Merge branch 'develop' into plot_meshlines

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# Add any Sphinx extension module names here, as strings. They can be extensions
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = ['sphinx.ext.pngmath']
extensions = ['sphinx.ext.pngmath', 'sphinxcontrib.tikz']
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templates_path = ['_templates']
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u'Massachusetts Institute of Technology', 'manual'),
]
latex_elements = {'preamble': '\\usepackage{enumitem}\\setlistdepth{9}'}
latex_elements = {
'preamble': '''
\usepackage{enumitem}
\setlistdepth{9}
\usepackage{tikz}
\usetikzlibrary{shapes,snakes,shadows,arrows,calc,decorations.markings,patterns,fit,matrix,spy}
'''
}
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.. _methods_cmfd:
================================================================
Nonlinear Diffusion Acceleration - Coarse Mesh Finite Difference
================================================================
This page section discusses how nonlinear diffusion acceleration (NDA) using
coarse mesh finite difference (CMFD) is implemented into OpenMC. Before we get
into the theory, general notation for this section is discussed.
--------
Notation
--------
Before deriving NDA relationships, notation is explained. If a parameter has a
:math:`\overline{\cdot}`, it is surface area-averaged and if it has a
:math:`\overline{\overline\cdot}`, it is volume-averaged. When describing a
specific cell in the geometry, indices :math:`(i,j,k)` are used which correspond
to directions :math:`(x,y,z)`. In most cases, the same operation is performed in
all three directions. To compactly write this, an arbitrary direction set
:math:`(u,v,w)` that corresponds to cell indices :math:`(l,m,n)` is used. Note
that :math:`u` and :math:`l` do not have to correspond to :math:`x` and
:math:`i`. However, if :math:`u` and :math:`l` correspond to :math:`y` and
:math:`j`, :math:`v` and :math:`w` correspond to :math:`x` and :math:`z`
directions. An example of this is shown in the following expression:
.. math::
:label: not1
\sum\limits_{u\in(x,y,z)}\left\langle\overline{J}^{u,g}_{l+1/2,m,n}
\Delta_m^v\Delta_n^w\right\rangle
Here, :math:`u` takes on each direction one at a time. The parameter :math:`J`
is surface area-averaged over the transverse indices :math:`m` and :math:`n`
located at :math:`l+1/2`. Usually, spatial indices are listed as subscripts and
the direction as a superscript. Energy group indices represented by :math:`g`
and :math:`h` are also listed as superscripts here. The group :math:`g` is the
group of interest and, if present, :math:`h` is all groups. Finally, any
parameter surrounded by :math:`\left\langle\cdot\right\rangle` represents a
tally quantity that can be edited from a Monte Carlo (MC) solution.
------
Theory
------
NDA is a diffusion model that has equivalent physics to a transport model. There
are many different methods that can be classified as NDA. The CMFD method is a
type of NDA that represents second order multigroup diffusion equations on a
coarse spatial mesh. Whether a transport model or diffusion model is used to
represent the distribution of neutrons, these models must satisfy the *neutron
balance equation*. This balance is represented by the following formula for a
specific energy group :math:`g` in cell :math:`(l,m,n)`:
.. math::
:label: eq_neut_bal
\sum\limits_{u\in(x,y,z)}\left(\left\langle\overline{J}^{u,g}_{l+1/2,m,n}
\Delta_m^v\Delta_n^w\right\rangle -
\left\langle\overline{J}^{u,g}_{l-1/2,m,n}
\Delta_m^v\Delta_n^w\right\rangle\right)
+
\left\langle\overline{\overline\Sigma}_{t_{l,m,n}}^g
\overline{\overline\phi}_{l,m,n}^g\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle
= \\
\sum\limits_{h=1}^G\left\langle
\overline{\overline{\nu_s\Sigma}}_{s_{l,m,n}}^{h\rightarrow
g}\overline{\overline\phi}_{l,m,n}^h\Delta_l^u\Delta_m^v\Delta_n^w
\right\rangle
+
\frac{1}{k_{eff}}\sum\limits_{h=1}^G
\left\langle\overline{\overline{\nu_f\Sigma}}_{f_{l,m,n}}^{h\rightarrow
g}\overline{\overline\phi}_{l,m,n}^h
\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle.
In eq. :eq:`eq_neut_bal` the parameters are defined as:
* :math:`\left\langle\overline{J}^{u,g}_{l\pm
1/2,m,n}\Delta_m^v\Delta_n^w\right\rangle` --- surface area-integrated net
current over surface :math:`(l\pm 1/2,m,n)` with surface normal in direction
:math:`u` in energy group :math:`g`. By dividing this quantity by the transverse
area, :math:`\Delta_m^v\Delta_n^w`, the surface area-averaged net current can
be computed.
* :math:`\left\langle\overline{\overline\Sigma}_{t_{l,m,n}}^g
\overline{\overline\phi}_{l,m,n}^g\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle`
--- volume-integrated total reaction rate over energy group :math:`g`.
* :math:`\left\langle\overline{\overline{\nu_s\Sigma}}_{s_{l,m,n}}^{h\rightarrow
g}
\overline{\overline\phi}_{l,m,n}^h\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle`
--- volume-integrated scattering production rate of neutrons that begin with
energy in group :math:`h` and exit reaction in group :math:`g`. This reaction
rate also includes the energy transfer of reactions (except fission) that
produce multiple neutrons such as (n, 2n); hence, the need for :math:`\nu_s`
to represent neutron multiplicity.
* :math:`k_{eff}` --- core multiplication factor.
* :math:`\left\langle\overline{\overline{\nu_f\Sigma}}_{f_{l,m,n}}^{h\rightarrow
g}\overline{\overline\phi}_{l,m,n}^h\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle`
--- volume-integrated fission production rate of neutrons from fissions in
group :math:`h` that exit in group :math:`g`.
Each quantity in :math:`\left\langle\cdot\right\rangle` represents a scalar value that
is obtained from an MC tally. A good verification step when using an MC code is
to make sure that tallies satisfy this balance equation within statistics. No
NDA acceleration can be performed if the balance equation is not satisfied.
There are three major steps to consider when performing NDA: (1) calculation of
macroscopic cross sections and nonlinear parameters, (2) solving an eigenvalue
problem with a system of linear equations, and (3) modifying MC source
distribution to align with the NDA solution on a chosen mesh. This process is
illustrated as a flow chart below. After a batch of neutrons
is simulated, NDA can take place. Each of the steps described above is described
in detail in the following sections.
.. tikz:: Flow chart of NDA process. Note "XS" is used for cross section and
"DC" is used for diffusion coefficient.
:libs: shapes, snakes, shadows, arrows, calc, decorations.markings, patterns, fit, matrix, spy
:include: cmfd_tikz/cmfd_flow.tikz
Calculation of Macroscopic Cross Sections
-----------------------------------------
A diffusion model needs macroscopic cross sections and diffusion coefficients to
solve for multigroup fluxes. Cross sections are derived by conserving reaction
rates predicted by MC tallies. From Eq. :eq:`eq_neut_bal`, total, scattering
production and fission production macroscopic cross sections are needed. They are
defined from MC tallies as follows:
.. math::
:label: xs1
\overline{\overline\Sigma}_{t_{l,m,n}}^g \equiv
\frac{\left\langle\overline{\overline\Sigma}_{t_{l,m,n}}^g
\overline{\overline\phi}_{l,m,n}^g\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle}
{\left\langle\overline{\overline\phi}_{l,m,n}^g
\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle},
.. math::
:label: xs2
\overline{\overline{\nu_s\Sigma}}_{s_{l,m,n}}^{h\rightarrow g} \equiv
\frac{\left\langle\overline{\overline{\nu_s\Sigma}}_{s_{l,m,n}}^{h\rightarrow
g}\overline{\overline\phi}_{l,m,n}^h\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle}
{\left\langle\overline{\overline\phi}_{l,m,n}^h
\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle}
and
.. math::
:label: xs3
\overline{\overline{\nu_f\Sigma}}_{f_{l,m,n}}^{h\rightarrow g} \equiv
\frac{\left\langle\overline{\overline{\nu_f\Sigma}}_{f_{l,m,n}}^{h\rightarrow
g}\overline{\overline\phi}_{l,m,n}^h\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle}
{\left\langle\overline{\overline\phi}_{l,m,n}^h\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle}.
In order to fully conserve neutron balance, leakage rates also need to be
preserved. In standard diffusion theory, leakage rates are represented by
diffusion coefficients. Unfortunately, it is not easy in MC to calculate a
single diffusion coefficient for a cell that describes leakage out of each
surface. Luckily, it does not matter what definition of diffusion coefficient is
used because nonlinear equivalence parameters will correct for this
inconsistency. However, depending on the diffusion coefficient definition
chosen, different convergence properties of NDA equations are observed.
Here, we introduce a diffusion coefficient that is derived for a coarse energy
transport reaction rate. This definition can easily be constructed from
MC tallies provided that angular moments of scattering reaction rates can
be obtained. The diffusion coefficient is defined as follows:
.. math::
:label: eq_transD
\overline{\overline D}_{l,m,n}^g =
\frac{\left\langle\overline{\overline\phi}_{l,m,n}^g
\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle}{3
\left\langle\overline{\overline\Sigma}_{tr_{l,m,n}}^g
\overline{\overline\phi}_{l,m,n}^g
\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle},
where
.. math::
:label: xs4
\left\langle\overline{\overline\Sigma}_{tr_{l,m,n}}^g
\overline{\overline\phi}_{l,m,n}^g\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle
=
\left\langle\overline{\overline\Sigma}_{t_{l,m,n}}^g
\overline{\overline\phi}_{l,m,n}^g\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle
\\ -
\left\langle\overline{\overline{\nu_s\Sigma}}_{s1_{l,m,n}}^g
\overline{\overline\phi}_{l,m,n}^g\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle.
Note that the transport reaction rate is calculated from the total reaction rate
reduced by the :math:`P_1` scattering production reaction rate. Equation :eq:`eq_transD`
does not represent the best definition of diffusion coefficients from MC;
however, it is very simple and usually fits into MC tally frameworks
easily. Different methods to calculate more accurate diffusion coefficients can
found in [Herman]_.
CMFD Equations
--------------
The first part of this section is devoted to discussing second-order finite
volume discretization of multigroup diffusion equations. This will be followed
up by the formulation of CMFD equations that are used in this NDA
scheme. When performing second-order finite volume discretization of the
diffusion equation, we need information that relates current to flux. In this
numerical scheme, each cell is coupled only to its direct neighbors. Therefore,
only two types of coupling exist: (1) cell-to-cell coupling and (2)
cell-to-boundary coupling. The derivation of this procedure is referred to as
finite difference diffusion equations and can be found in literature such
as [Hebert]_. These current/flux relationships are as follows:
* cell-to-cell coupling
.. math::
:label: eq_cell_cell
\overline{J}^{u,g}_{l\pm1/2,m,n} = -\frac{2\overline{\overline
D}_{l\pm1,m,n}^g\overline{\overline
D}_{l,m,n}^g}{\overline{\overline D}_{l\pm1,m,n}^g\Delta_l^u +
\overline{\overline
D}_{l,m,n}^g\Delta_{l\pm1}^u}
\left(\pm\overline{\overline{\phi}}_{l\pm1,m,n}^g\mp
\overline{\overline{\phi}}_{l,m,n}^g\right),
* cell-to-boundary coupling
.. math::
:label: eq_cell_bound
\overline{J}^{u,g}_{l\pm1/2,m,n} = \pm\frac{2\overline{\overline
D}_{l,m,n}^g\left(1 -
\beta_{l\pm1/2,m,n}^{u,g}\right)}{4\overline{\overline
D}_{l,m,n}^g\left(1 + \beta_{l\pm1/2,m,n}^{u,g}\right) + \left(1 -
\beta_{l\pm1/2,m,n}^{u,g}\right)\Delta_l^u}\overline{\overline{\phi}}_{l,m,n}^{g}.
In Eqs. :eq:`eq_cell_cell` and :eq:`eq_cell_bound`, the :math:`\pm` refers to
left (:math:`-x`) or right (:math:`+x`) surface in the :math:`x` direction,
back (:math:`-y`) or front (:math:`+y`) surface in the :math:`y` direction and
bottom (:math:`-z`) or top (:math:`+z`) surface in the :math:`z` direction. For
cell-to-boundary coupling, a general albedo, :math:`\beta_{l\pm1/2,m,n}^{u,g}`,
is used. The albedo is defined as the ratio of incoming (:math:`-` superscript)
to outgoing (:math:`+` superscript) partial current on any surface represented
as
.. math::
:label: eq_albedo
\beta_{l\pm1/2,m,n}^{u,g} =
\frac{\overline{J}^{u,g-}_{l\pm1/2,m,n}}{\overline{J}^{u,g+}_{l\pm1/2,m,n}}.
Common boundary conditions are: vacuum (:math:`\beta=0`), reflective
(:math:`\beta=1`) and zero flux (:math:`\beta=-1`). Both eq. :eq:`eq_cell_cell`
and eq. :eq:`eq_cell_bound` can be written in this generic form,
.. math::
:label: eq_dtilde
\overline{J}^{u,g}_{l\pm1/2,m,n} = \widetilde{D}_{l,m,n}^{u,g} \left(\dots\right).
The parameter :math:`\widetilde{D}_{l,m,n}^{u,g}` represents the linear
coupling term between current and flux. These current relationships can be
sustituted into eq. :eq:`eq_neut_bal` to produce a linear system of multigroup
diffusion equations for each spatial cell and energy group. However, a solution
to these equations is not consistent with a higher order transport solution
unless equivalence factors are present. This is because both the diffusion
approximation, governed by Fick's Law, and spatial trunction error will produce
differences. Therefore, a nonlinear parameter,
:math:`\widehat{D}_{l,m,n}^{u,g}`, is added to eqs. :eq:`eq_cell_cell` and
:eq:`eq_cell_bound`. These equations are, respectively,
.. math::
:label: eq_dhat_cell
\overline{J}^{u,g}_{l\pm1/2,m,n} = -\widetilde{D}_{l,m,n}^{u,g}
\left(\pm\overline{\overline{\phi}}_{l\pm1,m,n}^g\mp
\overline{\overline{\phi}}_{l,m,n}^g\right) + \widehat{D}_{l,m,n}^{u,g}
\left(\overline{\overline{\phi}}_{l\pm1,m,n}^g +
\overline{\overline{\phi}}_{l,m,n}^g\right)
and
.. math::
:label: eq_dhat_bound
\overline{J}^{u,g}_{l\pm1/2,m,n} = \pm\widetilde{D}_{l,m,n}^{u,g}
\overline{\overline{\phi}}_{l,m,n}^{g} + \widehat{D}_{l,m,n}^{u,g}
\overline{\overline{\phi}}_{l,m,n}^{g}.
The only unknown in each of these equations is the equivalence parameter. The
current, linear coupling term and flux can either be obtained or derived from
MC tallies. Thus, it is called nonlinear because it is dependent on the flux
which is updated on the next iteration.
Equations :eq:`eq_dhat_cell` and :eq:`eq_dhat_bound` can be substituted into
eq. :eq:`eq_neut_bal` to create a linear system of equations that is consistent
with transport physics. One example of this equation is written for an
interior cell,
.. math::
:label: eq_cmfd_sys
\sum_{u\in
x,y,x}\frac{1}{\Delta_l^u}\left[\left(-\tilde{D}_{l-1/2,m,n}^{u,g} -
\hat{D}_{l-1/2,m,n}^{u,g}\right)\overline{\overline{\phi}}_{l-1,m,n}^g\right.
+ \left(\tilde{D}_{l-1/2,m,n}^{u,g} +
\tilde{D}_{l+1/2,m,n}^{u,g} - \hat{D}_{l-1/2,m,n}^{u,g} +
\hat{D}_{l+1/2,m,n}^{u,g}\right)\overline{\overline{\phi}}_{l,m,n}^g
\\ +
\left. \left(-\tilde{D}_{l+1/2,m,n}^{u,g} +
\hat{D}_{l+1/2,m,n}^{u,g}\right)\overline{\overline{\phi}}_{l+1,m,n}^g
\right] +
\overline{\overline\Sigma}_{t_{l,m,n}}^g\overline{\overline{\phi}}_{l,m,n}^g
- \sum\limits_{h=1}^G\overline{\overline{\nu_s\Sigma}}^{h\rightarrow
g}_{s_{l,m,n}}\overline{\overline{\phi}}_{l,m,n}^h =
\frac{1}{k}\sum\limits_{h=1}^G\overline{\overline{\nu_f\Sigma}}^{h\rightarrow
g}_{f_{l,m,n}}\overline{\overline{\phi}}_{l,m,n}^h.
It should be noted that before substitution, eq. :eq:`eq_neut_bal` was divided
by the volume of the cell, :math:`\Delta_l^u\Delta_m^v\Delta_n^w`. Equation
:eq:`eq_cmfd_sys` can be represented in operator form as
.. math::
:label: eq_CMFDopers
\mathbb{M}\mathbf{\Phi} = \frac{1}{k}\mathbb{F}\mathbf{\Phi},
where :math:`\mathbb{M}` is the neutron loss matrix operator,
:math:`\mathbb{F}` is the neutron production matrix operator,
:math:`\mathbf{\Phi}` is the multigroup flux vector and :math:`k` is the
eigenvalue. This generalized eigenvalue problem is solved to obtain fundamental
mode multigroup fluxes and eigenvalue. In order to produce consistent results
with transport theory from these equations, the neutron balance equation must
have been satisfied by MC tallies. The desire is that CMFD equations will
produce a more accurate source than MC after each fission source generation.
CMFD Feedback
-------------
Now that a more accurate representation of the expected source distribution is
estimated from CMFD, it needs to be communicated back to MC. The first step
in this process is to generate a probability mass function that provides
information about how probable it is for a neutron to be born in a given cell
and energy group. This is represented as
.. math::
:label: eq_cmfd_psrc
p_{l,m,n}^g =
\frac{\sum_{h=1}^{G}\overline{\overline{\nu_f\Sigma}}^{h\rightarrow
g}_{f_{l,m,n}}\overline{\overline{\phi}}_{l,m,n}^h\Delta_l^u\Delta_m^v
\Delta_n^w}{\sum_n\sum_m\sum_l\sum_{h=1}^{G}\overline{
\overline{\nu_f\Sigma}}^{h\rightarrow
g}_{f_{l,m,n}}\overline{\overline{\phi}}_{l,m,n}^h\Delta_l^u\Delta_m^v
\Delta_n^w}.
This equation can be multiplied by the number of source neutrons to obtain an
estimate of the expected number of neutrons to be born in a given cell and
energy group. This distribution can be compared to the MC source distribution
to generate weight adjusted factors defined as
.. math::
:label: eq_waf
f_{l,m,n}^g = \frac{Np_{l,m,n}^g}{\sum\limits_s w_s};\quad s\in
\left(g,l,m,n\right).
The MC source distribution is represented on the same coarse mesh as
CMFD by summing all neutrons' weights, :math:`w_s`, in a given cell and
energy group. MC source weights can then be modified by this weight
adjustment factor so that it matches the CMFD solution on the coarse
mesh,
.. math::
:label: src_mod
w^\prime_s = w_s\times f_{l,m,n}^g;\quad s\in \left(g,l,m,n\right).
It should be noted that heterogeneous information about local coordinates and
energy remain constant throughout this modification process.
------------------------
Implementation in OpenMC
------------------------
The section describes how CMFD was implemented in OpenMC. Before the simulation
begins, a user sets up a CMFD input file that contains the following basic
information:
* CMFD mesh (space and energy),
* boundary conditions at edge of mesh (albedos),
* acceleration region (subset of mesh, optional),
* fission source generation (FSG)/batch that CMFD should begin, and
* whether CMFD feedback should be applied.
It should be noted that for more difficult simulations (e.g., light water
reactors), there are other options available to users such as tally resetting
parameters, effective down-scatter usage, tally estimator, etc. For more
information please see :ref:`usersguide_cmfd`.
Of the options described above, the optional acceleration subset region is an
uncommon feature. Because OpenMC only has a structured Cartesian mesh, mesh
cells may overlay regions that don't contain fissionable material and may be so
far from the core that the neutron flux is very low. If these regions were
included in the CMFD solution, bad estimates of diffusion parameters may result
and affect CMFD feedback. To deal with this, a user can carve out an active
acceleration region from their structured Cartesian mesh. This is illustrated
in diagram below. When placing a CMFD mesh over a geometry, the boundary
conditions must be known at the global edges of the mesh. If the geometry is
complex like the one below, one may have to cover the whole geometry including
the reactor pressure vessel because we know that there is a zero incoming
current boundary condition at the outer edge of the pressure vessel. This is
not viable in practice because neutrons in simulations may not reach mesh cells
that are near the pressure vessel. To circumvent this, one can shrink the mesh
to cover just the core region as shown in the diagram. However, one must still
estimate the boundary conditions at the global boundaries, but at these
locations, they are not readily known. In OpenMC, one can carve out the active
core region from the entire structured Cartesian mesh. This is shown in the
diagram below by the darkened region over the core. The albedo boundary
conditions at the active core/reflector boundary can be tallied indirectly
during the MC simulation with incoming and outgoing partial currents. This
allows the user to not have to worry about neutrons producing adequate tallies
in mesh cells far away from the core.
.. tikz:: Diagram of CMFD acceleration mesh
:libs: shapes, snakes, shadows, arrows, calc, decorations.markings, patterns, fit, matrix, spy
:include: cmfd_tikz/meshfig.tikz
During an MC simulation, CMFD tallies are accumulated. The basic tallies needed
are listed in Table :ref:`tab_tally`. Each tally is performed on a spatial and
energy mesh basis. The surface area-integrated net current is tallied on every
surface of the mesh. OpenMC tally objects are created by the CMFD code
internally, and cross sections are calculated at each CMFD feedback iteration.
The first CMFD iteration, controlled by the user, occurs just after tallies are
communicated to the master processor. Once tallies are collapsed, cross
sections, diffusion coefficients and equivalence parameters are calculated. This
is performed only on the acceleration region if that option has been activated
by the user. Once all diffusion parameters are calculated, CMFD matrices are
formed where energy groups are the inner most iteration index. In OpenMC,
compressed row storage sparse matrices are used due to the sparsity of CMFD
operators. An example of this sparsity is shown for the 3-D BEAVRS model in
figures :ref:`fig_loss` and :ref:`fig_prod` [BEAVRS]_. These matrices represent
an assembly radial mesh, 24 cell mesh in the axial direction and two energy
groups. The loss matrix is 99.92% sparse and the production matrix is 99.99%
sparse. Although the loss matrix looks like it is tridiagonal, it is really a
seven banded matrix with a block diagonal matrix for scattering. The production
matrix is a :math:`2\times 2` block diagonal; however, zeros are present because
no fission neutrons appear with energies in the thermal group.
.. _tab_tally:
.. table:: OpenMC CMFD tally list
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
| tally | score | filter |
+============================================================================================+================+===========================+
| \ :math:`\left\langle\overline{\overline\phi}_{l,m,n}^g | flux | mesh, energy |
| \Delta_l^u\Delta_m^v\Delta_n^w\right\rangle` | | |
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
| \ :math:`\left\langle\overline{\overline\Sigma}_{t_{l,m,n}}^g | total | mesh, energy |
| \overline{\overline\phi}_{l,m,n}^g\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle` | | |
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
| \ :math:`\left\langle\overline{\overline{\nu_s\Sigma}}_{s1_{l,m,n}}^g | nu-scatter-1 | mesh, energy |
| \overline{\overline\phi}_{l,m,n}^g\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle` | | |
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
| \ :math:`\left\langle\overline{\overline{\nu_s\Sigma}}_{s_{l,m,n}}^{h\rightarrow g} | nu-scatter | mesh, energy, energyout |
| \overline{\overline\phi}_{l,m,n}^h\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle` | | |
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
| \ :math:`\left\langle\overline{\overline{\nu_f\Sigma}}_{f_{l,m,n}}^{h\rightarrow g} | nu-fission | mesh, energy, energyout |
| \overline{\overline\phi}_{l,m,n}^h\Delta_l^u\Delta_m^v\Delta_n^w\right\rangle` | | |
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
| \ :math:`\left\langle\overline{J}^{u,g}_{l\pm 1/2,m,n}\Delta_m^v\Delta_n^w\right\rangle` | current | mesh, energy |
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
.. _fig_loss:
.. figure:: ../_images/loss.png
:scale: 50
Sparsity of Neutron Loss Operator
.. _fig_prod:
.. figure:: ../_images/prod.png
:scale: 50
Sparsity of Neutron Production Operator
To solve the eigenvalue problem with these matrices, different source iteration
and linear solvers can be used. The most common source iteration solver used is
standard power iteration as described in [Gill]_. To accelerate these source
iterations, a Wielandt shift scheme can be used as discussed in [Park]_. PETSc
solvers were first implemented to perform the linear solution in parallel that
occurs once per source iteration. When using PETSc, different types of parallel
linear solvers and preconditioners can be used. By default, OpenMC uses an
incomplete LU preconditioner and a GMRES Krylov solver. After some initial
studies of parallelization with PETSc, it was observed that because CMFD
matrices are very sparse, solution times do not scale well. An additional
Gauss-Seidel linear solver with Chebyshev acceleration was added that is
similar to the one used for CMFD in CASMO [Rhodes]_ and [Smith]_. This solver
was implemented with a custom section for two energy groups. Because energy
group is the inner most index, a block diagonal is formed when using more than
one group. For two groups, it is easy to invert this diagonal analytically
inside the Gauss-Seidel iterative solver. For more than two groups, this
analytic inversion can still be performed, but with more computational effort.
A standard Gauss-Seidel solver is used for more than two groups.
Besides a power iteration, a Jacobian-free Newton-Krylov method was also
implemented to obtain eigenvalue and multigroup fluxes as described in [Gill]_
and [Knoll]_. This method is not the primary one used, but has gotten recent
attention due to its coupling advantages to other physics such as thermal
hydraulics. Once multigroup fluxes are obtained, a normalized fission source is
calculated in the code using eq. :eq:`eq_cmfd_psrc` directly.
The next step in the process is to compute weight adjustment factors. These are
calculated by taking the ratio of the expected number of neutrons from the CMFD
source distribution to the current number of neutrons in each mesh. It is
straightforward to compute the CMFD number of neutrons because it is the
product between the total starting initial weight of neutrons and the CMFD
normalized fission source distribution. To compute the number of neutrons from
the current MC source, OpenMC sums the statistical
weights of neutrons from the source bank on a given spatial and energy mesh.
Once weight adjustment factors were calculated, each neutron's statistical
weight in the source bank was modified according to its location and energy.
Examples of CMFD simulations using OpenMC can be found in [Herman_Thesis]_.
----------
References
----------
.. [BEAVRS] Nick Horelik, Bryan Herman. *Benchmark for Evaluation And Verification of Reactor
Simulations*. Massachusetts Institute of Technology, http://crpg.mit.edu/pub/beavrs
, 2013.
.. [Gill] Daniel F. Gill. *Newton-Krylov methods for the solution of the k-eigenvalue problem in
multigroup neutronics calculations*. Ph.D. thesis, Pennsylvania State University, 2010.
.. [Hebert] Alain Hebert. *Applied reactor physics*. Presses Internationales Polytechnique,
Montreal, 2009.
.. [Herman] Bryan R. Herman, Benoit Forget, Kord Smith, and Brian N. Aviles. Improved
diffusion coefficients generated from Monte Carlo codes. In *Proceedings of M&C
2013*, Sun Valley, ID, USA, May 5 - 9, 2013.
.. [Herman_Thesis] Bryan R. Herman. *Monte Carlo and Thermal Hydraulic Coupling using
Low-Order Nonlinear Diffusion Acceleration*. Sc.D. thesis,
Massachusetts Institute of Technology, 2014.
.. [Knoll] D.A. Knoll, H. Park, and C. Newman. *Acceleration of k-eigenvalue/criticality
calculations using the Jacobian-free Newton-Krylov method*. Nuclear Science and
Engineering, 167:133140, 2011.
.. [Park] H. Park, D.A. Knoll, and C.K. Newman. *Nonlinear acceleration of transport
criticality problems*. Nuclear Science and Engineering, 172:5265, 2012.
.. [Rhodes] Joel Rhodes and Malte Edenius. *CASMO-4 --- A Fuel Assembly Burnup Program.
Users Manual*. Studsvik of America, ssp-09/443-u rev 0, proprietary edition, 2001.
.. [Smith] Kord S Smith and Joel D Rhodes III. *Full-core, 2-D, LWR core calculations with
CASMO-4E*. In Proceedings of PHYSOR 2002, Seoul, Korea, October 7 - 10, 2002.

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@ -0,0 +1,19 @@
\begin{tikzpicture}
\matrix[every node/.style={draw, thick, minimum width=3cm, minimum height=1cm, align=center}, column sep=2cm, row sep=1cm] (m) {
\node[draw, fill=red!40] (start) {Batch $i$ \\ tally NDA}; & \\
\node[draw, diamond, aspect=2, fill=green!40] (cmfd) {Run NDA?}; & \node[draw, fill=red!40] (end) {Batch $i + 1$ \\ tally NDA}; \\
\node[draw, fill=blue!40] (xs) {Calculate XS \& DC}; & \node[draw, fill=blue!40] (modify) {Modify MC Source}; \\
\node[draw, fill=blue!40] (nonlinear) {Calculate Equivalence}; & \node[draw, fill=blue!40] (eqs) {Solve NDA eqs.};\\
};
\begin{scope}[every path/.style={->,very thick,draw}]
\draw (start.south) -- (cmfd.north);
\draw (cmfd.east) -- node[above] {no} (end.west);
\draw (cmfd.south) -- node[right] {yes} (xs.north);
\draw (xs.south) -- (nonlinear.north);
\draw (nonlinear.east) -- (eqs.west);
\draw (eqs.north) -- (modify.south);
\draw (modify.north) -- (end.south);
\end{scope}
\end{tikzpicture}

View file

@ -0,0 +1,628 @@
% these dimensions are determined in arrow_dimms.ods
\def\scale{1.0}
\def\latWidth{0.2808363589*\scale}
\def\RPVOR{3*\scale}
\def\rectW{0.75*\scale}
\def\RPVIR{2.8694005485*\scale}
\def\BarrelIR{2.4547472901*\scale}
\def\BarrelOR{2.5293848766*\scale}
\def\ShieldOR{2.6040224631*\scale}
\def\bafCIRx{0.9829272561*\scale}
\def\bafCIRy{2.1062726917*\scale}
\def\bafCORx{1.0119529842*\scale}
\def\bafCORy{2.1352984197*\scale}
\def\bafMIRx{1.8254363328*\scale}
\def\bafMIRy{1.5445999739*\scale}
\def\bafMORx{1.8544620609*\scale}
\def\bafMORy{1.573625702*\scale}
\tikzset{Assembly/.style={
inner sep=0pt,
text width=\latWidth in,
minimum size=\latWidth in,
draw=black,
align=center
}
}
\def\tkzRPV{(0,0) circle (\RPVIR) (0,0) circle (\RPVOR)}
\def\tkzBarrel{(0,0) circle (\BarrelIR) (0,0) circle (\BarrelOR)}
\def\tkzShields{(0,0) circle (\BarrelOR) (0,0) circle (\ShieldOR)}
\def\tkzBaffCOR{(-\bafCORx, -\bafCORy) rectangle (\bafCORx, \bafCORy)}
\def\tkzBaffCIR{(-\bafCIRx, -\bafCIRy) rectangle (\bafCIRx, \bafCIRy)}
\def\tkzBaffMOR{(-\bafMORx, -\bafMORy) rectangle (\bafMORx, \bafMORy)}
\def\tkzBaffMIR{(-\bafMIRx, -\bafMIRy) rectangle (\bafMIRx, \bafMIRy) }
\def\tkzBaffleC{ \tkzBaffCIR \tkzBaffCOR }
\def\tkzBaffleM{ \tkzBaffMIR \tkzBaffMOR }
\def\tkzBaffCClip{\tkzBaffCIR (-\RPVOR, -\RPVOR) rectangle (\RPVOR, \RPVOR)}
\def\tkzBaffMClip{\tkzBaffMIR (-\RPVOR, -\RPVOR) rectangle (\RPVOR, \RPVOR)}
\def\highenr{blue!50}
\def\midenr{yellow!50}
\def\lowenr{red!50}
\def\lightgray{black!25}
\def\darkgray{black!80}
\begin{tikzpicture}[x=1in,y=1in, xshift=3in]
\scalebox{0.6}{
% draw RPV, barrel, and shield panels
\path[fill=black,even odd rule] \tkzRPV;
\path[fill=black,even odd rule] \tkzBarrel;
\begin{scope}
\clip[rotate around={45:(0,0)}] (-\RPVOR, -\rectW) rectangle (\RPVOR, \rectW) (-\rectW, \RPVOR) rectangle (\rectW, -\RPVOR);
\path[fill=black,even odd rule] \tkzShields;
\end{scope}
% draw assembly row/column headers
\draw[red, thick] ($(-7*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {R} -- ($(-7*\latWidth,4*\latWidth)$);
\draw[red, thick] ($(-6*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {P} -- ($(-6*\latWidth,6*\latWidth)$);
\draw[red, thick] ($(-5*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {N} -- ($(-5*\latWidth,7*\latWidth)$);
\draw[red, thick] ($(-4*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {M} -- ($(-4*\latWidth,7*\latWidth)$);
\draw[red, thick] ($(-3*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {L} -- ($(-3*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(-2*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {K} -- ($(-2*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(-1*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {J} -- ($(-1*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(-0*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {H} -- ($(-0*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(1*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {G} -- ($(1*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(2*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {F} -- ($(2*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(3*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {E} -- ($(3*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(4*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {D} -- ($(4*\latWidth,7*\latWidth)$);
\draw[red, thick] ($(5*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {C} -- ($(5*\latWidth,7*\latWidth)$);
\draw[red, thick] ($(6*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {B} -- ($(6*\latWidth,6*\latWidth)$);
\draw[red, thick] ($(7*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[above, anchor=south] {A} -- ($(7*\latWidth,4*\latWidth)$);
\begin{scope}[rotate=90]
\draw[red, thick] ($(-7*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {15} -- ($(-7*\latWidth,4*\latWidth)$);
\draw[red, thick] ($(-6*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {14} -- ($(-6*\latWidth,6*\latWidth)$);
\draw[red, thick] ($(-5*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {13} -- ($(-5*\latWidth,7*\latWidth)$);
\draw[red, thick] ($(-4*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {12} -- ($(-4*\latWidth,7*\latWidth)$);
\draw[red, thick] ($(-3*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {11} -- ($(-3*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(-2*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {10} -- ($(-2*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(-1*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {9} -- ($(-1*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(-0*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {8} -- ($(-0*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(1*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {7} -- ($(1*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(2*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {6} -- ($(2*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(3*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {5} -- ($(3*\latWidth,8*\latWidth)$);
\draw[red, thick] ($(4*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {4} -- ($(4*\latWidth,7*\latWidth)$);
\draw[red, thick] ($(5*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {3} -- ($(5*\latWidth,7*\latWidth)$);
\draw[red, thick] ($(6*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {2} -- ($(6*\latWidth,6*\latWidth)$);
\draw[red, thick] ($(7*\latWidth,\RPVOR/\latWidth*\latWidth)$) node[left, anchor=east] {1} -- ($(7*\latWidth,4*\latWidth)$);
\end{scope}
% draw fuel assembly nodes
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-6*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-5*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-4*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-3*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-2*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-1*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-0*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 1*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 2*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 3*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 4*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 5*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 6*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-6*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-5*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-4*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-3*\latWidth,7*\latWidth)$) {}; % L1
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-2*\latWidth,7*\latWidth)$) {6}; % K1
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-1*\latWidth,7*\latWidth)$) {}; % J1
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-0*\latWidth,7*\latWidth)$) {6}; % H1
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 1*\latWidth,7*\latWidth)$) {}; % G1
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 2*\latWidth,7*\latWidth)$) {6}; % F1
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 3*\latWidth,7*\latWidth)$) {}; % E1
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 4*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 5*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 6*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-6*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-5*\latWidth,6*\latWidth)$) {}; % N2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-4*\latWidth,6*\latWidth)$) {}; % M2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-3*\latWidth,6*\latWidth)$) {16}; % L2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-2*\latWidth,6*\latWidth)$) {}; % K2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-1*\latWidth,6*\latWidth)$) {20}; % J2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-0*\latWidth,6*\latWidth)$) {}; % H2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 1*\latWidth,6*\latWidth)$) {20}; % G2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 2*\latWidth,6*\latWidth)$) {}; % F2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 3*\latWidth,6*\latWidth)$) {16}; % E2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 4*\latWidth,6*\latWidth)$) {}; % D2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 5*\latWidth,6*\latWidth)$) {}; % C2
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 6*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-6*\latWidth,5*\latWidth)$) {}; % P3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-5*\latWidth,5*\latWidth)$) {15}; % N3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-4*\latWidth,5*\latWidth)$) {16}; % M3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-3*\latWidth,5*\latWidth)$) {}; % L3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-2*\latWidth,5*\latWidth)$) {16}; % K3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-1*\latWidth,5*\latWidth)$) {}; % J3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-0*\latWidth,5*\latWidth)$) {16}; % H3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 1*\latWidth,5*\latWidth)$) {}; % G3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 2*\latWidth,5*\latWidth)$) {16}; % F3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 3*\latWidth,5*\latWidth)$) {}; % E3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 4*\latWidth,5*\latWidth)$) {16}; % D3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 5*\latWidth,5*\latWidth)$) {15}; % C3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 6*\latWidth,5*\latWidth)$) {}; % B3
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,5*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-6*\latWidth,4*\latWidth)$) {}; % P4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-5*\latWidth,4*\latWidth)$) {16}; % N4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-4*\latWidth,4*\latWidth)$) {}; % M4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-3*\latWidth,4*\latWidth)$) {16}; % L4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-2*\latWidth,4*\latWidth)$) {}; % K4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-1*\latWidth,4*\latWidth)$) {12}; % J4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-0*\latWidth,4*\latWidth)$) {}; % H4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 1*\latWidth,4*\latWidth)$) {12}; % G4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 2*\latWidth,4*\latWidth)$) {}; % F4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 3*\latWidth,4*\latWidth)$) {16}; % E4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 4*\latWidth,4*\latWidth)$) {}; % D4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 5*\latWidth,4*\latWidth)$) {16}; % C4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 6*\latWidth,4*\latWidth)$) {}; % B4
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,4*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-7*\latWidth,3*\latWidth)$) {}; % R5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-7*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-6*\latWidth,3*\latWidth)$) {16}; % P5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-5*\latWidth,3*\latWidth)$) {}; % N5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-4*\latWidth,3*\latWidth)$) {16}; % M5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-3*\latWidth,3*\latWidth)$) {}; % L5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-2*\latWidth,3*\latWidth)$) {12}; % K5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-1*\latWidth,3*\latWidth)$) {}; % J5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-0*\latWidth,3*\latWidth)$) {12}; % H5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 1*\latWidth,3*\latWidth)$) {}; % G5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 2*\latWidth,3*\latWidth)$) {12}; % F5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 3*\latWidth,3*\latWidth)$) {}; % E5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 4*\latWidth,3*\latWidth)$) {16}; % D5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 5*\latWidth,3*\latWidth)$) {}; % C5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 6*\latWidth,3*\latWidth)$) {16}; % B5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 7*\latWidth,3*\latWidth)$) {}; % A5
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 7*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,3*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-7*\latWidth,2*\latWidth)$) {6}; % R6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-7*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-6*\latWidth,2*\latWidth)$) {}; % P6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-5*\latWidth,2*\latWidth)$) {16}; % N6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-4*\latWidth,2*\latWidth)$) {}; % M6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-3*\latWidth,2*\latWidth)$) {12}; % L6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-2*\latWidth,2*\latWidth)$) {}; % K6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-1*\latWidth,2*\latWidth)$) {12}; % J6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-0*\latWidth,2*\latWidth)$) {}; % H6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 1*\latWidth,2*\latWidth)$) {12}; % G6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 2*\latWidth,2*\latWidth)$) {}; % F6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 3*\latWidth,2*\latWidth)$) {12}; % E6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 4*\latWidth,2*\latWidth)$) {}; % D6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 5*\latWidth,2*\latWidth)$) {16}; % C6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 6*\latWidth,2*\latWidth)$) {}; % B6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 7*\latWidth,2*\latWidth)$) {6}; % A6
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 7*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,2*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-7*\latWidth,1*\latWidth)$) {}; % R7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-7*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-6*\latWidth,1*\latWidth)$) {20}; % P7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-5*\latWidth,1*\latWidth)$) {}; % N7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-4*\latWidth,1*\latWidth)$) {12}; % M7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-3*\latWidth,1*\latWidth)$) {}; % L7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-2*\latWidth,1*\latWidth)$) {12}; % K7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-1*\latWidth,1*\latWidth)$) {}; % J7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-0*\latWidth,1*\latWidth)$) {16}; % H7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 1*\latWidth,1*\latWidth)$) {}; % G7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 2*\latWidth,1*\latWidth)$) {12}; % F7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 3*\latWidth,1*\latWidth)$) {}; % E7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 4*\latWidth,1*\latWidth)$) {12}; % D7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 5*\latWidth,1*\latWidth)$) {}; % C7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 6*\latWidth,1*\latWidth)$) {20}; % B7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 7*\latWidth,1*\latWidth)$) {}; % A7
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 7*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,1*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-7*\latWidth,0*\latWidth)$) {6}; % R8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-7*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-6*\latWidth,0*\latWidth)$) {}; % P8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-5*\latWidth,0*\latWidth)$) {16}; % N8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-4*\latWidth,0*\latWidth)$) {}; % M8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-3*\latWidth,0*\latWidth)$) {12}; % L8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-2*\latWidth,0*\latWidth)$) {}; % K8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-1*\latWidth,0*\latWidth)$) {16}; % J8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-0*\latWidth,0*\latWidth)$) {}; % H8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 1*\latWidth,0*\latWidth)$) {16}; % G8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 2*\latWidth,0*\latWidth)$) {}; % F8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 3*\latWidth,0*\latWidth)$) {12}; % E8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 4*\latWidth,0*\latWidth)$) {}; % D8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 5*\latWidth,0*\latWidth)$) {16}; % C8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 6*\latWidth,0*\latWidth)$) {}; % B8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 7*\latWidth,0*\latWidth)$) {6}; % A8
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 7*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,0*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-7*\latWidth,-1*\latWidth)$) {}; % R9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-7*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-6*\latWidth,-1*\latWidth)$) {20}; % P9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-5*\latWidth,-1*\latWidth)$) {}; % N9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-4*\latWidth,-1*\latWidth)$) {12}; % M9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-3*\latWidth,-1*\latWidth)$) {}; % L9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-2*\latWidth,-1*\latWidth)$) {12}; % K9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-1*\latWidth,-1*\latWidth)$) {}; % J9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-0*\latWidth,-1*\latWidth)$) {16}; % H9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 1*\latWidth,-1*\latWidth)$) {}; % G9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 2*\latWidth,-1*\latWidth)$) {12}; % F9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 3*\latWidth,-1*\latWidth)$) {}; % E9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 4*\latWidth,-1*\latWidth)$) {12}; % D9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 5*\latWidth,-1*\latWidth)$) {}; % C9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 6*\latWidth,-1*\latWidth)$) {20}; % B9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 7*\latWidth,-1*\latWidth)$) {}; % A9
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 7*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-1*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-7*\latWidth,-2*\latWidth)$) {6}; % R10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-7*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-6*\latWidth,-2*\latWidth)$) {}; % P10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-5*\latWidth,-2*\latWidth)$) {16}; % N10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-4*\latWidth,-2*\latWidth)$) {}; % M10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-3*\latWidth,-2*\latWidth)$) {12}; % L10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-2*\latWidth,-2*\latWidth)$) {}; % K10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-1*\latWidth,-2*\latWidth)$) {12}; % J10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-0*\latWidth,-2*\latWidth)$) {}; % H10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 1*\latWidth,-2*\latWidth)$) {12}; % G10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 2*\latWidth,-2*\latWidth)$) {}; % F10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 3*\latWidth,-2*\latWidth)$) {12}; % E10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 4*\latWidth,-2*\latWidth)$) {}; % D10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 5*\latWidth,-2*\latWidth)$) {16}; % C10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 6*\latWidth,-2*\latWidth)$) {}; % B10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 7*\latWidth,-2*\latWidth)$) {6}; % A10
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 7*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-2*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-7*\latWidth,-3*\latWidth)$) {}; % R11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-7*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-6*\latWidth,-3*\latWidth)$) {16}; % P11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-5*\latWidth,-3*\latWidth)$) {}; % N11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-4*\latWidth,-3*\latWidth)$) {16}; % M11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-3*\latWidth,-3*\latWidth)$) {}; % L11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-2*\latWidth,-3*\latWidth)$) {12}; % K11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-1*\latWidth,-3*\latWidth)$) {}; % J11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-0*\latWidth,-3*\latWidth)$) {12}; % H11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 1*\latWidth,-3*\latWidth)$) {}; % G11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 2*\latWidth,-3*\latWidth)$) {12}; % F11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 3*\latWidth,-3*\latWidth)$) {}; % E11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 4*\latWidth,-3*\latWidth)$) {16}; % D11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 5*\latWidth,-3*\latWidth)$) {}; % C11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 6*\latWidth,-3*\latWidth)$) {16}; % B11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 7*\latWidth,-3*\latWidth)$) {}; % A11
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 7*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-3*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-6*\latWidth,-4*\latWidth)$) {}; % P12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-5*\latWidth,-4*\latWidth)$) {16}; % N12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-4*\latWidth,-4*\latWidth)$) {}; % M12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-3*\latWidth,-4*\latWidth)$) {16}; % L12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-2*\latWidth,-4*\latWidth)$) {}; % K12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-1*\latWidth,-4*\latWidth)$) {12}; % J12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-0*\latWidth,-4*\latWidth)$) {}; % H12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 1*\latWidth,-4*\latWidth)$) {12}; % G12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 2*\latWidth,-4*\latWidth)$) {}; % F12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 3*\latWidth,-4*\latWidth)$) {16}; % E12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 4*\latWidth,-4*\latWidth)$) {}; % D12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 5*\latWidth,-4*\latWidth)$) {16}; % C12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 6*\latWidth,-4*\latWidth)$) {}; % B12
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-4*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-6*\latWidth,-5*\latWidth)$) {}; % P13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-6*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-5*\latWidth,-5*\latWidth)$) {15}; % N13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-4*\latWidth,-5*\latWidth)$) {16}; % M13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-3*\latWidth,-5*\latWidth)$) {}; % L13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-2*\latWidth,-5*\latWidth)$) {16}; % K13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-1*\latWidth,-5*\latWidth)$) {}; % J13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($(-0*\latWidth,-5*\latWidth)$) {16}; % H13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 1*\latWidth,-5*\latWidth)$) {}; % G13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 2*\latWidth,-5*\latWidth)$) {16}; % F13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 3*\latWidth,-5*\latWidth)$) {}; % E13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\midenr] at ($( 4*\latWidth,-5*\latWidth)$) {16}; % D13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 5*\latWidth,-5*\latWidth)$) {15}; % C13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 6*\latWidth,-5*\latWidth)$) {}; % B13
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 6*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-5*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-6*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-5*\latWidth,-6*\latWidth)$) {}; % N14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-5*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-4*\latWidth,-6*\latWidth)$) {}; % M14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-4*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-3*\latWidth,-6*\latWidth)$) {16}; % L14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-2*\latWidth,-6*\latWidth)$) {}; % K14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-1*\latWidth,-6*\latWidth)$) {20}; % J14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($(-0*\latWidth,-6*\latWidth)$) {}; % H14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 1*\latWidth,-6*\latWidth)$) {20}; % G14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lowenr] at ($( 2*\latWidth,-6*\latWidth)$) {}; % F14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 3*\latWidth,-6*\latWidth)$) {16}; % E14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 4*\latWidth,-6*\latWidth)$) {}; % D14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 4*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 5*\latWidth,-6*\latWidth)$) {}; % C14
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 5*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 6*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-6*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-6*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-5*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-4*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-3*\latWidth,-7*\latWidth)$) {}; % L15
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-3*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-2*\latWidth,-7*\latWidth)$) {6}; % K15
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-2*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-1*\latWidth,-7*\latWidth)$) {}; % J15
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-1*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($(-0*\latWidth,-7*\latWidth)$) {6}; % H15
\node [Assembly, fill=\darkgray, opacity=0.7] at ($(-0*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 1*\latWidth,-7*\latWidth)$) {}; % G15
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 1*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 2*\latWidth,-7*\latWidth)$) {6}; % F15
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 2*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\highenr] at ($( 3*\latWidth,-7*\latWidth)$) {}; % E15
\node [Assembly, fill=\darkgray, opacity=0.7] at ($( 3*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 4*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 5*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 6*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-7*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-8*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-7*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-6*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-5*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-4*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-3*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-2*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-1*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($(-0*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 1*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 2*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 3*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 4*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 5*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 6*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 7*\latWidth,-8*\latWidth)$) {};
\node [Assembly, fill=\lightgray, opacity=0.3] at ($( 8*\latWidth,-8*\latWidth)$) {};
% draw baffle north/south
\begin{scope}[even odd rule]
\clip[rotate=90] \tkzBaffMClip;
\path[fill=black] \tkzBaffleC;
\end{scope}
\begin{scope}[even odd rule]
\clip \tkzBaffCClip;
\clip \tkzBaffMClip;
\path[fill=black, rotate=90] \tkzBaffleM;
\end{scope}
% draw baffle east/west
\begin{scope}[rotate=90]
\begin{scope}[even odd rule]
\clip[rotate=90] \tkzBaffMClip;
\path[fill=black] \tkzBaffleC;
\end{scope}
\begin{scope}[even odd rule]
\clip \tkzBaffCClip;
\clip \tkzBaffMClip;
\path[fill=black, rotate=90] \tkzBaffleM;
\end{scope}
\end{scope}}
\end{tikzpicture}

View file

@ -16,3 +16,4 @@ Theory and Methodology
tallies
eigenvalue
parallelization
cmfd

View file

@ -10,6 +10,7 @@ bugs fixed, and known issues for each successive release.
.. toctree::
:maxdepth: 1
notes_0.6.1
notes_0.6.0
notes_0.5.4
notes_0.5.3

View file

@ -0,0 +1,63 @@
.. _notes_0.6.1:
==============================
Release Notes for OpenMC 0.6.1
==============================
-------------------
System Requirements
-------------------
There are no special requirements for running the OpenMC code. As of this
release, OpenMC has been tested on a variety of Linux distributions, Mac OS X,
and Microsoft Windows 7. Memory requirements will vary depending on the size of
the problem at hand (mostly on the number of nuclides in the problem).
------------
New Features
------------
- Coarse mesh finite difference acceleration no longer requires PETSc
- Statepoint file numbering is now zero-padded
- Python scripts now compatible with Python 2 or 3
- Ability to run particle restarts in fixed source calculations
- Capability to filter box source by fissionable materials
- Nuclide/element names are now case insensitive in input files
- Improved treatment of resonance scattering for heavy nuclides
---------
Bug Fixes
---------
- 03e890_: Check for energy-dependent multiplicities in ACE files
- 4439de_: Fix distance-to-surface calculation for general plane surface
- 5808ed_: Account for differences in URR band probabilities at different energies
- 2e60c0_: Allow zero atom/weight percents in materials
- 3e0870_: Don't use PWD environment variable when setting path to input files
- dc4776_: Handle probability table resampling correctly
- 01178b_: Fix metastables nuclides in NNDC cross_sections.xml file
- 62ec43_: Don't read tallies.xml when OpenMC is run in plotting mode
- 2a95ef_: Prevent segmentation fault on "current" score without mesh filter
.. _03e890: https://github.com/mit-crpg/openmc/commit/03e890
.. _4439de: https://github.com/mit-crpg/openmc/commit/4439de
.. _5808ed: https://github.com/mit-crpg/openmc/commit/5808ed
.. _2e60c0: https://github.com/mit-crpg/openmc/commit/2e60c0
.. _3e0870: https://github.com/mit-crpg/openmc/commit/3e0870
.. _dc4776: https://github.com/mit-crpg/openmc/commit/dc4776
.. _01178b: https://github.com/mit-crpg/openmc/commit/01178b
.. _62ec43: https://github.com/mit-crpg/openmc/commit/62ec43
.. _2a95ef: https://github.com/mit-crpg/openmc/commit/2a95ef
------------
Contributors
------------
This release contains new contributions from the following people:
- `Sterling Harper <smharper@mit.edu>`_
- `Bryan Herman <bherman@mit.edu>`_
- `Adam Nelson <nelsonag@umich.edu>`_
- `Paul Romano <paul.k.romano@gmail.com>`_
- `Jon Walsh <walshjon@mit.edu>`_
- `Will Boyd <wbinventor@gmail.com>`_

View file

@ -261,7 +261,7 @@ or sub-elements and can be set to either "false" or "true".
*Default*: true
``<resonance_scattering>`` Element
----------------------
----------------------------------
The ``resonance_scattering`` element can contain one or more of the following
attributes or sub-elements:
@ -269,7 +269,7 @@ attributes or sub-elements:
:scatterer:
An element with attributes/sub-elements called ``nuclide``, ``method``,
``xs_label``, ``xs_label_0K``, ``E_min``, and ``E_max``. The ``nuclide``
attribute is the name, as given by the ``name`` attribute within the
attribute is the name, as given by the ``name`` attribute within the
``nuclide`` sub-element of the ``material`` element in ``materials.xml``,
of the nuclide to which a resonance scattering treatment is to be applied.
The ``method`` attribute gives the type of resonance scattering treatment
@ -433,6 +433,13 @@ attributes/sub-elements:
*Default*: 0.988 2.249
:write_initial:
An element specifying whether to write out the initial source bank used at
the beginning of the first batch. The output file is named
"initial_source.binary(h5)"
*Default*: false
``<state_point>`` Element
-------------------------
@ -1323,6 +1330,8 @@ attributes or sub-elements. These are not used in "voxel" plots:
*Default*: None
.. _usersguide_cmfd:
------------------------------
CMFD Specification -- cmfd.xml
------------------------------
@ -1332,15 +1341,6 @@ Currently, it allows users to accelerate fission source convergence during
inactive neutron batches. To run CMFD, the ``<run_cmfd>`` element in
``settings.xml`` should be set to "true".
``<active_flush>`` Element
--------------------------
The ``<active_flush>`` element controls the batch where CMFD tallies should be
reset. CMFD tallies should be reset before active batches so they are accumulated
without bias.
*Default*: 0
``<begin>`` Element
-------------------
@ -1362,7 +1362,25 @@ The ``<display>`` element sets one additional CMFD output column. Options are:
* "source" - prints the RMS [%] between the OpenMC fission source and CMFD
fission source.
*Default*: None
*Default*: balance
``<dhat_reset>`` Element
------------------------
The ``<dhat_reset>`` element controls whether :math:`\widehat{D}` nonlinear
CMFD parameters should be reset to zero before solving CMFD eigenproblem.
It can be turned on with "true" and off with "false".
*Default*: false
``<downscatter>`` Element
-------------------------
The ``<downscatter>`` element controls whether an effective downscatter cross
section should be used when using 2-group CMFD. It can be turned on with "true"
and off with "false".
*Default*: false
``<feedback>`` Element
----------------------
@ -1373,24 +1391,16 @@ It can be turned on with "true" and off with "false".
*Default*: false
``<inactive>`` Element
----------------------
``<gauss_seidel_tolerance>`` Element
------------------------------------
The ``<inactive>`` element controls if cmfd tallies should be accumulated
during inactive batches. For some applications, CMFD tallies may not be
needed until the start of active batches. This option can be turned on
with "true" and off with "false"
The ``<gauss_seidel_tolerance>`` element specifies two parameters. The first is
the absolute inner tolerance for Gauss-Seidel iterations when performing CMFD
and the second is the relative inner tolerance for Gauss-Seidel iterations
for CMFD calculations. It is only used in the standalone CMFD power iteration
solver and not when PETSc is active.
*Default*: true
``<inactive_flush>`` Element
----------------------------
The ``<inactive_flush>`` element controls when CMFD tallies are reset during
inactive batches. The integer set here is the interval at which this reset
occurs. The amout of resets is controlled with the ``<num_flushes>`` element.
*Defualt*: 9999
*Default*: 1.e-10 1.e-5
``<ksp_monitor>`` Element
-------------------------
@ -1399,9 +1409,16 @@ The ``<ksp_monitor>`` element is used to view the convergence of linear GMRES
iterations in PETSc. This option can be turned on with "true" and turned off
with "false".
*Default*: false
``<ktol>`` Element
--------------------
The ``<ktol>`` element specifies the tolerance on the eigenvalue when performing
CMFD power iteration.
*Default*: 1.e-8
``<mesh>`` Element
------------------
@ -1470,14 +1487,6 @@ not impact the calculation.
*Default*: 1.0
``<num_flushes>`` Element
-------------------------
The ``<num_flushes>`` element controls the number of CMFD tally resets that
occur during inactive CMFD batches.
*Default*: 9999
``<power_monitor>`` Element
---------------------------
@ -1490,16 +1499,8 @@ This option can be turned on with "true" and turned off with "false".
-------------------------
The ``<run_adjoint>`` element can be turned on with "true" to have an adjoint
calculation be performed on the last batch when CMFD is active.
*Default*: false
``<snes_monitor>`` Element
--------------------------
The ``<snes_monitor>`` element is used to view the convergence of the nonlinear SNES
function in PETSc. This option can be turned on with "true" and turned off with "false".
calculation be performed on the last batch when CMFD is active. OpenMC should be
compiled with PETSc when using this option.
*Default*: false
@ -1512,6 +1513,41 @@ By setting "power", power iteration is used and by setting "jfnk", JFNK is used.
*Default*: power
``<shift>`` Element
--------------------
The ``<shfit>`` element specifies an optional Wielandt shift parameter for
accelerating power iterations. It can only be used when PETSc is not active.
It is by default very large so the impact of the shift is effectively zero.
*Default*: 1e6
``<spectral>`` Element
----------------------
The ``<spectral>`` element specifies an optional spectral radius that can be set to
accelerate the convergence of Gauss-Seidel iterations during CMFD power iteration
solve. Note this is only used in the standalone CMFD solver and does not affect
the calculation when PETSc is active.
*Default*: power
``<stol>`` Element
------------------
The ``<stol>`` element specifies the tolerance on the fission source when performing
CMFD power iteration.
*Default*: 1.e-8
``<tally_reset>`` Element
-------------------------
The ``<tally_reset>`` element contains a list of batch numbers in which CMFD tallies
should be reset.
*Default*: None
``<write_matrices>`` Element
----------------------------

View file

@ -277,7 +277,7 @@ file(GLOB_RECURSE TESTS ${CMAKE_CURRENT_SOURCE_DIR}/../tests/test_*.py)
# Check to see if PETSC is compiled for CMFD tests
if (NOT ${PETSC_ENABLED})
file(GLOB_RECURSE CMFD_TESTS ${CMAKE_CURRENT_SOURCE_DIR}/../tests/test_cmfd*.py)
file(GLOB_RECURSE CMFD_TESTS ${CMAKE_CURRENT_SOURCE_DIR}/../tests/test_cmfd_jfnk.py)
foreach(cmfd_test in ${CMFD_TESTS})
list(REMOVE_ITEM TESTS ${cmfd_test})
endforeach(cmfd_test)

View file

@ -7,11 +7,11 @@ module ace
use error, only: fatal_error, warning
use fission, only: nu_total
use global
use list_header, only: ListElemInt, ListInt
use list_header, only: ListInt
use material_header, only: Material
use output, only: write_message
use set_header, only: SetChar
use string, only: to_str
use string, only: to_str, to_lower
implicit none
@ -68,8 +68,8 @@ contains
name = mat % names(j)
if (.not. already_read % contains(name)) then
i_listing = xs_listing_dict % get_key(name)
i_nuclide = nuclide_dict % get_key(name)
i_listing = xs_listing_dict % get_key(to_lower(name))
i_nuclide = nuclide_dict % get_key(to_lower(name))
name = xs_listings(i_listing) % name
alias = xs_listings(i_listing) % alias
@ -116,8 +116,8 @@ contains
name = mat % sab_names(k)
if (.not. already_read % contains(name)) then
i_listing = xs_listing_dict % get_key(name)
i_sab = sab_dict % get_key(name)
i_listing = xs_listing_dict % get_key(to_lower(name))
i_sab = sab_dict % get_key(to_lower(name))
! Read the ACE table into the appropriate entry on the sab_tables
! array
@ -1563,16 +1563,11 @@ contains
integer :: i ! index in nuclides array
integer :: j ! index in nuclides array
type(ListElemInt), pointer :: nuc_list => null() ! pointer to nuclide list
do i = 1, n_nuclides_total
allocate(nuclides(i) % nuc_list)
nuc_list => nuclides(i) % nuc_list
do j = 1, n_nuclides_total
if (nuclides(i) % zaid == nuclides(j) % zaid) then
nuc_list % data = j
allocate(nuc_list % next)
nuc_list => nuc_list % next
call nuclides(i) % nuc_list % append(j)
end if
end do
end do

View file

@ -2,7 +2,7 @@ module ace_header
use constants, only: MAX_FILE_LEN
use endf_header, only: Tab1
use list_header, only: ListElemInt
use list_header, only: ListInt
implicit none
@ -97,7 +97,7 @@ module ace_header
real(8) :: kT ! temperature in MeV (k*T)
! Linked list of indices in nuclides array of instances of this same nuclide
type(ListElemInt), pointer :: nuc_list => null()
type(ListInt) :: nuc_list
! Energy grid information
integer :: n_grid ! # of nuclide grid points
@ -114,7 +114,7 @@ module ace_header
! Resonance scattering info
logical :: resonant = .false. ! resonant scatterer?
character(10) :: name_0K ! name of 0K nuclide, e.g. 92235.00c
character(10) :: name_0K = '' ! name of 0K nuclide, e.g. 92235.00c
character(16) :: scheme ! target velocity sampling scheme
integer :: n_grid_0K ! number of 0K energy grid points
real(8), allocatable :: energy_0K(:) ! energy grid for 0K xs
@ -416,6 +416,8 @@ module ace_header
deallocate(this % reactions)
end if
call this % nuc_list % clear()
end subroutine nuclide_clear
end module ace_header

View file

@ -10,8 +10,6 @@ module cmfd_data
private
public :: set_up_cmfd, neutron_balance
logical :: dhat_reset = .false.
contains
!==============================================================================
@ -103,6 +101,8 @@ contains
cmfd % hxyz(2,:,:,:) = m % width(2) ! set y width
cmfd % hxyz(3,:,:,:) = m % width(3) ! set z width
cmfd % keff_bal = ZERO
! Begin loop around tallies
TAL: do ital = 1, n_cmfd_tallies
@ -211,6 +211,9 @@ contains
! Bank source
cmfd % openmc_src(g,i,j,k) = cmfd % openmc_src(g,i,j,k) + &
t % results(2,score_index) % sum
cmfd % keff_bal = cmfd % keff_bal + &
t % results(2,score_index) % sum / &
dble(t % n_realizations)
end do INGROUP
@ -623,7 +626,9 @@ contains
subroutine compute_dhat()
use constants, only: CMFD_NOACCEL, ZERO
use global, only: cmfd, cmfd_coremap
use global, only: cmfd, cmfd_coremap, message, dhat_reset
use output, only: write_message
use string, only: to_str
integer :: nx ! maximum number of cells in x direction
integer :: ny ! maximum number of cells in y direction
@ -743,7 +748,9 @@ contains
cmfd%dhat(l,g,i,j,k) = dhat
! check for dhat reset
if (dhat_reset) cmfd%dhat(l,g,i,j,k) = ZERO
if (dhat_reset) then
cmfd%dhat(l,g,i,j,k) = ZERO
end if
end do LEAK
@ -755,6 +762,12 @@ contains
end do ZLOOP
! write that dhats are zero
if (dhat_reset) then
message = 'Dhats reset to zero.'
call write_message(1)
end if
end subroutine compute_dhat
!===============================================================================
@ -763,8 +776,8 @@ contains
function get_reflector_albedo(l, g, i, j, k)
use constants, only: ALBEDO_REJECT
use global, only: cmfd, cmfd_hold_weights
use constants, only: ONE
use global, only: cmfd
real(8) :: get_reflector_albedo ! reflector albedo
integer, intent(in) :: i ! iteration counter for x
@ -786,8 +799,7 @@ contains
! Calculate albedo
if ((shift_idx == 1 .and. current(2*l ) < 1.0e-10_8) .or. &
(shift_idx == -1 .and. current(2*l-1) < 1.0e-10_8)) then
albedo = ALBEDO_REJECT
cmfd_hold_weights = .true.
albedo = ONE
else
albedo = (current(2*l-1)/current(2*l))**(shift_idx)
end if
@ -797,137 +809,6 @@ contains
end function get_reflector_albedo
!===============================================================================
! FIX_NEUTRON_BALANCE is a method to adjust parameters to have perfect balance
!===============================================================================
#ifdef DEVELOPMENTAL
subroutine fix_neutron_balance()
use constants, only: ONE, ZERO, CMFD_NOACCEL
use global, only: cmfd, keff
use, intrinsic :: ISO_FORTRAN_ENV
integer :: nx ! number of mesh cells in x direction
integer :: ny ! number of mesh cells in y direction
integer :: nz ! number of mesh cells in z direction
integer :: ng ! number of energy groups
integer :: i ! iteration counter for x
integer :: j ! iteration counter for y
integer :: k ! iteration counter for z
integer :: l ! iteration counter for surface
real(8) :: leak1 ! leakage rate in group 1
real(8) :: leak2 ! leakage rate in group 2
real(8) :: flux1 ! group 1 volume int flux
real(8) :: flux2 ! group 2 volume int flux
real(8) :: sigt1 ! group 1 total xs
real(8) :: sigt2 ! group 2 total xs
real(8) :: sigs11 ! scattering transfer 1 --> 1
real(8) :: sigs21 ! scattering transfer 2 --> 1
real(8) :: sigs12 ! scattering transfer 1 --> 2
real(8) :: sigs22 ! scattering transfer 2 --> 2
real(8) :: nsigf11 ! fission transfer 1 --> 1
real(8) :: nsigf21 ! fission transfer 2 --> 1
real(8) :: nsigf12 ! fission transfer 1 --> 2
real(8) :: nsigf22 ! fission transfer 2 --> 2
real(8) :: siga1 ! group 1 abs xs
real(8) :: siga2 ! group 2 abs xs
real(8) :: sigs12_eff ! effective downscatter xs
! Extract spatial and energy indices from object
nx = cmfd % indices(1)
ny = cmfd % indices(2)
nz = cmfd % indices(3)
ng = cmfd % indices(4)
! Return if not two groups
if (ng /= 2) return
! Begin loop around space and energy groups
ZLOOP: do k = 1, nz
YLOOP: do j = 1, ny
XLOOP: do i = 1, nx
! Check for active mesh
if (allocated(cmfd%coremap)) then
if (cmfd%coremap(i,j,k) == CMFD_NOACCEL) cycle
end if
! Compute leakage in groups 1 and 2
leak1 = ZERO
leak2 = ZERO
LEAK: do l = 1, 3
leak1 = leak1 + ((cmfd % current(4*l,1,i,j,k) - &
cmfd % current(4*l-1,1,i,j,k))) - &
((cmfd % current(4*l-2,1,i,j,k) - &
cmfd % current(4*l-3,1,i,j,k)))
leak2 = leak2 + ((cmfd % current(4*l,2,i,j,k) - &
cmfd % current(4*l-1,2,i,j,k))) - &
((cmfd % current(4*l-2,2,i,j,k) - &
cmfd % current(4*l-3,2,i,j,k)))
end do LEAK
! Extract cross sections and flux from object
flux1 = cmfd % flux(1,i,j,k)
flux2 = cmfd % flux(2,i,j,k)
sigt1 = cmfd % totalxs(1,i,j,k)
sigt2 = cmfd % totalxs(2,i,j,k)
sigs11 = cmfd % scattxs(1,1,i,j,k)
sigs21 = cmfd % scattxs(2,1,i,j,k)
sigs12 = cmfd % scattxs(1,2,i,j,k)
sigs22 = cmfd % scattxs(2,2,i,j,k)
nsigf11 = cmfd % nfissxs(1,1,i,j,k)
nsigf21 = cmfd % nfissxs(2,1,i,j,k)
nsigf12 = cmfd % nfissxs(1,2,i,j,k)
nsigf22 = cmfd % nfissxs(2,2,i,j,k)
! Check for no fission into group 2
if (.not.(nsigf12 < 1e-6_8 .and. nsigf22 < 1e-6_8)) then
write(OUTPUT_UNIT,'(A,1PE11.4,1X,1PE11.4)') 'Fission in G=2', &
nsigf12,nsigf22
end if
! Compute absorption xs
siga1 = sigt1 - sigs11 - sigs12
siga2 = sigt2 - sigs22 - sigs21
! Compute effective downscatter xs
sigs12_eff = (ONE/keff*nsigf11*flux1 - leak1 - siga1*flux1 &
- ONE/keff*nsigf21/siga2*leak2 ) / ( flux1*(ONE &
- ONE/keff*nsigf21/siga2))
! Redefine flux 2
flux2 = (sigs12_eff*flux1 - leak2)/siga2
cmfd % flux(2,i,j,k) = flux2
! Recompute total cross sections (use effective and no upscattering)
sigt1 = siga1 + sigs11 + sigs12_eff
sigt2 = siga2 + sigs22
! Record total xs
cmfd % totalxs(1,i,j,k) = sigt1
cmfd % totalxs(2,i,j,k) = sigt2
! Record effective downscatter xs
cmfd % scattxs(1,2,i,j,k) = sigs12_eff
! Zero out upscatter cross section
cmfd % scattxs(2,1,i,j,k) = ZERO
end do XLOOP
end do YLOOP
end do ZLOOP
end subroutine fix_neutron_balance
#endif
!===============================================================================
! COMPUTE_EFFECTIVE_DOWNSCATTER changes downscatter rate for zero upscatter
!===============================================================================

View file

@ -22,6 +22,7 @@ contains
use cmfd_data, only: set_up_cmfd
use cmfd_power_solver, only: cmfd_power_execute
use cmfd_jfnk_solver, only: cmfd_jfnk_execute
use cmfd_solver, only: cmfd_solver_execute
use error, only: warning, fatal_error
! CMFD single processor on master
@ -37,6 +38,7 @@ contains
call process_cmfd_options()
! Call solver
#ifdef PETSC
if (trim(cmfd_solver_type) == 'power') then
call cmfd_power_execute()
elseif (trim(cmfd_solver_type) == 'jfnk') then
@ -45,6 +47,9 @@ contains
message = 'solver type became invalid after input processing'
call fatal_error()
end if
#else
call cmfd_solver_execute()
#endif
! Save k-effective
cmfd % k_cmfd(current_batch) = cmfd % keff
@ -64,7 +69,7 @@ contains
call calc_fission_source()
! calculate weight factors
if (cmfd_feedback) call cmfd_reweight(.true.)
call cmfd_reweight(.true.)
! stop cmfd timer
if (master) call time_cmfd % stop()
@ -77,36 +82,23 @@ contains
subroutine cmfd_init_batch()
use global, only: cmfd_begin, cmfd_on, cmfd_tally_on, &
cmfd_inact_flush, cmfd_act_flush, cmfd_run, &
current_batch, cmfd_hold_weights
use global, only: cmfd_begin, cmfd_on, &
cmfd_reset, cmfd_run, &
current_batch
! Check to activate CMFD diffusion and possible feedback
! this guarantees that when cmfd begins at least one batch of tallies are
! accumulated
if (cmfd_run .and. cmfd_begin == current_batch) then
cmfd_on = .true.
cmfd_tally_on = .true.
end if
! If this is a restart run and we are just replaying batches leave
if (restart_run .and. current_batch <= restart_batch) return
! Check to flush cmfd tallies for active batches, no more inactive flush
if (cmfd_run .and. cmfd_act_flush == current_batch) then
! Check to reset tallies
if (cmfd_run .and. cmfd_reset % contains(current_batch)) then
call cmfd_tally_reset()
cmfd_tally_on = .true.
cmfd_inact_flush(2) = -1
end if
! Check to flush cmfd tallies during inactive batches (>= on number of
! flushes important as the code will flush on the first batch which we
! dont want to count)
if (cmfd_run .and. mod(current_batch,cmfd_inact_flush(1)) &
== 0 .and. cmfd_inact_flush(2) > 0 .and. cmfd_begin < current_batch) then
cmfd_hold_weights = .true.
call cmfd_tally_reset()
cmfd_inact_flush(2) = cmfd_inact_flush(2) - 1
end if
end subroutine cmfd_init_batch
@ -139,6 +131,7 @@ contains
use constants, only: CMFD_NOACCEL, ZERO, TWO
use global, only: cmfd, cmfd_coremap, master, entropy_on, current_batch
use string, only: to_str
#ifdef MPI
use global, only: mpi_err
@ -267,6 +260,7 @@ contains
use mesh_header, only: StructuredMesh
use mesh, only: count_bank_sites, get_mesh_indices
use search, only: binary_search
use string, only: to_str
#ifdef MPI
use global, only: mpi_err
@ -287,7 +281,6 @@ contains
logical :: in_mesh ! source site is inside mesh
type(StructuredMesh), pointer :: m ! point to mesh
real(8), allocatable :: egrid(:) ! energy grid
! Associate pointer
m => meshes(n_user_meshes + 1)
@ -308,19 +301,16 @@ contains
cmfd % weightfactors = ONE
end if
! Allocate energy grid and reverse cmfd energy grid
if (.not. allocated(egrid)) allocate(egrid(ng + 1))
egrid = (/(cmfd % egrid(ng - i + 2), i = 1, ng + 1)/)
! Compute new weight factors
if (new_weights) then
! Zero out weights
cmfd%weightfactors = ZERO
! Set weight factors to a default 1.0
cmfd%weightfactors = ONE
! Count bank sites in mesh
call count_bank_sites(m, source_bank, cmfd%sourcecounts, egrid, &
! Count bank sites in mesh and reverse due to egrid structure
call count_bank_sites(m, source_bank, cmfd%sourcecounts, cmfd % egrid, &
sites_outside=outside, size_bank=work)
cmfd % sourcecounts = cmfd%sourcecounts(ng:1:-1,:,:,:)
! Check for sites outside of the mesh
if (master .and. outside) then
@ -336,12 +326,14 @@ contains
end where
end if
if (.not. cmfd_feedback) return
! Broadcast weight factors to all procs
#ifdef MPI
call MPI_BCAST(cmfd % weightfactors, ng*nx*ny*nz, MPI_REAL8, 0, &
MPI_COMM_WORLD, mpi_err)
#endif
end if
end if
! begin loop over source bank
do i = 1, int(work,4)
@ -378,9 +370,6 @@ contains
end do
! Deallocate all
if (allocated(egrid)) deallocate(egrid)
end subroutine cmfd_reweight
!===============================================================================

View file

@ -83,6 +83,9 @@ module cmfd_header
! List of CMFD k
real(8), allocatable :: k_cmfd(:)
! Balance keff
real(8) :: keff_bal
end type cmfd_type
contains

View file

@ -62,16 +62,20 @@ contains
use error, only: fatal_error, warning
use global
use output, only: write_message
use string, only: lower_case
use string, only: to_lower
use xml_interface
use, intrinsic :: ISO_FORTRAN_ENV
integer :: i
integer :: ng
integer :: n_params
integer, allocatable :: iarray(:)
integer, allocatable :: int_array(:)
logical :: file_exists ! does cmfd.xml exist?
logical :: found
character(MAX_LINE_LEN) :: filename
character(MAX_LINE_LEN) :: temp_str
real(8) :: gs_tol(2)
type(Node), pointer :: doc => null()
type(Node), pointer :: node_mesh => null()
@ -151,91 +155,121 @@ contains
! Set feedback logical
if (check_for_node(doc, "feedback")) then
call get_node_value(doc, "feedback", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
cmfd_feedback = .true.
cmfd_feedback = .true.
end if
! Set downscatter logical
if (check_for_node(doc, "downscatter")) then
call get_node_value(doc, "downscatter", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
cmfd_downscatter = .true.
cmfd_downscatter = .true.
end if
! Reset dhat parameters
if (check_for_node(doc, "dhat_reset")) then
call get_node_value(doc, "dhat_reset", temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
dhat_reset = .true.
end if
! Set the solver type
if (check_for_node(doc, "solver")) &
call get_node_value(doc, "solver", cmfd_solver_type)
call get_node_value(doc, "solver", cmfd_solver_type)
! Set monitoring
if (check_for_node(doc, "snes_monitor")) then
call get_node_value(doc, "snes_monitor", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
cmfd_snes_monitor = .true.
cmfd_snes_monitor = .true.
end if
if (check_for_node(doc, "ksp_monitor")) then
call get_node_value(doc, "ksp_monitor", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
cmfd_ksp_monitor = .true.
cmfd_ksp_monitor = .true.
end if
if (check_for_node(doc, "power_monitor")) then
call get_node_value(doc, "power_monitor", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
cmfd_power_monitor = .true.
cmfd_power_monitor = .true.
end if
! Output logicals
if (check_for_node(doc, "write_matrices")) then
call get_node_value(doc, "write_matices", temp_str)
call lower_case(temp_str)
call get_node_value(doc, "write_matrices", temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
cmfd_write_matrices = .true.
cmfd_write_matrices = .true.
end if
! Run an adjoint calc
if (check_for_node(doc, "run_adjoint")) then
call get_node_value(doc, "run_adjoint", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
#ifndef PETSC
message = 'Must use PETSc when running adjoint option.'
call fatal_error()
#endif
cmfd_run_adjoint = .true.
end if
! Batch to begin cmfd
if (check_for_node(doc, "begin")) &
call get_node_value(doc, "begin", cmfd_begin)
call get_node_value(doc, "begin", cmfd_begin)
! Tally during inactive batches
if (check_for_node(doc, "inactive")) then
call get_node_value(doc, "inactive", temp_str)
call lower_case(temp_str)
if (trim(temp_str) == 'false' .or. trim(temp_str) == '0') &
cmfd_tally_on = .false.
! Check for cmfd tally resets
if (check_for_node(doc, "tally_reset")) then
n_cmfd_resets = get_arraysize_integer(doc, "tally_reset")
else
n_cmfd_resets = 0
end if
if (n_cmfd_resets > 0) then
allocate(int_array(n_cmfd_resets))
call get_node_array(doc, "tally_reset", int_array)
do i = 1, n_cmfd_resets
call cmfd_reset % add(int_array(i))
end do
deallocate(int_array)
end if
! Inactive batch flush window
if (check_for_node(doc, "inactive_flush")) &
call get_node_value(doc, "inactive_flush", cmfd_inact_flush(1))
if (check_for_node(doc, "num_flushes")) &
call get_node_value(doc, "num_flushes", cmfd_inact_flush(2))
! Last flush before active batches
if (check_for_node(doc, "active_flush")) &
call get_node_value(doc, "active_flush", cmfd_act_flush)
! Get display
if (check_for_node(doc, "display")) &
call get_node_value(doc, "display", cmfd_display)
call get_node_value(doc, "display", cmfd_display)
if (trim(cmfd_display) == 'dominance' .and. &
trim(cmfd_solver_type) /= 'power') then
trim(cmfd_solver_type) /= 'power') then
message = 'Dominance Ratio only aviable with power iteration solver'
call warning()
cmfd_display = ''
end if
! Read in spectral radius estimate and tolerances
if (check_for_node(doc, "spectral")) &
call get_node_value(doc, "spectral", cmfd_spectral)
if (check_for_node(doc, "shift")) &
call get_node_value(doc, "shift", cmfd_shift)
if (check_for_node(doc, "ktol")) &
call get_node_value(doc, "ktol", cmfd_ktol)
if (check_for_node(doc, "stol")) &
call get_node_value(doc, "stol", cmfd_stol)
if (check_for_node(doc, "gauss_seidel_tolerance")) then
n_params = get_arraysize_double(doc, "gauss_seidel_tolerance")
if (n_params /= 2) then
message = 'Gauss Seidel tolerance is not 2 parameters &
&(absolute, relative).'
call fatal_error()
end if
call get_node_array(doc, "gauss_seidel_tolerance", gs_tol)
cmfd_atoli = gs_tol(1)
cmfd_rtoli = gs_tol(2)
end if
! Create tally objects
call create_cmfd_tally(doc)
@ -405,9 +439,9 @@ contains
! Set reset property
if (check_for_node(doc, "reset")) then
call get_node_value(doc, "reset", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
t % reset = .true.
t % reset = .true.
end if
! Set up mesh filter

View file

@ -242,7 +242,7 @@ contains
subroutine convergence(iter)
use constants, only: ONE, TINY_BIT
use constants, only: ONE, ZERO
use global, only: cmfd_power_monitor, master
use, intrinsic :: ISO_FORTRAN_ENV
@ -255,7 +255,7 @@ contains
kerr = abs(k_o - k_n)/k_n
! Calculate max error in source
where (s_n % val > TINY_BIT)
where (s_n % val > ZERO)
serr_v % val = ((s_n % val - s_o % val)/s_n % val)**2
end where
serr = sqrt(ONE/dble(s_n % n) * sum(serr_v % val))

819
src/cmfd_solver.F90 Normal file
View file

@ -0,0 +1,819 @@
module cmfd_solver
! This module contains routines to execute the power iteration solver
use cmfd_loss_operator, only: init_loss_matrix, build_loss_matrix
use cmfd_prod_operator, only: init_prod_matrix, build_prod_matrix
use matrix_header, only: Matrix
use vector_header, only: Vector
implicit none
private
public :: cmfd_solver_execute
real(8) :: k_n ! new k-eigenvalue
real(8) :: k_o ! old k-eigenvalue
real(8) :: k_s ! shift of eigenvalue
real(8) :: k_ln ! new shifted eigenvalue
real(8) :: k_lo ! old shifted eigenvalue
real(8) :: norm_n ! current norm of source vector
real(8) :: norm_o ! old norm of source vector
real(8) :: kerr ! error in keff
real(8) :: serr ! error in source
real(8) :: ktol ! tolerance on keff
real(8) :: stol ! tolerance on source
logical :: adjoint_calc ! run an adjoint calculation
type(Matrix) :: loss ! cmfd loss matrix
type(Matrix) :: prod ! cmfd prod matrix
type(Vector) :: phi_n ! new flux vector
type(Vector) :: phi_o ! old flux vector
type(Vector) :: s_n ! new source vector
type(Vector) :: s_o ! old flux vector
type(Vector) :: serr_v ! error in source
! CMFD linear solver interface
procedure(linsolve), pointer :: cmfd_linsolver => null()
abstract interface
subroutine linsolve(A, b, x, tol, i)
import :: Matrix
import :: Vector
type(Matrix), intent(inout) :: A
type(Vector), intent(inout) :: b
type(Vector), intent(inout) :: x
real(8), intent(in) :: tol
integer, intent(out) :: i
end subroutine linsolve
end interface
contains
!===============================================================================
! CMFD_SOLVER_EXECUTE sets up and runs power iteration solver for CMFD
!===============================================================================
subroutine cmfd_solver_execute(adjoint)
use global, only: cmfd_adjoint_type, time_cmfdbuild, time_cmfdsolve
logical, optional, intent(in) :: adjoint ! adjoint calc
logical :: physical_adjoint = .false.
! Check for adjoint execution
adjoint_calc = .false.
if (present(adjoint)) adjoint_calc = adjoint
! Check for physical adjoint
if (adjoint_calc .and. trim(cmfd_adjoint_type) == 'physical') &
physical_adjoint = .true.
! Start timer for build
call time_cmfdbuild % start()
! Initialize matrices and vectors
call init_data(physical_adjoint)
! Check for mathematical adjoint calculation
if (adjoint_calc .and. trim(cmfd_adjoint_type) == 'math') &
call compute_adjoint()
! Stop timer for build
call time_cmfdbuild % stop()
! Begin power iteration
call time_cmfdsolve % start()
call execute_power_iter()
call time_cmfdsolve % stop()
! Extract results
call extract_results()
! Deallocate data
call finalize()
end subroutine cmfd_solver_execute
!===============================================================================
! INIT_DATA allocates matrices and vectors for CMFD solution
!===============================================================================
subroutine init_data(adjoint)
use constants, only: ONE, ZERO
use error, only: fatal_error
use global, only: cmfd, cmfd_shift, keff, cmfd_ktol, cmfd_stol, &
cmfd_write_matrices
logical, intent(in) :: adjoint
integer :: n ! problem size
real(8) :: guess ! initial guess
real(8) :: dw ! eigenvalue shift
! Set up matrices
call init_loss_matrix(loss)
call init_prod_matrix(prod)
! Get problem size
n = loss % n
! Set up flux vectors
call phi_n % create(n)
call phi_o % create(n)
! Set up source vectors
call s_n % create(n)
call s_o % create(n)
call serr_v % create(n)
! Set initial guess
guess = ONE
phi_n % val = guess
phi_o % val = guess
k_n = keff
k_o = k_n
dw = cmfd_shift
k_s = k_o + dw
k_ln = ONE/(ONE/k_n - ONE/k_s)
k_lo = k_ln
! Fill in loss matrix
call build_loss_matrix(loss, adjoint=adjoint)
! Fill in production matrix
call build_prod_matrix(prod, adjoint=adjoint)
! Finalize setup of CSR matrices
call loss % assemble()
call prod % assemble()
if (cmfd_write_matrices) then
call loss % write('loss.dat')
call prod % write('prod.dat')
end if
! Set norms to 0
norm_n = ZERO
norm_o = ZERO
! Set up solver
select case(cmfd % indices(4))
case(1)
cmfd_linsolver => cmfd_linsolver_1g
case(2)
cmfd_linsolver => cmfd_linsolver_2g
case default
cmfd_linsolver => cmfd_linsolver_ng
end select
! Set tolerances
ktol = cmfd_ktol
stol = cmfd_stol
end subroutine init_data
!===============================================================================
! COMPUTE_ADJOINT computes a mathematical adjoint of CMFD problem
!===============================================================================
subroutine compute_adjoint()
use error, only: fatal_error
#ifdef PETSC
use global, only: cmfd_write_matrices
#else
use global, only: message
#endif
#ifdef PETSC
! Transpose matrices
call loss % transpose()
call prod % transpose()
! Write out matrix in binary file (debugging)
if (cmfd_write_matrices) then
call loss % write_petsc_binary('adj_lossmat.bin')
call prod % write_petsc_binary('adj_prodmat.bin')
end if
#else
message = 'Adjoint calculations only allowed with PETSc'
call fatal_error()
#endif
end subroutine compute_adjoint
!===============================================================================
! EXECUTE_POWER_ITER is the main power iteration routine
! for the cmfd calculation
!===============================================================================
subroutine execute_power_iter()
use constants, only: ONE
use error, only: fatal_error
use global, only: cmfd_atoli, cmfd_rtoli, message
integer :: i ! iteration counter
integer :: innerits ! # of inner iterations
integer :: totalits ! total number of inners
logical :: iconv ! did the problem converged
real(8) :: atoli ! absolute minimum tolerance
real(8) :: rtoli ! relative tolerance based on source conv
real(8) :: toli ! the current tolerance of inners
! Reset convergence flag
iconv = .false.
! Set up tolerances
atoli = cmfd_atoli
rtoli = cmfd_rtoli
toli = rtoli*100._8
! Perform shift
call wielandt_shift()
totalits = 0
! Begin power iteration
do i = 1, 10000
! Check if reached iteration 10000
if (i == 10000) then
message = 'Reached maximum iterations in CMFD power iteration solver.'
call fatal_error()
end if
! Compute source vector
call prod % vector_multiply(phi_o, s_o)
! Normalize source vector
s_o % val = s_o % val / k_lo
! Compute new flux vector
call cmfd_linsolver(loss, s_o, phi_n, toli, innerits)
! Compute new source vector
call prod % vector_multiply(phi_n, s_n)
! Compute new shifted eigenvalue
k_ln = sum(s_n % val) / sum(s_o % val)
! Compute new eigenvalue
k_n = ONE/(ONE/k_ln + ONE/k_s)
! Renormalize the old source
s_o % val = s_o % val * k_lo
! Check convergence
call convergence(i, innerits, iconv)
totalits = totalits + innerits
! Break loop if converged
if (iconv) exit
! Record old values
phi_o % val = phi_n % val
k_o = k_n
k_lo = k_ln
norm_o = norm_n
! Get new tolerance for inners
toli = max(atoli, rtoli*serr)
end do
end subroutine execute_power_iter
!===============================================================================
! WIELANDT SHIFT
!===============================================================================
subroutine wielandt_shift()
use constants, only: ONE
integer :: irow ! row counter
integer :: icol ! col counter
integer :: jcol ! current col index in prod matrix
! perform subtraction
jcol = 1
ROWS: do irow = 1, loss % n
COLS: do icol = loss % get_row(irow), loss % get_row(irow + 1) - 1
if (loss % get_col(icol) == prod % get_col(jcol) .and. &
jcol < prod % get_row(irow + 1)) then
loss % val(icol) = loss % val(icol) - ONE/k_s*prod % val(jcol)
jcol = jcol + 1
end if
end do COLS
end do ROWS
end subroutine wielandt_shift
!===============================================================================
! CONVERGENCE checks the convergence of the CMFD problem
!===============================================================================
subroutine convergence(iter, innerits, iconv)
use constants, only: ONE, ZERO
use global, only: cmfd_power_monitor, master
use, intrinsic :: ISO_FORTRAN_ENV
integer, intent(in) :: iter ! outer iteration number
integer, intent(in) :: innerits ! inner iteration nubmer
logical, intent(out) :: iconv ! convergence logical
! Reset convergence flag
iconv = .false.
! Calculate error in keff
kerr = abs(k_o - k_n)/k_n
! Calculate max error in source
where (s_n % val > ZERO)
serr_v % val = ((s_n % val - s_o % val)/s_n % val)**2
end where
serr = sqrt(ONE/dble(s_n % n) * sum(serr_v % val))
! Check for convergence
if(kerr < ktol .and. serr < stol) iconv = .true.
! Save the L2 norm of the source
norm_n = serr
! Print out to user
if (cmfd_power_monitor .and. master) then
write(OUTPUT_UNIT,FMT='(I0,":",T10,"k-eff: ",F0.8,T30,"k-error: ", &
&1PE12.5,T55, "src-error: ",1PE12.5,T80,I0)') iter, k_n, kerr, &
serr, innerits
end if
end subroutine convergence
!===============================================================================
! CMFD_LINSOLVER_1g solves the CMFD linear system
!===============================================================================
subroutine cmfd_linsolver_1g(A, b, x, tol, its)
use constants, only: ONE, ZERO
use error, only: fatal_error
use global, only: cmfd, cmfd_spectral, message
type(Matrix), intent(inout) :: A ! coefficient matrix
type(Vector), intent(inout) :: b ! right hand side vector
type(Vector), intent(inout) :: x ! unknown vector
real(8), intent(in) :: tol ! tolerance on final error
integer, intent(out) :: its ! number of inner iterations
integer :: g ! group index
integer :: i ! loop counter for x
integer :: j ! loop counter for y
integer :: k ! loop counter for z
integer :: n ! total size of vector
integer :: nx ! maximum dimension in x direction
integer :: ny ! maximum dimension in y direction
integer :: nz ! maximum dimension in z direction
integer :: ng ! number of energy groups
integer :: igs ! Gauss-Seidel iteration counter
integer :: irb ! Red/Black iteration switch
integer :: irow ! row iteration
integer :: icol ! iteration counter over columns
integer :: didx ! index for diagonal component
logical :: found ! did we find col
real(8) :: tmp1 ! temporary sum g1
real(8) :: x1 ! new g1 value of x
real(8) :: err ! error in convergence of solution
real(8) :: w ! overrelaxation parameter
type(Vector) :: tmpx ! temporary solution vector
! Set overrelaxation parameter
w = ONE
! Dimensions
ng = 1
nx = cmfd % indices(1)
ny = cmfd % indices(2)
nz = cmfd % indices(3)
n = A % n
! Perform Gauss Seidel iterations
GS: do igs = 1, 10000
! Check for max iterations met
if (igs == 10000) then
message = 'Maximum Gauss-Seidel iterations encountered.'
call fatal_error()
endif
! Copy over x vector
call tmpx % copy(x)
! Perform red/black gs iterations
REDBLACK: do irb = 0,1
! Begin loop around matrix rows
ROWS: do irow = 1, n
! Get spatial location
call matrix_to_indices(irow, g, i, j, k, ng, nx, ny, nz)
! Filter out black cells (even)
if (mod(i+j+k,2) == irb) cycle
! Get the index of the diagonals for both rows
call A % search_indices(irow, irow, didx, found)
! Perform temporary sums, first do left of diag block, then right of diag block
tmp1 = ZERO
do icol = A % get_row(irow), didx - 1
tmp1 = tmp1 + A % val(icol)*x % val(A % get_col(icol))
end do
do icol = didx + 1, A % get_row(irow + 1) - 1
tmp1 = tmp1 + A % val(icol)*x % val(A % get_col(icol))
end do
! Solve for new x
x1 = (b % val(irow) - tmp1)/A % val(didx)
! Perform overrelaxation
x % val(irow) = (ONE - w)*x % val(irow) + w*x1
end do ROWS
end do REDBLACK
! Check convergence
err = sqrt(sum(((tmpx % val - x % val)/tmpx % val)**2)/n)
its = igs
if (err < tol) exit
! Calculation new overrelaxation parameter
w = ONE/(ONE - 0.25_8*cmfd_spectral*w)
end do GS
call tmpx % destroy()
end subroutine cmfd_linsolver_1g
!===============================================================================
! CMFD_LINSOLVER_2G solves the CMFD linear system
!===============================================================================
subroutine cmfd_linsolver_2g(A, b, x, tol, its)
use constants, only: ONE, ZERO
use error, only: fatal_error
use global, only: cmfd, cmfd_spectral, message
type(Matrix), intent(inout) :: A ! coefficient matrix
type(Vector), intent(inout) :: b ! right hand side vector
type(Vector), intent(inout) :: x ! unknown vector
real(8), intent(in) :: tol ! tolerance on final error
integer, intent(out) :: its ! number of inner iterations
integer :: g ! group index
integer :: i ! loop counter for x
integer :: j ! loop counter for y
integer :: k ! loop counter for z
integer :: n ! total size of vector
integer :: nx ! maximum dimension in x direction
integer :: ny ! maximum dimension in y direction
integer :: nz ! maximum dimension in z direction
integer :: ng ! number of energy groups
integer :: d1idx ! index of row "1" diagonal
integer :: d2idx ! index of row "2" diagonal
integer :: igs ! Gauss-Seidel iteration counter
integer :: irb ! Red/Black iteration switch
integer :: irow ! row iteration
integer :: icol ! iteration counter over columns
logical :: found ! did we find col
real(8) :: m11 ! block diagonal component 1,1
real(8) :: m12 ! block diagonal component 1,2
real(8) :: m21 ! block diagonal component 2,1
real(8) :: m22 ! block diagonal component 2,2
real(8) :: dm ! determinant of block diagonal
real(8) :: d11 ! inverse component 1,1
real(8) :: d12 ! inverse component 1,2
real(8) :: d21 ! inverse component 2,1
real(8) :: d22 ! inverse component 2,2
real(8) :: tmp1 ! temporary sum g1
real(8) :: tmp2 ! temporary sum g2
real(8) :: x1 ! new g1 value of x
real(8) :: x2 ! new g2 value of x
real(8) :: err ! error in convergence of solution
real(8) :: w ! overrelaxation parameter
type(Vector) :: tmpx ! temporary solution vector
! Set tolerance and overrelaxation parameter
w = ONE
! Dimensions
ng = 2
nx = cmfd % indices(1)
ny = cmfd % indices(2)
nz = cmfd % indices(3)
n = A % n
! Perform Gauss Seidel iterations
GS: do igs = 1, 10000
! Check for max iterations met
if (igs == 10000) then
message = 'Maximum Gauss-Seidel iterations encountered.'
call fatal_error()
endif
! Copy over x vector
call tmpx % copy(x)
! Perform red/black gs iterations
REDBLACK: do irb = 0,1
! Begin loop around matrix rows
ROWS: do irow = 1, n, 2
! Get spatial location
call matrix_to_indices(irow, g, i, j, k, ng, nx, ny, nz)
! Filter out black cells (even)
if (mod(i+j+k,2) == irb) cycle
! Get the index of the diagonals for both rows
call A % search_indices(irow, irow, d1idx, found)
call A % search_indices(irow + 1, irow + 1, d2idx, found)
! Get block diagonal
m11 = A % val(d1idx) ! group 1 diagonal
m12 = A % val(d1idx + 1) ! group 1 right of diagonal (sorted by col)
m21 = A % val(d2idx - 1) ! group 2 left of diagonal (sorted by col)
m22 = A % val(d2idx) ! group 2 diagonal
! Analytically invert the diagonal
dm = m11*m22 - m12*m21
d11 = m22/dm
d12 = -m12/dm
d21 = -m21/dm
d22 = m11/dm
! Perform temporary sums, first do left of diag block, then right of diag block
tmp1 = ZERO
tmp2 = ZERO
do icol = A % get_row(irow), d1idx - 1
tmp1 = tmp1 + A % val(icol)*x % val(A % get_col(icol))
end do
do icol = A % get_row(irow + 1), d2idx - 2
tmp2 = tmp2 + A % val(icol)*x % val(A % get_col(icol))
end do
do icol = d1idx + 2, A % get_row(irow + 1) - 1
tmp1 = tmp1 + A % val(icol)*x % val(A % get_col(icol))
end do
do icol = d2idx + 1, A % get_row(irow + 2) - 1
tmp2 = tmp2 + A % val(icol)*x % val(A % get_col(icol))
end do
! Adjust with RHS vector
tmp1 = b % val(irow) - tmp1
tmp2 = b % val(irow + 1) - tmp2
! Solve for new x
x1 = d11*tmp1 + d12*tmp2
x2 = d21*tmp1 + d22*tmp2
! Perform overrelaxation
x % val(irow) = (ONE - w)*x % val(irow) + w*x1
x % val(irow + 1) = (ONE - w)*x % val(irow + 1) + w*x2
end do ROWS
end do REDBLACK
! Check convergence
err = sqrt(sum(((tmpx % val - x % val)/tmpx % val)**2)/n)
its = igs
if (err < tol) exit
! Calculation new overrelaxation parameter
w = ONE/(ONE - 0.25_8*cmfd_spectral*w)
end do GS
call tmpx % destroy()
end subroutine cmfd_linsolver_2g
!===============================================================================
! CMFD_LINSOLVER_ng solves the CMFD linear system
!===============================================================================
subroutine cmfd_linsolver_ng(A, b, x, tol, its)
use constants, only: ONE, ZERO
use error, only: fatal_error
use global, only: cmfd, cmfd_spectral, message
type(Matrix), intent(inout) :: A ! coefficient matrix
type(Vector), intent(inout) :: b ! right hand side vector
type(Vector), intent(inout) :: x ! unknown vector
real(8), intent(in) :: tol ! tolerance on final error
integer, intent(out) :: its ! number of inner iterations
integer :: g ! group index
integer :: i ! loop counter for x
integer :: j ! loop counter for y
integer :: k ! loop counter for z
integer :: n ! total size of vector
integer :: nx ! maximum dimension in x direction
integer :: ny ! maximum dimension in y direction
integer :: nz ! maximum dimension in z direction
integer :: ng ! number of energy groups
integer :: igs ! Gauss-Seidel iteration counter
integer :: irow ! row iteration
integer :: icol ! iteration counter over columns
integer :: didx ! index for diagonal component
logical :: found ! did we find col
real(8) :: tmp1 ! temporary sum g1
real(8) :: x1 ! new g1 value of x
real(8) :: err ! error in convergence of solution
real(8) :: w ! overrelaxation parameter
type(Vector) :: tmpx ! temporary solution vector
! Set overrelaxation parameter
w = ONE
! Dimensions
ng = 1
nx = cmfd % indices(1)
ny = cmfd % indices(2)
nz = cmfd % indices(3)
n = A % n
! Perform Gauss Seidel iterations
GS: do igs = 1, 10000
! Check for max iterations met
if (igs == 10000) then
message = 'Maximum Gauss-Seidel iterations encountered.'
call fatal_error()
endif
! Copy over x vector
call tmpx % copy(x)
! Begin loop around matrix rows
ROWS: do irow = 1, n
! Get spatial location
call matrix_to_indices(irow, g, i, j, k, ng, nx, ny, nz)
! Get the index of the diagonals for both rows
call A % search_indices(irow, irow, didx, found)
! Perform temporary sums, first do left of diag block, then right of diag block
tmp1 = ZERO
do icol = A % get_row(irow), didx - 1
tmp1 = tmp1 + A % val(icol)*x % val(A % get_col(icol))
end do
do icol = didx + 1, A % get_row(irow + 1) - 1
tmp1 = tmp1 + A % val(icol)*x % val(A % get_col(icol))
end do
! Solve for new x
x1 = (b % val(irow) - tmp1)/A % val(didx)
! Perform overrelaxation
x % val(irow) = (ONE - w)*x % val(irow) + w*x1
end do ROWS
! Check convergence
err = sqrt(sum(((tmpx % val - x % val)/tmpx % val)**2)/n)
its = igs
if (err < tol) exit
! Calculation new overrelaxation parameter
w = ONE/(ONE - 0.25_8*cmfd_spectral*w)
end do GS
call tmpx % destroy()
end subroutine cmfd_linsolver_ng
!===============================================================================
! EXTRACT_RESULTS takes results and puts them in CMFD global data object
!===============================================================================
subroutine extract_results()
use global, only: cmfd, cmfd_write_matrices, current_batch
character(len=25) :: filename ! name of file to write data
integer :: n ! problem size
! Get problem size
n = loss % n
! Allocate in cmfd object if not already allocated
if (adjoint_calc) then
if (.not. allocated(cmfd%adj_phi)) allocate(cmfd%adj_phi(n))
else
if (.not. allocated(cmfd%phi)) allocate(cmfd%phi(n))
end if
! Save values
if (adjoint_calc) then
cmfd % adj_phi = phi_n % val
else
cmfd % phi = phi_n % val
end if
! Save eigenvalue
if(adjoint_calc) then
cmfd%adj_keff = k_n
else
cmfd%keff = k_n
end if
! Normalize phi to 1
if (adjoint_calc) then
cmfd%adj_phi = cmfd%adj_phi/sqrt(sum(cmfd%adj_phi*cmfd%adj_phi))
else
cmfd%phi = cmfd%phi/sqrt(sum(cmfd%phi*cmfd%phi))
end if
! Save dominance ratio
cmfd % dom(current_batch) = norm_n/norm_o
! Write out results
if (cmfd_write_matrices) then
if (adjoint_calc) then
filename = 'adj_fluxvec.bin'
else
filename = 'fluxvec.bin'
end if
#ifdef PETSC
call phi_n % write_petsc_binary(filename)
#endif
end if
end subroutine extract_results
!===============================================================================
! MATRIX_TO_INDICES converts a matrix index to spatial and group indicies
!===============================================================================
subroutine matrix_to_indices(irow, g, i, j, k, ng, nx, ny, nz)
use global, only: cmfd, cmfd_coremap
integer, intent(out) :: i ! iteration counter for x
integer, intent(out) :: j ! iteration counter for y
integer, intent(out) :: k ! iteration counter for z
integer, intent(out) :: g ! iteration counter for groups
integer, intent(in) :: irow ! iteration counter over row (0 reference)
integer, intent(in) :: nx ! maximum number of x cells
integer, intent(in) :: ny ! maximum number of y cells
integer, intent(in) :: nz ! maximum number of z cells
integer, intent(in) :: ng ! maximum number of groups
! Check for core map
if (cmfd_coremap) then
! Get indices from indexmap
g = mod(irow-1, ng) + 1
i = cmfd % indexmap((irow-1)/ng+1,1)
j = cmfd % indexmap((irow-1)/ng+1,2)
k = cmfd % indexmap((irow-1)/ng+1,3)
else
! Compute indices
g = mod(irow-1, ng) + 1
i = mod(irow-1, ng*nx)/ng + 1
j = mod(irow-1, ng*nx*ny)/(ng*nx)+ 1
k = mod(irow-1, ng*nx*ny*nz)/(ng*nx*ny) + 1
end if
end subroutine matrix_to_indices
!===============================================================================
! FINALIZE frees all memory associated with power iteration
!===============================================================================
subroutine finalize()
! Destroy all objects
call loss % destroy()
call prod % destroy()
call phi_n % destroy()
call phi_o % destroy()
call s_n % destroy()
call s_o % destroy()
call serr_v % destroy
end subroutine finalize
end module cmfd_solver

View file

@ -393,9 +393,6 @@ module constants
! constant to represent a zero flux "albedo"
real(8), parameter :: ZERO_FLUX = 999.0_8
! constant to represent albedo rejection
real(8), parameter :: ALBEDO_REJECT = 999.0_8
! constant for writing out no residual
real(8), parameter :: CMFD_NORES = 99999.0_8

View file

@ -113,7 +113,7 @@ contains
atom_density * micro_xs(i_nuclide) % elastic
! Add contributions to material macroscopic absorption cross section
material_xs % absorption = material_xs % absorption + &
material_xs % absorption = material_xs % absorption + &
atom_density * micro_xs(i_nuclide) % absorption
! Add contributions to material macroscopic fission cross section
@ -123,7 +123,7 @@ contains
! Add contributions to material macroscopic nu-fission cross section
material_xs % nu_fission = material_xs % nu_fission + &
atom_density * micro_xs(i_nuclide) % nu_fission
! Add contributions to material macroscopic energy release from fission
material_xs % kappa_fission = material_xs % kappa_fission + &
atom_density * micro_xs(i_nuclide) % kappa_fission
@ -214,7 +214,7 @@ contains
! Calculate microscopic nuclide nu-fission cross section
micro_xs(i_nuclide) % nu_fission = (ONE - f) * nuc % nu_fission( &
i_grid) + f * nuc % nu_fission(i_grid+1)
! Calculate microscopic nuclide kappa-fission cross section
! The ENDF standard (ENDF-102) states that MT 18 stores
! the fission energy as the Q_value (fission(1))
@ -276,7 +276,7 @@ contains
f = ZERO
else
i_grid = binary_search(sab % inelastic_e_in, sab % n_inelastic_e_in, E)
f = (E - sab%inelastic_e_in(i_grid)) / &
f = (E - sab%inelastic_e_in(i_grid)) / &
(sab%inelastic_e_in(i_grid+1) - sab%inelastic_e_in(i_grid))
end if
@ -342,21 +342,22 @@ contains
integer, intent(in) :: i_nuclide ! index into nuclides array
real(8), intent(in) :: E ! energy
integer :: i_energy ! index for energy
integer :: i_low ! band index at lower bounding energy
integer :: i_up ! band index at upper bounding energy
real(8) :: f ! interpolation factor
real(8) :: r ! pseudo-random number
real(8) :: elastic ! elastic cross section
real(8) :: capture ! (n,gamma) cross section
real(8) :: fission ! fission cross section
real(8) :: inelastic ! inelastic cross section
logical :: same_nuc ! do we know the xs for this nuclide at this energy?
integer :: i ! loop index
integer :: i_energy ! index for energy
integer :: i_low ! band index at lower bounding energy
integer :: i_up ! band index at upper bounding energy
integer :: same_nuc_idx ! index of same nuclide
real(8) :: f ! interpolation factor
real(8) :: r ! pseudo-random number
real(8) :: elastic ! elastic cross section
real(8) :: capture ! (n,gamma) cross section
real(8) :: fission ! fission cross section
real(8) :: inelastic ! inelastic cross section
logical :: same_nuc ! do we know the xs for this nuclide at this energy?
type(UrrData), pointer, save :: urr => null()
type(Nuclide), pointer, save :: nuc => null()
type(Reaction), pointer, save :: rxn => null()
type(ListElemInt), pointer :: nuc_list => null()
!$omp threadprivate(urr, nuc, rxn, nuc_list)
!$omp threadprivate(urr, nuc, rxn)
micro_xs(i_nuclide) % use_ptable = .true.
@ -381,18 +382,16 @@ contains
! this energy but a different temperature, use the original random number to
! preserve correlation of temperature in probability tables
same_nuc = .false.
nuc_list => nuc % nuc_list
do
if (E /= ZERO .and. E == micro_xs(nuc_list % data) % last_E) then
do i = 1, nuc % nuc_list % size()
if (E /= ZERO .and. E == micro_xs(nuc % nuc_list % get_item(i)) % last_E) then
same_nuc = .true.
same_nuc_idx = i
exit
end if
nuc_list => nuc_list % next
if (.not. associated(nuc_list % next)) exit
end do
if (same_nuc) then
r = micro_xs(nuc_list % data) % last_prn
r = micro_xs(nuc % nuc_list % get_item(same_nuc_idx)) % last_prn
else
r = prn()
micro_xs(i_nuclide) % last_prn = r
@ -476,6 +475,11 @@ contains
fission = fission * micro_xs(i_nuclide) % fission
end if
! Check for negative values
if (elastic < ZERO) elastic = ZERO
if (fission < ZERO) fission = ZERO
if (capture < ZERO) capture = ZERO
! Set elastic, absorption, fission, and total cross sections. Note that the
! total cross section is calculated as sum of partials rather than using the
! table-provided value
@ -539,11 +543,11 @@ contains
if (nuc % energy_0K(i_grid) == nuc % energy_0K(i_grid+1)) then
i_grid = i_grid + 1
end if
! calculate interpolation factor
f = (E - nuc % energy_0K(i_grid)) &
& / (nuc % energy_0K(i_grid + 1) - nuc % energy_0K(i_grid))
! Calculate microscopic nuclide elastic cross section
xs_out = (ONE - f) * nuc % elastic_0K(i_grid) &
& + f * nuc % elastic_0K(i_grid + 1)

View file

@ -299,6 +299,9 @@ module global
! Particle restart run
logical :: particle_restart_run = .false.
! Write out initial source
logical :: write_initial_source = .false.
! ============================================================================
! CMFD VARIABLES
@ -329,9 +332,6 @@ module global
integer :: n_cmfd_meshes = 1 ! # of structured meshes
integer :: n_cmfd_tallies = 3 ! # of user-defined tallies
! Flag to hold cmfd weight adjustment factors
logical :: cmfd_hold_weights = .false.
! Eigenvalue solver type
character(len=10) :: cmfd_solver_type = 'power'
@ -344,11 +344,9 @@ module global
! Batch to begin cmfd
integer :: cmfd_begin = 1
! When and how long to flush cmfd tallies during inactive batches
integer :: cmfd_inact_flush(2) = (/9999,1/)
! Batch to last flush before active batches
integer :: cmfd_act_flush = 0
! Tally reset list
integer :: n_cmfd_resets
type(SetInt) :: cmfd_reset
! Compute effective downscatter cross section
logical :: cmfd_downscatter = .false.
@ -366,11 +364,18 @@ module global
! CMFD run logicals
logical :: cmfd_on = .false.
logical :: cmfd_tally_on = .true.
! CMFD display info
character(len=25) :: cmfd_display = 'balance'
! Estimate of spectral radius of CMFD matrices and tolerances
real(8) :: cmfd_spectral = ZERO
real(8) :: cmfd_shift = 1.e6
real(8) :: cmfd_ktol = 1.e-8_8
real(8) :: cmfd_stol = 1.e-8_8
real(8) :: cmfd_atoli = 1.e-10_8
real(8) :: cmfd_rtoli = 1.e-5_8
! Information about state points to be written
integer :: n_state_points = 0
type(SetInt) :: statepoint_batch

View file

@ -11,7 +11,7 @@ module input_xml
use output, only: write_message
use plot_header
use random_lcg, only: prn
use string, only: lower_case, to_str, str_to_int, str_to_real, &
use string, only: to_lower, to_str, str_to_int, str_to_real, &
starts_with, ends_with
use tally_header, only: TallyObject, TallyFilter
use tally_initialize, only: add_tallies
@ -265,6 +265,14 @@ contains
call fatal_error()
end if
! Check if we want to write out source
if (check_for_node(node_source, "write_initial")) then
call get_node_value(node_source, "write_initial", temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
write_initial_source = .true.
end if
! Check for external source file
if (check_for_node(node_source, "file")) then
! Copy path of source file
@ -290,8 +298,7 @@ contains
type = ''
if (check_for_node(node_dist, "type")) &
call get_node_value(node_dist, "type", type)
call lower_case(type)
select case (trim(type))
select case (to_lower(type))
case ('box')
external_source % type_space = SRC_SPACE_BOX
coeffs_reqd = 6
@ -343,8 +350,7 @@ contains
type = ''
if (check_for_node(node_dist, "type")) &
call get_node_value(node_dist, "type", type)
call lower_case(type)
select case (trim(type))
select case (to_lower(type))
case ('isotropic')
external_source % type_angle = SRC_ANGLE_ISOTROPIC
coeffs_reqd = 0
@ -395,8 +401,7 @@ contains
type = ''
if (check_for_node(node_dist, "type")) &
call get_node_value(node_dist, "type", type)
call lower_case(type)
select case (trim(type))
select case (to_lower(type))
case ('monoenergetic')
external_source % type_energy = SRC_ENERGY_MONO
coeffs_reqd = 1
@ -446,7 +451,7 @@ contains
! Survival biasing
if (check_for_node(doc, "survival_biasing")) then
call get_node_value(doc, "survival_biasing", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
survival_biasing = .true.
end if
@ -454,7 +459,7 @@ contains
! Probability tables
if (check_for_node(doc, "ptables")) then
call get_node_value(doc, "ptables", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'false' .or. trim(temp_str) == '0') &
urr_ptables_on = .false.
end if
@ -691,19 +696,19 @@ contains
! Check if the user has specified to write binary source file
if (check_for_node(node_sp, "separate")) then
call get_node_value(node_sp, "separate", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. &
trim(temp_str) == '1') source_separate = .true.
end if
if (check_for_node(node_sp, "write")) then
call get_node_value(node_sp, "write", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'false' .or. &
trim(temp_str) == '0') source_write = .false.
end if
if (check_for_node(node_sp, "overwrite_latest")) then
call get_node_value(node_sp, "overwrite_latest", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. &
trim(temp_str) == '1') then
source_latest = .true.
@ -738,7 +743,7 @@ contains
! batch
if (check_for_node(doc, "no_reduce")) then
call get_node_value(doc, "no_reduce", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
reduce_tallies = .false.
end if
@ -747,7 +752,7 @@ contains
! uncertainties rather than standard deviations
if (check_for_node(doc, "confidence_intervals")) then
call get_node_value(doc, "confidence_intervals", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. &
trim(temp_str) == '1') confidence_intervals = .true.
end if
@ -761,7 +766,7 @@ contains
! Check for summary option
if (check_for_node(node_output, "summary")) then
call get_node_value(node_output, "summary", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. &
trim(temp_str) == '1') output_summary = .true.
end if
@ -769,7 +774,7 @@ contains
! Check for cross sections option
if (check_for_node(node_output, "cross_sections")) then
call get_node_value(node_output, "cross_sections", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. &
trim(temp_str) == '1') output_xs = .true.
end if
@ -777,7 +782,7 @@ contains
! Check for ASCII tallies output option
if (check_for_node(node_output, "tallies")) then
call get_node_value(node_output, "tallies", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'false' .or. &
trim(temp_str) == '0') output_tallies = .false.
end if
@ -786,15 +791,9 @@ contains
! Check for cmfd run
if (check_for_node(doc, "run_cmfd")) then
call get_node_value(doc, "run_cmfd", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') then
cmfd_run = .true.
#ifndef PETSC
if (master) then
message = 'CMFD is not available, compile OpenMC with PETSc'
call fatal_error()
end if
#endif
end if
end if
@ -802,7 +801,7 @@ contains
if (check_for_node(doc, "resonance_scattering")) then
call get_node_ptr(doc, "resonance_scattering", node_res_scat)
call get_node_list(node_res_scat, "scatterer", node_scat_list)
! check that a nuclide is specified
if (get_list_size(node_scat_list) >= 1) then
treat_res_scat = .true.
@ -812,7 +811,7 @@ contains
allocate(nuclides_0K(n_res_scatterers_total))
do i = 1, n_res_scatterers_total
call get_list_item(node_scat_list, i, node_scatterer)
! check to make sure a nuclide is specified
if (.not. check_for_node(node_scatterer, "nuclide")) then
message = "No nuclide specified for scatterer " // trim(to_str(i)) &
@ -821,12 +820,12 @@ contains
end if
call get_node_value(node_scatterer, "nuclide", &
nuclides_0K(i) % nuclide)
if (check_for_node(node_scatterer, "method")) then
call get_node_value(node_scatterer, "method", &
nuclides_0K(i) % scheme)
end if
! check to make sure xs name for which method is applied is given
if (.not. check_for_node(node_scatterer, "xs_label")) then
message = "Must specify the temperature dependent name of " // '' &
@ -835,7 +834,7 @@ contains
end if
call get_node_value(node_scatterer, "xs_label", &
nuclides_0K(i) % name)
! check to make sure 0K xs name for which method is applied is given
if (.not. check_for_node(node_scatterer, "xs_label_0K")) then
message = "Must specify the 0K name of " // '' &
@ -844,7 +843,7 @@ contains
end if
call get_node_value(node_scatterer, "xs_label_0K", &
nuclides_0K(i) % name_0K)
if (check_for_node(node_scatterer, "E_min")) then
call get_node_value(node_scatterer, "E_min", &
nuclides_0K(i) % E_min)
@ -860,7 +859,7 @@ contains
call get_node_value(node_scatterer, "E_max", &
nuclides_0K(i) % E_max)
end if
! check that E_max is not less than E_min
if (nuclides_0K(i) % E_max < nuclides_0K(i) % E_min) then
message = "Lower resonance scattering energy bound exceeds upper"
@ -868,8 +867,7 @@ contains
end if
nuclides_0K(i) % nuclide = trim(nuclides_0K(i) % nuclide)
nuclides_0K(i) % scheme = trim(nuclides_0K(i) % scheme)
call lower_case(nuclides_0K(i) % scheme)
nuclides_0K(i) % scheme = to_lower(trim(nuclides_0K(i) % scheme))
nuclides_0K(i) % name = trim(nuclides_0K(i) % name)
nuclides_0K(i) % name_0K = trim(nuclides_0K(i) % name_0K)
end do
@ -883,8 +881,7 @@ contains
! Natural element expansion option
if (check_for_node(doc, "natural_elements")) then
call get_node_value(doc, "natural_elements", temp_str)
call lower_case(temp_str)
select case (temp_str)
select case (to_lower(temp_str))
case ('endf/b-vii.0')
default_expand = ENDF_BVII0
case ('endf/b-vii.1')
@ -1017,8 +1014,7 @@ contains
word = ''
if (check_for_node(node_cell, "material")) &
call get_node_value(node_cell, "material", word)
call lower_case(word)
select case(word)
select case(to_lower(word))
case ('void')
c % material = MATERIAL_VOID
@ -1187,8 +1183,7 @@ contains
word = ''
if (check_for_node(node_surf, "type")) &
call get_node_value(node_surf, "type", word)
call lower_case(word)
select case(trim(word))
select case(to_lower(word))
case ('x-plane')
s % type = SURF_PX
coeffs_reqd = 1
@ -1249,8 +1244,7 @@ contains
word = ''
if (check_for_node(node_surf, "boundary")) &
call get_node_value(node_surf, "boundary", word)
call lower_case(word)
select case (trim(word))
select case (to_lower(word))
case ('transmission', 'transmit', '')
s % bc = BC_TRANSMIT
case ('vacuum')
@ -1312,8 +1306,7 @@ contains
word = ''
if (check_for_node(node_lat, "type")) &
call get_node_value(node_lat, "type", word)
call lower_case(word)
select case (trim(word))
select case (to_lower(word))
case ('rect', 'rectangle', 'rectangular')
lat % type = LATTICE_RECT
case ('hex', 'hexagon', 'hexagonal')
@ -1544,8 +1537,7 @@ contains
end if
! Adjust material density based on specified units
call lower_case(units)
select case(trim(units))
select case(to_lower(units))
case ('g/cc', 'g/cm3')
mat % density = -val
case ('kg/m3')
@ -1700,7 +1692,7 @@ contains
ALL_NUCLIDES: do j = 1, mat % n_nuclides
! Check that this nuclide is listed in the cross_sections.xml file
name = trim(list_names % get_item(j))
if (.not. xs_listing_dict % has_key(name)) then
if (.not. xs_listing_dict % has_key(to_lower(name))) then
message = "Could not find nuclide " // trim(name) // &
" in cross_sections.xml file!"
call fatal_error()
@ -1715,20 +1707,20 @@ contains
end if
! Find xs_listing and set the name/alias according to the listing
index_list = xs_listing_dict % get_key(name)
index_list = xs_listing_dict % get_key(to_lower(name))
name = xs_listings(index_list) % name
alias = xs_listings(index_list) % alias
! If this nuclide hasn't been encountered yet, we need to add its name
! and alias to the nuclide_dict
if (.not. nuclide_dict % has_key(name)) then
if (.not. nuclide_dict % has_key(to_lower(name))) then
index_nuclide = index_nuclide + 1
mat % nuclide(j) = index_nuclide
call nuclide_dict % add_key(name, index_nuclide)
call nuclide_dict % add_key(alias, index_nuclide)
call nuclide_dict % add_key(to_lower(name), index_nuclide)
call nuclide_dict % add_key(to_lower(alias), index_nuclide)
else
mat % nuclide(j) = nuclide_dict % get_key(name)
mat % nuclide(j) = nuclide_dict % get_key(to_lower(name))
end if
! Copy name and atom/weight percent
@ -1787,7 +1779,7 @@ contains
mat % sab_names(j) = name
! Check that this nuclide is listed in the cross_sections.xml file
if (.not. xs_listing_dict % has_key(name)) then
if (.not. xs_listing_dict % has_key(to_lower(name))) then
message = "Could not find S(a,b) table " // trim(name) // &
" in cross_sections.xml file!"
call fatal_error()
@ -1795,17 +1787,17 @@ contains
! Find index in xs_listing and set the name and alias according to the
! listing
index_list = xs_listing_dict % get_key(name)
index_list = xs_listing_dict % get_key(to_lower(name))
name = xs_listings(index_list) % name
! If this S(a,b) table hasn't been encountered yet, we need to add its
! name and alias to the sab_dict
if (.not. sab_dict % has_key(name)) then
if (.not. sab_dict % has_key(to_lower(name))) then
index_sab = index_sab + 1
mat % i_sab_tables(j) = index_sab
call sab_dict % add_key(name, index_sab)
call sab_dict % add_key(to_lower(name), index_sab)
else
mat % i_sab_tables(j) = sab_dict % get_key(name)
mat % i_sab_tables(j) = sab_dict % get_key(to_lower(name))
end if
end do
end if
@ -1916,7 +1908,7 @@ contains
! Check for <assume_separate> setting
if (check_for_node(doc, "assume_separate")) then
call get_node_value(doc, "assume_separate", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
if (trim(temp_str) == 'true' .or. trim(temp_str) == '1') &
assume_separate = .true.
end if
@ -1949,8 +1941,7 @@ contains
temp_str = ''
if (check_for_node(node_mesh, "type")) &
call get_node_value(node_mesh, "type", temp_str)
call lower_case(temp_str)
select case (trim(temp_str))
select case (to_lower(temp_str))
case ('rect', 'rectangle', 'rectangular')
m % type = LATTICE_RECT
case ('hex', 'hexagon', 'hexagonal')
@ -2133,7 +2124,7 @@ contains
temp_str = ''
if (check_for_node(node_filt, "type")) &
call get_node_value(node_filt, "type", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
! Determine number of bins
if (check_for_node(node_filt, "bins")) then
@ -2361,14 +2352,14 @@ contains
end if
! Check to make sure nuclide specified is in problem
if (.not. nuclide_dict % has_key(word)) then
if (.not. nuclide_dict % has_key(to_lower(word))) then
message = "The nuclide " // trim(word) // " from tally " // &
trim(to_str(t % id)) // " is not present in any material."
call fatal_error()
end if
! Set bin to index in nuclides array
t % nuclide_bins(j) = nuclide_dict % get_key(word)
t % nuclide_bins(j) = nuclide_dict % get_key(to_lower(word))
end do
! Set number of nuclide bins
@ -2399,7 +2390,7 @@ contains
! (i.e., scatter-p#, flux-y#)
n_new = 0
do j = 1, n_words
call lower_case(sarray(j))
sarray(j) = to_lower(sarray(j))
! Find if scores(j) is of the form 'moment-p' or 'moment-y' present in
! MOMENT_STRS(:)
! If so, check the order, store if OK, then reset the number to 'n'
@ -2665,6 +2656,12 @@ contains
! Get index of mesh filter
k = t % find_filter(FILTER_MESH)
! Check to make sure mesh filter was specified
if (k == 0) then
message = "Cannot tally surface current without a mesh filter."
call fatal_error()
end if
! Get pointer to mesh
i_mesh = t % filters(k) % int_bins(1)
m => meshes(i_mesh)
@ -2846,7 +2843,7 @@ contains
temp_str = 'slice'
if (check_for_node(node_plot, "type")) &
call get_node_value(node_plot, "type", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
select case (trim(temp_str))
case ("slice")
pl % type = PLOT_TYPE_SLICE
@ -2913,7 +2910,7 @@ contains
temp_str = 'xy'
if (check_for_node(node_plot, "basis")) &
call get_node_value(node_plot, "basis", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
select case (trim(temp_str))
case ("xy")
pl % basis = PLOT_BASIS_XY
@ -2960,7 +2957,7 @@ contains
temp_str = "cell"
if (check_for_node(node_plot, "color")) &
call get_node_value(node_plot, "color", temp_str)
call lower_case(temp_str)
temp_str = to_lower(temp_str)
select case (trim(temp_str))
case ("cell")
@ -3415,9 +3412,9 @@ contains
end if
! create dictionary entry for both name and alias
call xs_listing_dict % add_key(listing % name, i)
call xs_listing_dict % add_key(to_lower(listing % name), i)
if (check_for_node(node_ace, "alias")) then
call xs_listing_dict % add_key(listing % alias, i)
call xs_listing_dict % add_key(to_lower(listing % alias), i)
end if
end do
@ -3455,9 +3452,8 @@ contains
character(2) :: element_name
element_name = name(1:2)
call lower_case(element_name)
select case (element_name)
select case (to_lower(element_name))
case ('h')
call list_names % append('1001.' // xs)
call list_density % append(density * 0.999885_8)

View file

@ -20,19 +20,22 @@ module matrix_header
# endif
logical :: petsc_active
contains
procedure :: create => matrix_create
procedure :: destroy => matrix_destroy
procedure :: add_value => matrix_add_value
procedure :: new_row => matrix_new_row
procedure :: assemble => matrix_assemble
procedure :: get_row => matrix_get_row
procedure :: get_col => matrix_get_col
procedure :: create => matrix_create
procedure :: destroy => matrix_destroy
procedure :: add_value => matrix_add_value
procedure :: new_row => matrix_new_row
procedure :: assemble => matrix_assemble
procedure :: get_row => matrix_get_row
procedure :: get_col => matrix_get_col
procedure :: vector_multiply => matrix_vector_multiply
#ifdef PETSC
procedure :: transpose => matrix_transpose
procedure :: search_indices => matrix_search_indices
procedure :: write => matrix_write
procedure :: copy => matrix_copy
# ifdef PETSC
procedure :: setup_petsc => matrix_setup_petsc
procedure :: write_petsc_binary => matrix_write_petsc_binary
#endif
procedure :: transpose => matrix_transpose
# endif
end type matrix
#ifdef PETSC
@ -359,4 +362,87 @@ contains
end subroutine matrix_vector_multiply
!===============================================================================
! MATRIX_SEARCH_INDICES searches for an index in column corresponding to a row
!===============================================================================
subroutine matrix_search_indices(self, row, col, idx, found)
class(Matrix), intent(inout) :: self
integer, intent(in) :: row
integer, intent(in) :: col
integer, intent(out) :: idx
logical, intent(out) :: found
integer :: j
found = .false.
COLS: do j = self % get_row(row), self % get_row(row + 1) - 1
if (self % get_col(j) == col) then
idx = j
found = .true.
exit
end if
end do COLS
end subroutine matrix_search_indices
!===============================================================================
! MATRIX_WRITE writes a matrix to file
!===============================================================================
subroutine matrix_write(self, filename)
character(*), intent(in) :: filename
class(Matrix), intent(inout) :: self
integer :: unit_
integer :: i
integer :: j
open(newunit=unit_, file=filename)
do i = 1, self % n
do j = self % get_row(i), self % get_row(i + 1) - 1
write(unit_,*) i, self % get_col(j), self % val(j)
end do
end do
close(unit_)
end subroutine matrix_write
!===============================================================================
! MATRIX_COPY copies a matrix
!===============================================================================
subroutine matrix_copy(self, mattocopy)
class(Matrix), intent(inout) :: self
type(Matrix), intent(in) :: mattocopy
! Set n and nnz
self % n_count = mattocopy % n_count
self % nz_count = mattocopy % nz_count
self % n = mattocopy % n
self % nnz = mattocopy % nnz
! Allocate vectors
if (.not.allocated(self % row)) allocate(self % row(self % n + 1))
if (.not.allocated(self % col)) allocate(self % col(self % nnz))
if (.not.allocated(self % val)) allocate(self % val(self % nnz))
! Set PETSc active to false
self % petsc_active = .false.
! Copy over data
self % row = mattocopy % row
self % col = mattocopy % col
self % val = mattocopy % val
end subroutine matrix_copy
end module matrix_header

View file

@ -13,7 +13,7 @@ module output
use mesh, only: mesh_indices_to_bin, bin_to_mesh_indices
use particle_header, only: LocalCoord, Particle
use plot_header
use string, only: upper_case, to_str
use string, only: to_upper, to_str
use tally_header, only: TallyObject
implicit none
@ -130,8 +130,7 @@ contains
if (mod(len_trim(msg),2) == 0) m = m + 1
! convert line to upper case
line = msg
call upper_case(line)
line = to_upper(msg)
! print header based on level
select case (header_level)

View file

@ -22,15 +22,9 @@ element cmfd {
element feedback { xsd:boolean }? &
element n_cmfd_procs { xsd:int }? &
element reset { xsd:boolean }? &
element balance { xsd:boolean }? &
element downscatter { xsd:boolean }? &
element run_2grp { xsd:boolean }? &
element dhat_reset { xsd:boolean }? &
element solver { xsd:string }? &
@ -40,8 +34,6 @@ element cmfd {
element power_monitor { xsd:boolean }? &
element write_balance { xsd:boolean }? &
element write_matrices { xsd:boolean }? &
element run_adjoint { xsd:boolean }? &
@ -50,9 +42,18 @@ element cmfd {
element begin { xsd:int }? &
element inactive { xsd:boolean }? &
element tally_reset { list { xsd:int+ } }? &
element active_flush { xsd:int }? &
element display { xsd:string }? &
element spectral { xsd:double }? &
element shift { xsd:double }? &
element ktol { xsd: double }? &
element stol { xsd: double }? &
element gauss_seidel_tolerance { list { xsd:double+ } }?
element keff_tol { xsd:double }?
}

View file

@ -85,7 +85,8 @@ element settings {
attribute interplation { xsd:string { maxLength = "10" } })? &
(element parameters { list { xsd:double+ } } |
attribute parameters { list { xsd:double+ } })?
}?
}? &
(element write_initial { xsd:boolean } | attribute write_initial { xsd:boolean })?
}? &
element state_point {

View file

@ -27,6 +27,7 @@ contains
subroutine initialize_source()
character(MAX_FILE_LEN) :: filename
integer(8) :: i ! loop index over bank sites
integer(8) :: id ! particle id
integer(4) :: itmp ! temporary integer
@ -76,6 +77,20 @@ contains
end do
end if
! Write out initial source
if (write_initial_source) then
message = 'Writing out initial source guess...'
call write_message(1)
#ifdef HDF5
filename = trim(path_output) // 'initial_source.h5'
#else
filename = trim(path_output) // 'initial_source.binary'
#endif
call sp % file_create(filename, serial = .false.)
call sp % write_source_bank()
call sp % file_close()
end if
end subroutine initialize_source
!===============================================================================

View file

@ -152,37 +152,47 @@ contains
! LOWER_CASE converts a string to all lower case characters
!===============================================================================
elemental subroutine lower_case(word)
elemental function to_lower(word) result(word_lower)
character(*), intent(inout) :: word
character(*), intent(in) :: word
character(len=len(word)) :: word_lower
integer :: i
integer :: ic
do i = 1, len(word)
ic = ichar(word(i:i))
if (ic >= 65 .and. ic <= 90) word(i:i) = char(ic+32)
if (ic >= 65 .and. ic <= 90) then
word_lower(i:i) = char(ic+32)
else
word_lower(i:i) = word(i:i)
end if
end do
end subroutine lower_case
end function to_lower
!===============================================================================
! UPPER_CASE converts a string to all upper case characters
!===============================================================================
elemental subroutine upper_case(word)
elemental function to_upper(word) result(word_upper)
character(*), intent(inout) :: word
character(*), intent(in) :: word
character(len=len(word)) :: word_upper
integer :: i
integer :: ic
do i = 1, len(word)
ic = ichar(word(i:i))
if (ic >= 97 .and. ic <= 122) word(i:i) = char(ic-32)
if (ic >= 97 .and. ic <= 122) then
word_upper(i:i) = char(ic-32)
else
word_upper(i:i) = word(i:i)
end if
end do
end subroutine upper_case
end function to_upper
!===============================================================================
! ZERO_PADDED returns a string of the input integer padded with zeros to the
@ -317,7 +327,7 @@ end function zero_padded
! the loop automatically exits when n_digits = 10.
n_digits = n_digits + 1
end do
end function count_digits
!===============================================================================
@ -349,21 +359,21 @@ end function zero_padded
end function int8_to_str
!===============================================================================
! STR_TO_INT converts a string to an integer.
! STR_TO_INT converts a string to an integer.
!===============================================================================
function str_to_int(str) result(num)
character(*), intent(in) :: str
integer(8) :: num
character(5) :: fmt
integer :: w
integer :: ioError
! Determine width of string
w = len_trim(str)
! Create format specifier for reading string
write(UNIT=fmt, FMT='("(I",I2,")")') w
@ -404,7 +414,7 @@ end function zero_padded
integer :: decimal ! number of places after decimal
integer :: width ! total field width
real(8) :: num2 ! absolute value of number
real(8) :: num2 ! absolute value of number
character(9) :: fmt ! format specifier for writing number
! set default field width

View file

@ -21,10 +21,11 @@ module vector_header
procedure :: create => vector_create
procedure :: destroy => vector_destroy
procedure :: add_value => vector_add_value
#ifdef PETSC
procedure :: copy => vector_copy
# ifdef PETSC
procedure :: setup_petsc => vector_setup_petsc
procedure :: write_petsc_binary => vector_write_petsc_binary
#endif
# endif
end type Vector
#ifdef PETSC
@ -127,4 +128,28 @@ contains
end subroutine vector_write_petsc_binary
#endif
!===============================================================================
! VECTOR_COPY allocates a separate vector and copies
!===============================================================================
subroutine vector_copy(self, vectocopy)
class(Vector), target, intent(inout) :: self
type(Vector), intent(in) :: vectocopy
! Preallocate vector
if (.not.allocated(self % data)) allocate(self % data(vectocopy % n))
self % val => self % data(1:vectocopy % n)
! Set n
self % n = vectocopy % n
! Copy values
self % val = vectocopy % val
! Petsc is default not active
self % petsc_active = .false.
end subroutine vector_copy
end module vector_header

View file

@ -12,5 +12,5 @@
<display> dominance </display>
<solver> power </solver>
<feedback> true </feedback>
<gauss_seidel_tolerance> 1.e-15 1.e-20 </gauss_seidel_tolerance>
</cmfd>

View file

@ -12,5 +12,6 @@
<display> dominance </display>
<solver> power </solver>
<feedback> false </feedback>
<gauss_seidel_tolerance> 1.e-15 1.e-20 </gauss_seidel_tolerance>
</cmfd>