mirror of
https://github.com/openmc-dev/openmc.git
synced 2026-07-24 03:55:38 -04:00
Co-authored-by: church89 <l.chierici89@gmail.com> Co-authored-by: Paul Romano <paul.k.romano@gmail.com>
167 lines
7.5 KiB
Python
Executable file
167 lines
7.5 KiB
Python
Executable file
import os
|
|
|
|
import numpy as np
|
|
import openmc
|
|
import openmc.mgxs
|
|
|
|
from tests.testing_harness import PyAPITestHarness
|
|
|
|
|
|
def create_library():
|
|
# Instantiate the energy group data
|
|
egroups = [1e-5, 0.0635, 10.0, 1.0e2, 1.0e3, 0.5e6, 1.0e6, 20.0e6]
|
|
groups = openmc.mgxs.EnergyGroups(egroups)
|
|
|
|
# Instantiate the 7-group (C5G7) cross section data
|
|
uo2_xsdata = openmc.XSdata('UO2', groups, temperatures=[294.0, 600.0])
|
|
uo2_xsdata.order = 0
|
|
scatter_matrix = np.array([[
|
|
[0.1275370, 0.0423780, 0.0000094, 0.0000000, 0.0000000, 0.0000000, 0.0000000],
|
|
[0.0000000, 0.3244560, 0.0016314, 0.0000000, 0.0000000, 0.0000000, 0.0000000],
|
|
[0.0000000, 0.0000000, 0.4509400, 0.0026792, 0.0000000, 0.0000000, 0.0000000],
|
|
[0.0000000, 0.0000000, 0.0000000, 0.4525650, 0.0055664, 0.0000000, 0.0000000],
|
|
[0.0000000, 0.0000000, 0.0000000, 0.0001253, 0.2714010, 0.0102550, 0.0000000],
|
|
[0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0012968, 0.2658020, 0.0168090],
|
|
[0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0085458, 0.2730800]
|
|
]])
|
|
scatter_matrix = np.rollaxis(scatter_matrix, 0, 3)
|
|
|
|
# Original C5G7 data
|
|
uo2_xsdata.set_total([0.1779492, 0.3298048, 0.4803882, 0.5543674, 0.3118013, 0.3951678, 0.5644058], temperature=294.0)
|
|
uo2_xsdata.set_absorption([8.0248E-03, 3.7174E-03, 2.6769E-02, 9.6236E-02, 3.0020E-02, 1.1126E-01, 2.8278E-01], temperature=294.0)
|
|
uo2_xsdata.set_scatter_matrix(scatter_matrix, temperature=294.0)
|
|
uo2_xsdata.set_fission([7.21206E-03, 8.19301E-04, 6.45320E-03, 1.85648E-02, 1.78084E-02, 8.30348E-02, 2.16004E-01], temperature=294.0)
|
|
uo2_xsdata.set_nu_fission([2.005998E-02, 2.027303E-03, 1.570599E-02, 4.518301E-02, 4.334208E-02, 2.020901E-01, 5.257105E-01], temperature=294.0)
|
|
uo2_xsdata.set_chi([5.8791E-01, 4.1176E-01, 3.3906E-04, 1.1761E-07, 0.0000E+00, 0.0000E+00, 0.0000E+00], temperature=294.0)
|
|
|
|
# Altered C5G7 data (permuted Chi)
|
|
uo2_xsdata.set_total([0.1779492, 0.3298048, 0.4803882, 0.5543674, 0.3118013, 0.3951678, 0.5644058], temperature=600.0)
|
|
uo2_xsdata.set_absorption([8.0248E-03, 3.7174E-03, 2.6769E-02, 9.6236E-02, 3.0020E-02, 1.1126E-01, 2.8278E-01], temperature=600.0)
|
|
uo2_xsdata.set_scatter_matrix(scatter_matrix, temperature=600.0)
|
|
uo2_xsdata.set_fission([7.21206E-03, 8.19301E-04, 6.45320E-03, 1.85648E-02, 1.78084E-02, 8.30348E-02, 2.16004E-01], temperature=600.0)
|
|
uo2_xsdata.set_nu_fission([2.005998E-02, 2.027303E-03, 1.570599E-02, 4.518301E-02, 4.334208E-02, 2.020901E-01, 5.257105E-01], temperature=600.0)
|
|
uo2_xsdata.set_chi([4.1176E-01, 5.8791E-01, 3.3906E-04, 1.1761E-07, 0.0000E+00, 0.0000E+00, 0.0000E+00], temperature=600.0)
|
|
|
|
h2o_xsdata = openmc.XSdata('LWTR', groups)
|
|
h2o_xsdata.order = 0
|
|
h2o_xsdata.set_total([0.15920605, 0.412969593, 0.59030986, 0.58435,
|
|
0.718, 1.2544497, 2.650379])
|
|
h2o_xsdata.set_absorption([6.0105E-04, 1.5793E-05, 3.3716E-04,
|
|
1.9406E-03, 5.7416E-03, 1.5001E-02,
|
|
3.7239E-02])
|
|
scatter_matrix = np.array([[
|
|
[0.0444777, 0.1134000, 0.0007235, 0.0000037, 0.0000001, 0.0000000, 0.0000000],
|
|
[0.0000000, 0.2823340, 0.1299400, 0.0006234, 0.0000480, 0.0000074, 0.0000010],
|
|
[0.0000000, 0.0000000, 0.3452560, 0.2245700, 0.0169990, 0.0026443, 0.0005034],
|
|
[0.0000000, 0.0000000, 0.0000000, 0.0910284, 0.4155100, 0.0637320, 0.0121390],
|
|
[0.0000000, 0.0000000, 0.0000000, 0.0000714, 0.1391380, 0.5118200, 0.0612290],
|
|
[0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0022157, 0.6999130, 0.5373200],
|
|
[0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.0000000, 0.1324400, 2.4807000]
|
|
]])
|
|
scatter_matrix = np.rollaxis(scatter_matrix, 0, 3)
|
|
h2o_xsdata.set_scatter_matrix(scatter_matrix)
|
|
|
|
mg_cross_sections_file = openmc.MGXSLibrary(groups)
|
|
mg_cross_sections_file.add_xsdatas([uo2_xsdata, h2o_xsdata])
|
|
mg_cross_sections_file.export_to_hdf5()
|
|
|
|
|
|
class MGXSTestHarness(PyAPITestHarness):
|
|
def _cleanup(self):
|
|
super()._cleanup()
|
|
f = 'mgxs.h5'
|
|
if os.path.exists(f):
|
|
os.remove(f)
|
|
|
|
|
|
def test_mg_temperature_multi():
|
|
###############################################################################
|
|
# Create multigroup data
|
|
create_library()
|
|
|
|
###############################################################################
|
|
# Create materials for the problem
|
|
|
|
# Instantiate some Macroscopic Data
|
|
uo2_data = openmc.Macroscopic('UO2')
|
|
h2o_data = openmc.Macroscopic('LWTR')
|
|
|
|
# Instantiate some Materials and register the appropriate Macroscopic objects
|
|
uo2 = openmc.Material(name='UO2 fuel')
|
|
uo2.set_density('macro', 1.0)
|
|
uo2.add_macroscopic(uo2_data)
|
|
|
|
water = openmc.Material(name='Water')
|
|
water.set_density('macro', 1.0)
|
|
water.add_macroscopic(h2o_data)
|
|
|
|
# Instantiate a Materials collection and export to XML
|
|
materials = openmc.Materials([uo2, water])
|
|
materials.cross_sections = "mgxs.h5"
|
|
|
|
###############################################################################
|
|
# Define problem geometry
|
|
|
|
# Create a surface for the fuel outer radius
|
|
fuel_ir = openmc.ZCylinder(r=0.25, name='Fuel IR')
|
|
fuel_or = openmc.ZCylinder(r=0.54, name='Fuel OR')
|
|
|
|
# Create a region represented as the inside of a rectangular prism
|
|
pitch = 1.26
|
|
box = openmc.model.RectangularPrism(pitch, pitch, boundary_type='reflective')
|
|
|
|
# Instantiate Cells
|
|
fuel_inner = openmc.Cell(fill=uo2, region=-fuel_ir, name='fuel inner')
|
|
fuel_inner.temperature = 600.0
|
|
fuel_outer = openmc.Cell(fill=uo2, region=+fuel_ir & -fuel_or, name='fuel outer')
|
|
fuel_outer.temperature = 294.0
|
|
moderator = openmc.Cell(fill=water, region=+fuel_or & -box, name='moderator')
|
|
|
|
# Create a geometry with the two cells and export to XML
|
|
geometry = openmc.Geometry([fuel_inner, fuel_outer, moderator])
|
|
|
|
###############################################################################
|
|
# Define problem settings
|
|
|
|
# Instantiate a Settings object, set all runtime parameters, and export to XML
|
|
settings = openmc.Settings()
|
|
settings.energy_mode = "multi-group"
|
|
settings.batches = 10
|
|
settings.inactive = 5
|
|
settings.particles = 1000
|
|
|
|
# Create an initial uniform spatial source distribution over fissionable zones
|
|
lower_left = (-pitch/2, -pitch/2, -1)
|
|
upper_right = (pitch/2, pitch/2, 1)
|
|
uniform_dist = openmc.stats.Box(lower_left, upper_right)
|
|
settings.source = openmc.IndependentSource(
|
|
space=uniform_dist, constraints={'fissionable': True})
|
|
|
|
###############################################################################
|
|
# Define tallies
|
|
|
|
# Instantiate the energy group data
|
|
egroups = [1e-5, 0.0635, 10.0, 1.0e2, 1.0e3, 0.5e6, 1.0e6, 20.0e6]
|
|
|
|
inner_filter = openmc.CellFilter(fuel_inner)
|
|
outer_filter = openmc.CellFilter(fuel_outer)
|
|
energy_filter = openmc.EnergyFilter(egroups)
|
|
|
|
inner_tally = openmc.Tally(name="inner tally")
|
|
inner_tally.filters = [energy_filter]
|
|
inner_tally.filters = [inner_filter]
|
|
inner_tally.scores = ['flux']
|
|
|
|
outer_tally = openmc.Tally(name="outer tally")
|
|
outer_tally.filters = [energy_filter]
|
|
outer_tally.filters = [outer_filter]
|
|
outer_tally.scores = ['flux']
|
|
|
|
# Instantiate a Tallies collection and export to XML
|
|
tallies = openmc.Tallies([inner_tally, outer_tally])
|
|
|
|
# Generate model and run test
|
|
model = openmc.Model(geometry, materials, settings, tallies)
|
|
|
|
harness = MGXSTestHarness('statepoint.10.h5', model=model)
|
|
harness.main()
|