added last toy problem

This commit is contained in:
Bryan Herman 2014-09-10 22:25:47 -04:00
parent 9f07c1bb18
commit aed4f06f14

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@ -453,7 +453,7 @@ because no fission neutrons appear with energies in the thermal group.
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
| 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` | | |
+--------------------------------------------------------------------------------------------+----------------+---------------------------+
@ -523,6 +523,136 @@ 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.
-------------------
Toy Problem Example
-------------------
Before applying CMFD to a large reactor, a simple $1$-D slab toy problem was
analyzed to understand how CMFD works. Table :ref:`tab_1Dtoyinput` presents
data used to construct this problem. For MFD, the mesh was 2 cm over the
geometry with one energy group. A comparison of fission source convergence
using Shannon entropy is shown in figure :ref:`fig_1Dentropy`. The figure
illustrates that it takes about 150 FSGs (equivalent to batches) to converge
the source with standard MC without CMFD. For the case with CMFD, it is
activated at batch 11 and directly affects the fission source for batch 12.
Convergence of the fission source is almost immediately reached.
.. _tab_1Dtoyinput:
.. table:: Input data for 1-D slab toy problem
+--------------------------------------------+-------------------+
+--------------------------------------------+-------------------+
| Slab Length | 200 cm |
+============================================+===================+
| Homogeneous material of :math:`\rm UO_2` | 19 g/cc density |
+--------------------------------------------+-------------------+
| U-235 weight percent | 0.21 |
+--------------------------------------------+-------------------+
| U-238 weight percent | 0.68 |
+--------------------------------------------+-------------------+
| O-16 weight percent | 0.11 |
+--------------------------------------------+-------------------+
| Number of particles per | 4,000,000 |
+--------------------------------------------+-------------------+
| Number of inactive | 400 |
+--------------------------------------------+-------------------+
|
|
.. _fig_1Dentropy:
.. figure:: ../_images/entropy_1Dslab.png
:scale: 10
Source convergence comparison for $1$-D slab toy problem
To further show this convergence, source distributions were edited at various
batches and compared. Figures :ref:`fig_toy6` to :ref:`fig_toy200` compare the
OpenMC source distribution from the no CMFD case, the OpenMC source
distribution from the CMFD case and the CMFD source distribution for six
different batches. Figure :ref:`fig_toy6` compares the distributions at batch
6. Here, CMFD has not been activated yet, so it is just plotted at zero. As
expected, the OpenMC source distributions from the two cases are equal because
CMFD has not yet affected it. From this plot, one can also see that the source
distribution is very flat because the initial guess was uniform over space.
Because the dominance ratio is close to unity, the source will slowly converge
to a cosine-like shape. Results from batch 10 are presented in figure
:ref:`fig_toy10`. The same information is shown in this plot, but the source is
slightly more converged. It is plotted here to show how little the source
changes in four batches. Batch 11 is the first time a CMFD source is
calculated. Right away, it appears as a smooth cosine-like shape as shown in
figure :ref:`fig_toy11`. Thus, when CMFD is fed back, its source shape will
modify the OpenMC source bank to preserve this distribution on the CMFD mesh.
On the next batch, shown in :ref:`fig_toy12`, the OpenMC source and the CMFD
source from the CMFD case match, while the OpenMC source from the no CMFD case
lags behind. Two more batches are shown in figure :ref:`fig_toy40` and figure
:ref:`fig_toy200` to illustrate that all source distributions eventually line
up at batch 200.
.. _fig_toy6:
.. figure:: ../_images/statepoint6.png
:scale: 10
Source at FSG 6
|
.. _fig_toy10:
.. figure:: ../_images/statepoint10.png
:scale: 10
Source at FSG 10
|
.. _fig_toy11:
.. figure:: ../_images/statepoint11.png
:scale: 10
Source at FSG 11
|
.. _fig_toy12:
.. figure:: ../_images/statepoint12.png
:scale: 10
Source at FSG 12
|
.. _fig_toy40:
.. figure:: ../_images/statepoint40.png
:scale: 10
Source at FSG 40
|
.. _fig_toy200:
.. figure:: ../_images/statepoint200.png
:scale: 10
Source at FSG 200
|
This simple illustration shows the power of NDA. Because of the nature of the
diffusion equation, it can propagate and dampen higher harmonics much faster
than the MC transport solution. It should be noted here that this is a very
simplified problem where the dominance ratio was increased by changing the size
of the slab. Also, the source distribution is very smooth and there was only
one homogeneous material. The problem becomes more difficult to solve when
expanding to more spatial dimensions and complex materials.
----------
References
----------