def _build_inputs(self):
model = openmc.model.Model()
# settings
model.settings.batches = 5
model.settings.inactive = 0
model.settings.particles = 100
source = openmc.Source(space=Box([-4, -4, -4], [4, 4, 4]))
model.settings.source = source
model.settings.dagmc = True
model.settings.export_to_xml()
# geometry
dag_univ = openmc.DAGMCUniverse("dagmc.h5m", auto_geom_ids=True)
model.geometry = openmc.Geometry(dag_univ)
# tally
tally = openmc.Tally()
tally.scores = ['total']
tally.filters = [openmc.CellFilter(2)]
model.tallies = [tally]
model.tallies.export_to_xml()
model.export_to_xml()
def buildTriangUni(modSetting,pitch,diameter,boron,modT,fuelT,DyFrac,enrich):
uo2=getU(fuelT,DyFrac,enrich)
mod=getMod(modSetting,boron,modT) #loads the moderator
mats = openmc.Materials([uo2, mod])
mats.export_to_xml()
####################build the surfaces################################
fuel_or1 = openmc.ZCylinder(R=diameter/2)
box = openmc.get_hexagonal_prism(edge_length=pitch/math.sqrt(3.0),boundary_type='reflective')
#################Build the Cells #######################################
fuel_region = -fuel_or1 #beautiful abuse of operator overloading
mod_region = box & +fuel_or1
# c
# c Fuel
# c
# c throwback to MCNP
fuel = openmc.Cell(1, 'fuel')
fuel.fill = uo2
fuel.region = fuel_region
#
# Moderator
#
moderator = openmc.Cell(4, 'moderator')
moderator.fill = mod
moderator.region = mod_region
#I am groot!
groot = openmc.Universe(cells=(fuel, moderator))
geom = openmc.Geometry(groot)
geom.export_to_xml()
cell_filter = openmc.CellFilter([fuel, moderator])
# tallies
buildTallies(cell_filter)
return (fuel,moderator)
def pincell_model():
"""Set up a model to test with and delete files when done"""
openmc.reset_auto_ids()
pincell = openmc.examples.pwr_pin_cell()
pincell.settings.verbosity = 1
# Add a tally
filter1 = openmc.MaterialFilter(pincell.materials)
filter2 = openmc.EnergyFilter([0.0, 1.0, 1.0e3, 20.0e6])
mat_tally = openmc.Tally()
mat_tally.filters = [filter1, filter2]
mat_tally.nuclides = ['U235', 'U238']
mat_tally.scores = ['total', 'elastic', '(n,gamma)']
pincell.tallies.append(mat_tally)
# Add an expansion tally
zernike_tally = openmc.Tally()
filter3 = openmc.ZernikeFilter(5, r=.63)
cells = pincell.geometry.root_universe.cells
filter4 = openmc.CellFilter(list(cells.values()))
zernike_tally.filters = [filter3, filter4]
zernike_tally.scores = ['fission']
pincell.tallies.append(zernike_tally)
# Add an energy function tally
energyfunc_tally = openmc.Tally()
energyfunc_filter = openmc.EnergyFunctionFilter([0.0, 20e6], [0.0, 20e6])
energyfunc_tally.scores = ['fission']
energyfunc_tally.filters = [energyfunc_filter]
pincell.tallies.append(energyfunc_tally)
# Write XML files in tmpdir
with cdtemp():
pincell.export_to_xml()
yield
def model():
model = openmc.model.Model()
zn = openmc.Material()
zn.set_density('g/cm3', 7.14)
zn.add_nuclide('Zn64', 1.0)
model.materials.append(zn)
radii = np.linspace(1.0, 100.0)
surfs = [openmc.Sphere(r=r) for r in radii]
surfs[-1].boundary_type = 'vacuum'
cells = [
openmc.Cell(fill=(zn if i % 2 == 0 else None), region=region)
for i, region in enumerate(openmc.model.subdivide(surfs))
]
model.geometry = openmc.Geometry(cells)
model.settings.run_mode = 'fixed source'
model.settings.batches = 3
model.settings.particles = 1000
model.settings.source = openmc.Source(space=openmc.stats.Point())
cell_filter = openmc.CellFilter(cells)
tally = openmc.Tally()
tally.filters = [cell_filter]
tally.scores = ['total']
model.tallies.append(tally)
return model
def get_flux_spectrum_tally(self, bucell):
flux_spectrum = openmc.Tally(name='{} flux spectrum'.format(bucell.name))
flux_spectrum.filters = [openmc.CellFilter(bucell.id)]
flux_spectrum.filters.append(self.mg_energy_bin)
flux_spectrum.scores = ['flux']
return flux_spectrum
def get_flux_tally(self, bucell):
flux = openmc.Tally(name='{} flux'.format(bucell.name))
flux.filters = [openmc.CellFilter(bucell.id)]
flux.filters.append(self.energy_bin)
flux.scores = ['flux']
return flux
def generate_tallies(fuelcelllist, total_fuel_cell, porder, flag):
tallies_file = openmc.Tallies()
cell_filter = openmc.CellFilter(fuelcelllist)
total_fuel_cell_filter = openmc.CellFilter([total_fuel_cell])
zmin = -100
zmax = 100
if flag == 1:
# choose flag 1, we use tradiational estimators
tally3 = openmc.Tally(name='tracklength')
tally3.filters.append(cell_filter)
tally3.scores = ['nu-fission', 'absorption']
tally3.nuclides = ['U238']
tally3.estimator = 'tracklength'
tallies_file.append(tally3)
tally3 = openmc.Tally(name='collision')
tally3.filters.append(cell_filter)
tally3.scores = ['nu-fission', 'absorption']
tally3.nuclides = ['U238']
tally3.estimator = 'collision'
tallies_file.append(tally3)
# tally3 = openmc.Tally(name='analog')
# tally3.filters.append(cell_filter)
# tally3.scores = ['flux']
# tally3.nuclides = ['U238']
# tally3.estimator = 'analog'
# tallies_file.append(tally3)
elif flag == 2:
# we tally FET
str1 = 'fet'
strorder = str(porder)
name = str1 + strorder
fet_tally = openmc.Tally(name=name)
fet_tally.filters.append(total_fuel_cell_filter)
fet_tally.scores = ['nu-fission', 'absorption']
fet_tally.nuclides = ['U238']
expand_filter = openmc.SpatialLegendreFilter(porder, 'z', zmin, zmax)
fet_tally.filters.append(expand_filter)
tallies_file.append(fet_tally)
tallies_file.export_to_xml()
def update(self, Tf, Tclad, Tbulk, Mesh, RhoBulk): #T.gap
# Update temperatures in OpenMC
self.settings_file.batches = 1100
self.settings_file.inactive = 100
self.settings_file.particles = 20000
self.settings_file.generations_per_batch = 5
# self.settings_file.seed = np.random.randint(1,100) #for correlation calculation
self.settings_file.export_to_xml()
shutil.move('settings.xml', 'PinGeo/settings.xml')
#START removed for uncoupled correlation
self.materials_file.export_to_xml()
shutil.move('materials.xml', 'PinGeo/materials.xml')
self.reflectTOP.temperature = Tbulk[-1]
self.reflectBOT.temperature = Tbulk[0]
j = 0
for fuels in self.fuel_list:
fuels.temperature = (Tf[j] + Tf[j + 1]) / 2
j = j + 1
# j = 0
# for gaps in self.gap_list:
# gaps.temperature = (Tgap[j]+Tgap[j])/2.
# j = j+1
j = 0
for clads in self.clad_list:
clads.temperature = (Tclad[j] + Tclad[j + 1]) / 2.
j = j + 1
#Update temperature of extraclad_list?
j = 0
for waters in self.water_list:
waters.temperature = (Tbulk[j] + Tbulk[j + 1]) / 2
j = j + 1
self.root.add_cells(self.fuel_list)
# self.root.add_cells(self.gap_list)
self.root.add_cells(self.clad_list)
self.root.add_cells(self.water_list)
self.geometry_file = openmc.Geometry(self.root)
self.geometry_file.export_to_xml()
shutil.move('geometry.xml', 'PinGeo/geometry.xml')
#END removed for uncoupled correlation
# Tallies
# power distribution: fission q recoverable (starts 0, might be data pb)
# openmc accounts for incoming neutron energy and isotope
cell_filter = openmc.CellFilter(self.fuel_list)
t = openmc.Tally(tally_id=2)
t.filters.append(cell_filter)
t.scores = ['fission-q-recoverable']
self.tallies = openmc.Tallies([t])
self.tallies.export_to_xml()
shutil.move('tallies.xml', 'PinGeo/tallies.xml')
def generate_tallies(fuelcelllist, total_fuel_cell, zerk_order, flag):
tallies_file = openmc.Tallies()
cell_filter = openmc.CellFilter(fuelcelllist)
total_fuel_cell_filter = openmc.CellFilter([total_fuel_cell])
if flag == 1:
# choose flag 1, we use tradiational estimators
tally3 = openmc.Tally(name='tracklength')
tally3.filters.append(cell_filter)
tally3.scores = ['nu-fission', 'absorption']
tally3.nuclides = ['U238']
tally3.estimator = 'tracklength'
tallies_file.append(tally3)
tally3 = openmc.Tally(name='collision')
tally3.filters.append(cell_filter)
tally3.scores = ['nu-fission', 'absorption']
tally3.nuclides = ['U238']
tally3.estimator = 'collision'
tallies_file.append(tally3)
tally3 = openmc.Tally(name='analog')
tally3.filters.append(cell_filter)
tally3.scores = ['nu-fission', 'absorption']
tally3.nuclides = ['U238']
tally3.estimator = 'analog'
tallies_file.append(tally3)
elif flag == 2:
# we tally FET
str1 = 'fet'
strorder = str(zerk_order)
name = str1 + strorder
fet_tally = openmc.Tally(name=name)
fet_tally.filters.append(total_fuel_cell_filter)
fet_tally.scores = ['nu-fission', 'absorption']
fet_tally.nuclides = ['U238']
expand_filter = openmc.ZernikeFilter(zerk_order, x=0.0, y=0.0, r=0.392)
fet_tally.filters.append(expand_filter)
tallies_file.append(fet_tally)
tallies_file.export_to_xml()
def model(request):
openmc.reset_auto_ids()
marker = request.node.get_closest_marker("surf_source_op")
surf_source_op = marker.args[0]
openmc_model = openmc.model.Model()
# Materials
# None
# Geometry
# Concentric void spheres
# - Innermost sphere to bank surface sources
# - Second shell to tally cell flux
# - Outermost sphere as vacuum boundary
sph_1 = openmc.Sphere(r=1.0) # Surface to bank/write sources.
sph_2 = openmc.Sphere(r=2.0)
sph_3 = openmc.Sphere(r=2.5)
sph_4 = openmc.Sphere(r=4.0, boundary_type='vacuum')
cell_1 = openmc.Cell(region=-sph_1)
cell_2 = openmc.Cell(region=+sph_1 & -sph_2)
cell_3 = openmc.Cell(region=+sph_2 & -sph_3) # Cell to tally flux.
cell_4 = openmc.Cell(region=+sph_3 & -sph_4)
root = openmc.Universe(cells=[cell_1, cell_2, cell_3, cell_4])
openmc_model.geometry = openmc.Geometry(root)
# Settings
openmc_model.settings.run_mode = 'fixed source'
openmc_model.settings.particles = 1000
openmc_model.settings.batches = 10
openmc_model.settings.seed = 1
if surf_source_op == 'write':
point = openmc.stats.Point((0, 0, 0))
pt_src = openmc.Source(space=point)
openmc_model.settings.source = pt_src
openmc_model.settings.surf_source_write = {
'surface_ids': [1],
'max_particles': 1000
}
elif surf_source_op == 'read':
openmc_model.settings.surf_source_read = {
'path': 'surface_source_true.h5'
}
# Tallies
tal = openmc.Tally()
cell_filter = openmc.CellFilter(cell_3)
tal.filters = [cell_filter]
tal.scores = ['flux']
openmc_model.tallies.append(tal)
return openmc_model
def dagmc_model(request):
model = openmc.model.Model()
# settings
model.settings.batches = 5
model.settings.inactive = 0
model.settings.particles = 100
model.settings.temperature = {'tolerance': 50.0}
model.settings.verbosity = 1
source_box = openmc.stats.Box([-4, -4, -4], [4, 4, 4])
source = openmc.Source(space=source_box)
model.settings.source = source
# geometry
dagmc_universe = openmc.DAGMCUniverse('dagmc.h5m')
model.geometry = openmc.Geometry(dagmc_universe)
# tally
tally = openmc.Tally()
tally.scores = ['total']
tally.filters = [openmc.CellFilter(1)]
model.tallies = [tally]
# materials
u235 = openmc.Material(name="no-void fuel")
u235.add_nuclide('U235', 1.0, 'ao')
u235.set_density('g/cc', 11)
u235.id = 40
u235.temperature = 320
water = openmc.Material(name="water")
water.add_nuclide('H1', 2.0, 'ao')
water.add_nuclide('O16', 1.0, 'ao')
water.set_density('g/cc', 1.0)
water.add_s_alpha_beta('c_H_in_H2O')
water.id = 41
mats = openmc.Materials([u235, water])
model.materials = mats
# location of dagmc file in test directory
dagmc_file = request.fspath.dirpath() + "/dagmc.h5m"
# move to a temporary directory
with cdtemp():
shutil.copyfile(dagmc_file, "./dagmc.h5m")
model.export_to_xml()
openmc.lib.init()
yield
openmc.lib.finalize()
def _build_openmc(self):
"""Generate the OpenMC input XML
"""
# Directory from which openmc is run
os.makedirs('openmc', exist_ok=True)
# Define material
mat = openmc.Material()
for element, fraction in self.elements:
mat.add_element(element, fraction)
mat.set_density('g/cm3', self.density)
materials = openmc.Materials([mat])
materials.export_to_xml(os.path.join('openmc', 'materials.xml'))
# Set up geometry
sphere = openmc.Sphere(boundary_type='reflective', R=1.e9)
cell = openmc.Cell()
cell.fill = mat
cell.region = -sphere
geometry = openmc.Geometry([cell])
geometry.export_to_xml(os.path.join('openmc', 'geometry.xml'))
# Define source
source = openmc.Source()
source.space = openmc.stats.Point((0, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Discrete([self.energy], [1.])
source.particle = 'photon'
# Settings
settings = openmc.Settings()
settings.source = source
settings.particles = self.particles
settings.run_mode = 'fixed source'
settings.batches = 1
settings.photon_transport = True
settings.electron_treatment = self.electron_treatment
settings.cutoff = {'energy_photon': 1000.}
settings.export_to_xml(os.path.join('openmc', 'settings.xml'))
# Define tallies
cell_filter = openmc.CellFilter(cell)
energy_bins = np.logspace(3, np.log10(self.energy), 500)
energy_filter = openmc.EnergyFilter(energy_bins)
particle_filter = openmc.ParticleFilter('photon')
tally = openmc.Tally(name='photon flux')
tally.filters = [cell_filter, energy_filter, particle_filter]
tally.scores = ['flux']
tallies = openmc.Tallies([tally])
tallies.export_to_xml(os.path.join('openmc', 'tallies.xml'))
def parse4Factor(batch,fuel,mod):
#read in the tallies
sp = openmc.StatePoint('statepoint.'+str(batch)+'.h5')
uniFilter = openmc.CellFilter([fuel, mod])
fuelFilter=openmc.CellFilter([fuel])
# this reads the tally with all reaction rates, not just absorption
tally = sp.get_tally(scores=['absorption'])
data=tally.get_pandas_dataframe()
#data=dat.set_index("cell",drop=False)
#parse dem data (gotta use proper plural grammar)
nuFiss= data.iloc[1,5]+data.iloc[4,5] #sum all fission neutrons produced
absorbFuel=data.iloc[3,5]+data.iloc[0,5] #all absorptions in the fuel
absorbTotal=absorbFuel+data.iloc[6,5]+data.iloc[9,5] #all absorptions
thermalized=data.iloc[0,5]+data.iloc[2,5]+data.iloc[6,5] #all absorptions and fissions below thermal (since no leakage)
thermalFiss=data.iloc[2,5]
eta=nuFiss/absorbFuel
f=absorbFuel/absorbTotal
p=thermalized/nuFiss
eps=nuFiss/thermalFiss
return np.array([eta,f,p,eps])
def get_all_nucl_rxn_tally(self, bucell):
nucl_list = self.get_nucl_to_be_tallied(bucell)
print ('bucell name',bucell.name)
print ('nucl list when set to tally',nucl_list)
nucl_list = utils.bu_namelist_to_mc_namelist(nucl_list)
rxn = openmc.Tally(name='{} rxn rate'.format(bucell.name))
rxn.filters = [openmc.CellFilter(bucell.id)]
rxn.filters.append(self.energy_bin)
rxn.scores = ['fission', '(n,gamma)', '(n,2n)', '(n,3n)', '(n,p)', '(n,a)']
#rxn.scores = ['fission', '(n,gamma)']
#rxn.scores = ['fission', '(n,gamma)', '(n,2n)']
rxn.nuclides = nucl_list
return rxn
def model():
model = openmc.model.Model()
# settings
model.settings.batches = 5
model.settings.inactive = 0
model.settings.particles = 100
source_box = openmc.stats.Box([-4, -4, -4], [4, 4, 4])
source = openmc.Source(space=source_box)
model.settings.source = source
model.settings.dagmc = True
# geometry
dag_univ = openmc.DAGMCUniverse("dagmc.h5m")
model.geometry = openmc.Geometry(dag_univ)
# tally
tally = openmc.Tally()
tally.scores = ['total']
tally.filters = [openmc.CellFilter(1)]
model.tallies = [tally]
# materials
u235 = openmc.Material(name="no-void fuel")
u235.add_nuclide('U235', 1.0, 'ao')
u235.set_density('g/cc', 11)
u235.id = 40
water = openmc.Material(name="water")
water.add_nuclide('H1', 2.0, 'ao')
water.add_nuclide('O16', 1.0, 'ao')
water.set_density('g/cc', 1.0)
water.add_s_alpha_beta('c_H_in_H2O')
water.id = 41
mats = openmc.Materials([u235, water])
model.materials = mats
return model
def _build_inputs(self):
model = openmc.model.Model()
# settings
model.settings.batches = 5
model.settings.inactive = 0
model.settings.particles = 100
source = openmc.Source(space=Box([-4, -4, -4], [4, 4, 4]))
model.settings.source = source
model.settings.dagmc = True
model.settings.export_to_xml()
# tally
tally = openmc.Tally()
tally.scores = ['total']
tally.filters = [openmc.CellFilter(1)]
model.tallies = [tally]
model.tallies.export_to_xml()
def test_dagmc():
model = openmc.model.Model()
# settings
model.settings.batches = 5
model.settings.inactive = 0
model.settings.particles = 100
source_box = openmc.stats.Box([-4, -4, -4], [4, 4, 4])
source = openmc.Source(space=source_box)
model.settings.source = source
model.settings.dagmc = True
# tally
tally = openmc.Tally()
tally.scores = ['total']
tally.filters = [openmc.CellFilter(1)]
model.tallies = [tally]
# materials
u235 = openmc.Material(name="fuel")
u235.add_nuclide('U235', 1.0, 'ao')
u235.set_density('g/cc', 11)
u235.id = 40
water = openmc.Material(name="water")
water.add_nuclide('H1', 2.0, 'ao')
water.add_nuclide('O16', 1.0, 'ao')
water.set_density('g/cc', 1.0)
water.add_s_alpha_beta('c_H_in_H2O')
water.id = 41
mats = openmc.Materials([u235, water])
model.materials = mats
model.export_to_xml()
sett.inactive = 0
sett.particles = 10000
sett.run_mode = 'fixed source'
# Create a DT point source
source = openmc.Source()
source.space = openmc.stats.Point((0, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Discrete([14e6], [1])
sett.source = source
tallies = openmc.Tallies()
# added a cell tally for tritium production
cell_filter = openmc.CellFilter(first_wall_cell)
reaction_tally = openmc.Tally(name='DPA')
reaction_tally.filters = [cell_filter]
reaction_tally.scores = ['444']
tallies.append(reaction_tally)
# Run OpenMC!
model = openmc.model.Model(geom, mats, sett, tallies)
model.run()
# open the results file
sp = openmc.StatePoint('statepoint.'+str(batches)+'.h5')
# access the tally
tally = sp.get_tally(name='DPA')
def make_materials_geometry_tallies(enrichment):
# MATERIALS
breeder_material = openmc.Material(1, "PbLi") # Pb84.2Li15.8
breeder_material.add_element('Pb', 84.2, percent_type='ao')
breeder_material.add_element('Li',
15.8,
percent_type='ao',
enrichment=enrichment,
enrichment_target='Li6',
enrichment_type='ao')
breeder_material.set_density('atom/b-cm', 3.2720171e-2) # around 11 g/cm3
steel = openmc.Material(name='steel')
steel.set_density('g/cm3', 7.75)
steel.add_element('Fe', 0.95, percent_type='wo')
steel.add_element('C', 0.05, percent_type='wo')
mats = openmc.Materials([breeder_material, steel])
# GEOMETRY
# surfaces
vessel_inner = openmc.Sphere(r=500)
first_wall_outer_surface = openmc.Sphere(r=510)
breeder_blanket_outer_surface = openmc.Sphere(r=610,
boundary_type='vacuum')
# cells
inner_vessel_region = -vessel_inner
inner_vessel_cell = openmc.Cell(region=inner_vessel_region)
first_wall_region = -first_wall_outer_surface & +vessel_inner
first_wall_cell = openmc.Cell(region=first_wall_region)
first_wall_cell.fill = steel
breeder_blanket_region = +first_wall_outer_surface & -breeder_blanket_outer_surface
breeder_blanket_cell = openmc.Cell(region=breeder_blanket_region)
breeder_blanket_cell.fill = breeder_material
universe = openmc.Universe(
cells=[inner_vessel_cell, first_wall_cell, breeder_blanket_cell])
geom = openmc.Geometry(universe)
# SIMULATION SETTINGS
sett = openmc.Settings()
sett.batches = 2 # this is minimum number of batches that will be run
sett.trigger_active = True
sett.trigger_max_batches = 200 # this is maximum number of batches that will be run
sett.inactive = 0
sett.particles = 1000
sett.run_mode = 'fixed source'
source = openmc.Source()
source.space = openmc.stats.Point((0, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Discrete([14e6], [1])
sett.source = source
# TALLIES
tallies = openmc.Tallies()
cell_filter = openmc.CellFilter(breeder_blanket_cell)
tbr_tally = openmc.Tally(name='TBR')
tbr_tally.filters = [cell_filter]
tbr_tally.scores = [
'(n,Xt)'
] # MT 205 is the (n,Xt) reaction where X is a wildcard, if MT 105 or (n,t) then some tritium production will be missed, for example (n,nt) which happens in Li7 would be missed
tbr_tally.triggers = [
openmc.Trigger(trigger_type='std_dev', threshold=0.01)
] # This stops the simulation if the threshold is meet
tallies.append(tbr_tally)
# RUN OPENMC
model = openmc.model.Model(geom, mats, sett, tallies)
sp_filename = model.run()
# OPEN OUPUT FILE
sp = openmc.StatePoint(sp_filename)
tbr_tally = sp.get_tally(name='TBR')
df = tbr_tally.get_pandas_dataframe()
tbr_tally_result = df['mean'].sum()
tbr_tally_std_dev = df['std. dev.'].sum()
return {
'enrichment': enrichment,
'tbr_tally_result': tbr_tally_result,
'tbr_tally_std_dev': tbr_tally_std_dev
}
def simulate_model(enrichment,
blanket_thickness=200,
firstwall_thickness=5,
breeder_material_name="Li4SiO4",
temperature_in_C=500,
threshold=0.0005,
inner_radius=500):
# MATERIALS from library of materials in neutronics_material_maker package
breeder_material = Material(
material_name=breeder_material_name,
enrichment=enrichment,
temperature_in_C=temperature_in_C,
).neutronics_material
SS316 = Material(material_name="SS316").neutronics_material
copper = Material(material_name="copper").neutronics_material
mats = openmc.Materials([breeder_material, SS316, copper])
mats.export_to_xml("materials.xml")
# GEOMETRY#
first_wall_inner_surface = openmc.Sphere(r=inner_radius)
first_wall_outer_surface = openmc.Sphere(r=inner_radius +
firstwall_thickness)
breeder_blanket_outer_surface = openmc.Sphere(
r=inner_radius + firstwall_thickness + blanket_thickness)
vessel_outer_surface = openmc.Sphere(r=inner_radius + firstwall_thickness +
blanket_thickness + 10.,
boundary_type="vacuum")
inner_void_region = -first_wall_inner_surface
inner_void_cell = openmc.Cell(region=inner_void_region)
inner_void_cell.name = "inner_void"
first_wall_region = (-first_wall_outer_surface & +first_wall_inner_surface)
first_wall_cell = openmc.Cell(region=first_wall_region)
first_wall_cell.fill = SS316
breeder_blanket_region = (+first_wall_outer_surface
& -breeder_blanket_outer_surface)
breeder_blanket_cell = openmc.Cell(region=breeder_blanket_region)
breeder_blanket_cell.fill = breeder_material
vessel_region = +breeder_blanket_outer_surface & -vessel_outer_surface
vessel_cell = openmc.Cell(region=vessel_region)
vessel_cell.name = "vessel"
vessel_cell.fill = SS316
universe = openmc.Universe(cells=[
inner_void_cell, first_wall_cell, breeder_blanket_cell, vessel_cell
])
geom = openmc.Geometry(universe)
# SIMULATION SETTINGS#
sett = openmc.Settings()
sett.batches = 2 # this is minimum number of batches that will be run
sett.trigger_active = True
sett.trigger_max_batches = 2000 # this is maximum number of batches that will be run
sett.inactive = 0
sett.particles = 1000
sett.run_mode = "fixed source"
source = openmc.Source()
source.space = openmc.stats.Point((150, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Discrete([14.08e6], [1])
sett.source = source
# sett.export_to_xml("settings.xml")
# tally filters
particle_filter = openmc.ParticleFilter("neutron")
cell_filter_breeder = openmc.CellFilter(breeder_blanket_cell)
# TALLIES#
tallies = openmc.Tallies()
tally = openmc.Tally(name="TBR")
tally.filters = [cell_filter_breeder, particle_filter]
tally.scores = ["(n,Xt)"]
tally.triggers = [
openmc.Trigger(trigger_type='rel_err', threshold=threshold)
] # This stops the simulation if the threshold is meet
tallies.append(tally)
# RUN OPENMC #
model = openmc.model.Model(geom, mats, sett, tallies)
sp_filename = model.run(output=False)
# RETRIEVING TALLY RESULTS
sp = openmc.StatePoint(sp_filename)
json_output = {
"enrichment": enrichment,
"inner_radius": inner_radius,
"firstwall_thickness": firstwall_thickness,
"blanket_thickness": blanket_thickness,
"breeder_material_name": breeder_material_name,
"temperature_in_C": temperature_in_C,
}
tally = sp.get_tally(name="TBR")
df = tally.get_pandas_dataframe()
json_output["TBR"] = df["mean"].sum()
json_output["TBR_std_dev"] = df["std. dev."].sum()
os.system('rm *.h5')
return json_output
sett.batches = batches
sett.inactive = 0
sett.particles = 50
sett.run_mode = 'fixed source'
# Create a DT point source
source = openmc.Source()
source.space = openmc.stats.Point((300, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Discrete([14e6], [1])
sett.source = source
tallies = openmc.Tallies()
#added a cell tally for tritium production
cell_filter = openmc.CellFilter(breeder_blanket_cell)
tbr_tally = openmc.Tally(2, name='TBR')
tbr_tally.filters = [cell_filter]
tbr_tally.scores = [
'205'
] # MT 205 is the (n,Xt) reaction where X is a wildcard, if MT 105 or (n,t) then some tritium production will be missed, for example (n,nt) which happens in Li7 would be missed
tallies.append(tbr_tally)
# Run OpenMC!
model = openmc.model.Model(geom, mats, sett, tallies)
model.run()
# open the results file
sp = openmc.StatePoint('statepoint.' + str(batches) + '.h5')
# access the tally
def pincellfunction(pitch, enrichment):
settings = openmc.Settings()
# Set high tolerance to allow use of lower temperature xs
settings.temperature['tolerance'] = 10000
settings.temperature['method'] = 'nearest'
settings.temperature['multipole'] = True
settings.cutoff = {'energy': 1e-8} #energy cutoff in eV
#############################
### MATERIALS ###
#############################
uo2 = openmc.Material(1, "uo2")
uo2.add_element('U', 1.0, enrichment=enrichment)
uo2.add_element('O', 2.0)
uo2.set_density('g/cm3', 10.97)
uo2.temperature = 900 #kelvin
graphite = openmc.Material(2, "graphite")
graphite.set_density('g/cm3', 1.1995)
graphite.add_element('C', 1.0)
graphite.add_s_alpha_beta('c_Graphite')
graphite.temperature = 600 #kelvin
mats = openmc.Materials([uo2, graphite])
mats.export_to_xml()
#############################
### GEOMETRY ###
#############################
universe = openmc.Universe()
fuel_or = openmc.ZCylinder(R=0.5)
fuel_region = -fuel_or
fuel_cell = openmc.Cell(1, 'fuel')
fuel_cell.fill = uo2
fuel_cell.region = fuel_region
box = openmc.get_rectangular_prism(width=pitch,
height=pitch,
boundary_type='reflective')
water_region = box & +fuel_or
moderator = openmc.Cell(2, 'moderator')
moderator.fill = graphite
moderator.region = water_region
root = openmc.Universe(cells=(fuel_cell, moderator))
geom = openmc.Geometry(root)
geom.export_to_xml()
#####################################
### SOURCE/BATCHES ###
#####################################
point = openmc.stats.Point((0, 0, 0))
src = openmc.Source(space=point)
settings.source = src
settings.batches = 100
settings.inactive = 10
settings.particles = 1000
settings.export_to_xml()
#############################
### TALLIES ###
#############################
# Instantiate an empty Tallies object
tallies_file = openmc.Tallies()
# K-Eigenvalue (infinity) tallies
fiss_rate = openmc.Tally(name='fiss. rate')
fiss_rate.scores = ['nu-fission']
tallies_file.append(fiss_rate)
abs_rate = openmc.Tally(name='abs. rate')
abs_rate.scores = ['absorption']
tallies_file.append(abs_rate)
# Resonance Escape Probability tallies
therm_abs_rate = openmc.Tally(name='therm. abs. rate')
therm_abs_rate.scores = ['absorption']
therm_abs_rate.filters = [openmc.EnergyFilter([0., 0.625])]
tallies_file.append(therm_abs_rate)
# Thermal Flux Utilization tallies
fuel_therm_abs_rate = openmc.Tally(name='fuel therm. abs. rate')
fuel_therm_abs_rate.scores = ['absorption']
fuel_therm_abs_rate.filters = [
openmc.EnergyFilter([0., 0.625]),
openmc.CellFilter([fuel_cell])
]
tallies_file.append(fuel_therm_abs_rate)
# Fast Fission Factor tallies
therm_fiss_rate = openmc.Tally(name='therm. fiss. rate')
therm_fiss_rate.scores = ['nu-fission']
therm_fiss_rate.filters = [openmc.EnergyFilter([0., 0.625])]
tallies_file.append(therm_fiss_rate)
tallies_file.export_to_xml()
#############################
### PLOTTING ###
#############################
p = openmc.Plot()
p.filename = 'pinplot'
p.width = (pitch, pitch)
p.pixels = (200, 200)
p.color_by = 'material'
p.colors = {uo2: 'yellow', graphite: 'grey'}
plots = openmc.Plots([p])
plots.export_to_xml()
openmc.plot_geometry(output=False)
pngstring = 'pinplot{}.png'.format(str(pitch))
subprocess.call(['convert', 'pinplot.ppm', pngstring])
subprocess.call(['mv', pngstring, 'figures/' + pngstring])
#############################
### EXECUTION ###
#############################
openmc.run(output=False)
sp = openmc.StatePoint('statepoint.{}.h5'.format(settings.batches))
# Collect all the tallies
fiss_rate = sp.get_tally(name='fiss. rate')
fiss_rate_df = fiss_rate.get_pandas_dataframe()
abs_rate = sp.get_tally(name='abs. rate')
abs_rate_df = abs_rate.get_pandas_dataframe()
therm_abs_rate = sp.get_tally(name='therm. abs. rate')
therm_abs_rate_df = therm_abs_rate.get_pandas_dataframe()
fuel_therm_abs_rate = sp.get_tally(name='fuel therm. abs. rate')
fuel_therm_abs_rate_df = fuel_therm_abs_rate.get_pandas_dataframe()
therm_fiss_rate = sp.get_tally(name='therm. fiss. rate')
therm_fiss_rate_df = therm_fiss_rate.get_pandas_dataframe()
# Compute k-infinity
kinf = fiss_rate / abs_rate
kinf_df = kinf.get_pandas_dataframe()
# Compute resonance escape probability
res_esc = (therm_abs_rate) / (abs_rate)
res_esc_df = res_esc.get_pandas_dataframe()
# Compute fast fission factor
fast_fiss = fiss_rate / therm_fiss_rate
fast_fiss_df = fast_fiss.get_pandas_dataframe()
# Compute thermal flux utilization
therm_util = fuel_therm_abs_rate / therm_abs_rate
therm_util_df = therm_util.get_pandas_dataframe()
# Compute neutrons produced per absorption
eta = therm_fiss_rate / fuel_therm_abs_rate
eta_df = eta.get_pandas_dataframe()
columns = [
'pitch', 'enrichment', 'kinf mean', 'kinf sd', 'res_esc mean',
'res_esc sd', 'fast_fiss mean', 'fast_fiss sd', 'therm_util mean',
'therm_util sd', 'eta mean', 'eta sd'
]
data = [[
pitch, enrichment, kinf_df['mean'][0], kinf_df['std. dev.'][0],
res_esc_df['mean'][0], res_esc_df['std. dev.'][0],
fast_fiss_df['mean'][0], fast_fiss_df['std. dev.'][0],
therm_util_df['mean'][0], therm_util_df['std. dev.'][0],
eta_df['mean'][0], eta_df['std. dev.'][0]
]]
all_tallies = pd.DataFrame(data, columns=columns)
return all_tallies
def make_materials_geometry_tallies(enrichment):
# MATERIALS#
breeder_material = openmc.Material(name="breeder_material") # Pb84.2Li15.8
breeder_material.add_element('Pb', 84.2, percent_type='ao')
breeder_material.add_element(
'Li',
15.8,
percent_type='ao',
enrichment=enrichment,
enrichment_target='Li6',
enrichment_type='ao') # enrichment defined by function call
breeder_material.set_density('atom/b-cm', 3.2720171e-2) # around 11 g/cm3
copper = openmc.Material(name='copper')
copper.set_density('g/cm3', 8.5)
copper.add_element('Cu', 1.0)
eurofer = openmc.Material(name='eurofer')
eurofer.set_density('g/cm3', 7.75)
eurofer.add_element('Fe', 89.067, percent_type='wo')
eurofer.add_element('C', 0.11, percent_type='wo')
eurofer.add_element('Mn', 0.4, percent_type='wo')
eurofer.add_element('Cr', 9.0, percent_type='wo')
eurofer.add_element('Ta', 0.12, percent_type='wo')
eurofer.add_element('W', 1.1, percent_type='wo')
eurofer.add_element('N', 0.003, percent_type='wo')
eurofer.add_element('V', 0.2, percent_type='wo')
mats = openmc.Materials([breeder_material, eurofer, copper])
# GEOMETRY
central_sol_surface = openmc.ZCylinder(r=100)
central_shield_outer_surface = openmc.ZCylinder(r=110)
vessel_inner = openmc.Sphere(r=500)
first_wall_outer_surface = openmc.Sphere(r=510)
breeder_blanket_outer_surface = openmc.Sphere(r=610,
boundary_type='vacuum')
central_sol_region = -central_sol_surface & -vessel_inner
central_sol_cell = openmc.Cell(region=central_sol_region)
central_sol_cell.fill = copper
central_shield_region = +central_sol_surface & -central_shield_outer_surface & -vessel_inner
central_shield_cell = openmc.Cell(region=central_shield_region)
central_shield_cell.fill = eurofer
inner_vessel_region = -vessel_inner & +central_shield_outer_surface
inner_vessel_cell = openmc.Cell(region=inner_vessel_region)
first_wall_region = -first_wall_outer_surface & +vessel_inner
first_wall_cell = openmc.Cell(region=first_wall_region)
first_wall_cell.fill = eurofer
breeder_blanket_region = +first_wall_outer_surface & -breeder_blanket_outer_surface
breeder_blanket_cell = openmc.Cell(region=breeder_blanket_region)
breeder_blanket_cell.fill = breeder_material
breeder_blanket_cell.name = 'breeder_blanket'
universe = openmc.Universe(cells=[
central_sol_cell, central_shield_cell, inner_vessel_cell,
first_wall_cell, breeder_blanket_cell
])
geom = openmc.Geometry(universe)
# SIMULATION SETTINGS
sett = openmc.Settings()
batches = 3
sett.batches = batches
sett.inactive = 0
sett.particles = 5000
sett.run_mode = 'fixed source'
source = openmc.Source()
source.space = openmc.stats.Point((350, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Discrete([14e6], [1])
sett.source = source
# TALLIES
tallies = openmc.Tallies()
cell_filter = openmc.CellFilter(breeder_blanket_cell)
tbr_tally = openmc.Tally(2, name='TBR')
tbr_tally.filters = [cell_filter]
tbr_tally.scores = [
'(n,Xt)'
] # MT 205 is the (n,Xt) reaction where X is a wildcard, if MT 105 or (n,t) then some tritium production will be missed, for example (n,nt) which happens in Li7 would be missed
tallies.append(tbr_tally)
# RUN OPENMC
model = openmc.model.Model(geom, mats, sett, tallies)
model.run()
sp = openmc.StatePoint('statepoint.' + str(batches) + '.h5')
tbr_tally = sp.get_tally(name='TBR')
df = tbr_tally.get_pandas_dataframe()
tbr_tally_result = df['mean'].sum()
tbr_tally_std_dev = df['std. dev.'].sum()
return {
'enrichment': enrichment,
'tbr_tally_result': tbr_tally_result,
'tbr_tally_std_dev': tbr_tally_std_dev
}
def make_materials_geometry_tallies(v):
enrichment_fraction_list, thickness = v
batches = 2
inner_radius = 500
breeder_material_name = 'Li'
temperature_in_C = 500
if isinstance(enrichment_fraction_list, list):
enrichment_fraction = enrichment_fraction_list[0]
else:
enrichment_fraction = enrichment_fraction_list
print('simulating ', batches, enrichment_fraction, inner_radius, thickness,
breeder_material_name)
#MATERIALS#
breeder_material = make_breeder_material(enrichment_fraction,
breeder_material_name,
temperature_in_C)
eurofer = make_eurofer()
mats = openmc.Materials([breeder_material, eurofer])
#GEOMETRY#
breeder_blanket_inner_surface = openmc.Sphere(r=inner_radius)
breeder_blanket_outer_surface = openmc.Sphere(r=inner_radius + thickness)
vessel_inner_surface = openmc.Sphere(r=inner_radius + thickness + 10)
vessel_outer_surface = openmc.Sphere(r=inner_radius + thickness + 20,
boundary_type='vacuum')
breeder_blanket_region = -breeder_blanket_outer_surface & +breeder_blanket_inner_surface
breeder_blanket_cell = openmc.Cell(region=breeder_blanket_region)
breeder_blanket_cell.fill = breeder_material
breeder_blanket_cell.name = 'breeder_blanket'
inner_void_region = -breeder_blanket_inner_surface
inner_void_cell = openmc.Cell(region=inner_void_region)
inner_void_cell.name = 'inner_void'
vessel_region = +vessel_inner_surface & -vessel_outer_surface
vessel_cell = openmc.Cell(region=vessel_region)
vessel_cell.name = 'vessel'
vessel_cell.fill = eurofer
blanket_vessel_gap_region = -vessel_inner_surface & +breeder_blanket_outer_surface
blanket_vessel_gap_cell = openmc.Cell(region=blanket_vessel_gap_region)
blanket_vessel_gap_cell.name = 'blanket_vessel_gap'
universe = openmc.Universe(cells=[
inner_void_cell, breeder_blanket_cell, blanket_vessel_gap_cell,
vessel_cell
])
geom = openmc.Geometry(universe)
#SIMULATION SETTINGS#
sett = openmc.Settings()
# batches = 3 # this is parsed as an argument
sett.batches = batches
sett.inactive = 10
sett.particles = 500
sett.run_mode = 'fixed source'
source = openmc.Source()
source.space = openmc.stats.Point((0, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Muir(
e0=14080000.0, m_rat=5.0, kt=20000.0
) #neutron energy = 14.08MeV, AMU for D + T = 5, temperature is 20KeV
sett.source = source
#TALLIES#
tallies = openmc.Tallies()
# define filters
cell_filter_breeder = openmc.CellFilter(breeder_blanket_cell)
cell_filter_vessel = openmc.CellFilter(vessel_cell)
particle_filter = openmc.ParticleFilter([1]) #1 is neutron, 2 is photon
surface_filter_rear_blanket = openmc.SurfaceFilter(
breeder_blanket_outer_surface)
surface_filter_rear_vessel = openmc.SurfaceFilter(vessel_outer_surface)
energy_bins = openmc.mgxs.GROUP_STRUCTURES['VITAMIN-J-175']
energy_filter = openmc.EnergyFilter(energy_bins)
tally = openmc.Tally(name='TBR')
tally.filters = [cell_filter_breeder, particle_filter]
tally.scores = [
'205'
] # MT 205 is the (n,Xt) reaction where X is a wildcard, if MT 105 or (n,t) then some tritium production will be missed, for example (n,nt) which happens in Li7 would be missed
tallies.append(tally)
tally = openmc.Tally(name='blanket_leakage')
tally.filters = [surface_filter_rear_blanket, particle_filter]
tally.scores = ['current']
tallies.append(tally)
tally = openmc.Tally(name='vessel_leakage')
tally.filters = [surface_filter_rear_vessel, particle_filter]
tally.scores = ['current']
tallies.append(tally)
tally = openmc.Tally(name='breeder_blanket_spectra')
tally.filters = [cell_filter_breeder, particle_filter, energy_filter]
tally.scores = ['flux']
tallies.append(tally)
tally = openmc.Tally(name='vacuum_vessel_spectra')
tally.filters = [cell_filter_vessel, particle_filter, energy_filter]
tally.scores = ['flux']
tallies.append(tally)
tally = openmc.Tally(name='DPA')
tally.filters = [cell_filter_vessel, particle_filter]
tally.scores = ['444']
tallies.append(tally)
#RUN OPENMC #
model = openmc.model.Model(geom, mats, sett, tallies)
model.run()
sp = openmc.StatePoint('statepoint.' + str(batches) + '.h5')
json_output = {
'enrichment_fraction': enrichment_fraction,
'inner_radius': inner_radius,
'thickness': thickness,
'breeder_material_name': breeder_material_name,
'temperature_in_C': temperature_in_C
}
tallies_to_retrieve = ['TBR', 'DPA', 'blanket_leakage', 'vessel_leakage']
for tally_name in tallies_to_retrieve:
tally = sp.get_tally(name=tally_name)
df = tally.get_pandas_dataframe()
tally_result = df['mean'].sum()
tally_std_dev = df['std. dev.'].sum()
json_output[tally_name] = {
'value': tally_result,
'std_dev': tally_std_dev
}
spectra_tallies_to_retrieve = [
'breeder_blanket_spectra', 'vacuum_vessel_spectra'
]
for spectra_name in spectra_tallies_to_retrieve:
spectra_tally = sp.get_tally(name=spectra_name)
spectra_tally_result = [entry[0][0] for entry in spectra_tally.mean]
spectra_tally_std_dev = [
entry[0][0] for entry in spectra_tally.std_dev
]
json_output[spectra_name] = {
'value': spectra_tally_result,
'std_dev': spectra_tally_std_dev,
'energy_groups': list(energy_bins)
}
return json_output
mgxs_lib = openmc.mgxs.Library(geometry)
mgxs_lib.energy_groups = openmc.mgxs.EnergyGroups(groups)
mgxs_lib.correction = None
mgxs_lib.mgxs_types = ('total','absorption','nu-fission',\
'fission','consistent nu-scatter matrix','chi')
mgxs_lib.domain_type = 'cell'
mgxs_lib.domains = geometry.get_all_material_cells().values()
mgxs_lib.build_library()
tallies = openmc.Tallies()
mgxs_lib.add_to_tallies_file(tallies)
flux_tally = openmc.Tally(name='flux')
energy_filter = openmc.EnergyFilter(groups)
flux_tally.filters = [
openmc.CellFilter(mCells + fCells),
openmc.EnergyFilter(groups)
]
#flux_tally.scores = ['flux','nu-fission']
flux_tally.scores = ['flux']
tallies.append(flux_tally)
###############################################################################
###############################################################################
# Extract all Cells filled by Materials
openmc_cells = geometry.get_all_material_cells().values()
# Create dictionary to store multi-group cross sections for all cells
xs_library = {}
# Instantiate 8-group cross sections for each cell
def make_materials_geometry_tallies(v):
enrichment_fraction, thickness = v
inner_radius = 500
breeder_material_name = 'Li'
temperature_in_C = 500
print('simulating enrichment,', enrichment_fraction, 'thickness ',
thickness)
# MATERIALS from library of materials in neutronics_material_maker package
breeder_material = Material(
material_name=breeder_material_name,
enrichment_fraction=enrichment_fraction,
temperature_in_C=temperature_in_C).neutronics_material
eurofer = Material(material_name='eurofer').neutronics_material
mats = openmc.Materials([breeder_material, eurofer])
# GEOMETRY
breeder_blanket_inner_surface = openmc.Sphere(r=inner_radius)
breeder_blanket_outer_surface = openmc.Sphere(r=inner_radius + thickness)
vessel_inner_surface = openmc.Sphere(r=inner_radius + thickness + 10)
vessel_outer_surface = openmc.Sphere(r=inner_radius + thickness + 20,
boundary_type='vacuum')
breeder_blanket_region = -breeder_blanket_outer_surface & +breeder_blanket_inner_surface
breeder_blanket_cell = openmc.Cell(region=breeder_blanket_region)
breeder_blanket_cell.fill = breeder_material
breeder_blanket_cell.name = 'breeder_blanket'
inner_void_region = -breeder_blanket_inner_surface
inner_void_cell = openmc.Cell(region=inner_void_region)
inner_void_cell.name = 'inner_void'
vessel_region = +vessel_inner_surface & -vessel_outer_surface
vessel_cell = openmc.Cell(region=vessel_region)
vessel_cell.name = 'vessel'
vessel_cell.fill = eurofer
blanket_vessel_gap_region = -vessel_inner_surface & +breeder_blanket_outer_surface
blanket_vessel_gap_cell = openmc.Cell(region=blanket_vessel_gap_region)
blanket_vessel_gap_cell.name = 'blanket_vessel_gap'
universe = openmc.Universe(cells=[
inner_void_cell, breeder_blanket_cell, blanket_vessel_gap_cell,
vessel_cell
])
geom = openmc.Geometry(universe)
# SIMULATION SETTINGS
sett = openmc.Settings()
# batches = 3 # this is parsed as an argument
sett.batches = batches
sett.inactive = 0
sett.particles = 500
sett.run_mode = 'fixed source'
source = openmc.Source()
source.space = openmc.stats.Point((0, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Muir(
e0=14080000.0, m_rat=5.0, kt=20000.0
) # neutron energy = 14.08MeV, AMU for D + T = 5, temperature is 20KeV
sett.source = source
# TALLIES
tallies = openmc.Tallies()
# define filters
cell_filter_breeder = openmc.CellFilter(breeder_blanket_cell)
cell_filter_vessel = openmc.CellFilter(vessel_cell)
particle_filter = openmc.ParticleFilter([1]) # 1 is neutron, 2 is photon
surface_filter_rear_blanket = openmc.SurfaceFilter(
breeder_blanket_outer_surface)
surface_filter_rear_vessel = openmc.SurfaceFilter(vessel_outer_surface)
energy_bins = openmc.mgxs.GROUP_STRUCTURES['VITAMIN-J-175']
energy_filter = openmc.EnergyFilter(energy_bins)
tally = openmc.Tally(name='TBR')
tally.filters = [cell_filter_breeder, particle_filter]
tally.scores = [
'(n,Xt)'
] # MT 205 is the (n,Xt) reaction where X is a wildcard, if MT 105 or (n,t) then some tritium production will be missed, for example (n,nt) which happens in Li7 would be missed
tallies.append(tally)
# RUN OPENMC
model = openmc.model.Model(geom, mats, sett, tallies)
model.run()
sp = openmc.StatePoint('statepoint.' + str(batches) + '.h5')
json_output = {
'enrichment_fraction': enrichment_fraction,
'inner_radius': inner_radius,
'thickness': thickness,
'breeder_material_name': breeder_material_name,
'temperature_in_C': temperature_in_C
}
tally = sp.get_tally(name='TBR')
df = tally.get_pandas_dataframe()
json_output['TBR'] = df['mean'].sum()
json_output['TBR_std_dev'] = df['std. dev.'].sum()
return json_output
def generate_model(sol_temp=303., sol_conc=0.299, U_enrch=0.1467, cr_wd=0.1):
sol_atom_densities = BoilerAtomDensities(enrich=U_enrch,
temp=sol_temp,
conc=sol_conc)
sol = openmc.Material(name='sol')
sol.add_element('H', sol_atom_densities['H'], percent_type='ao')
sol.add_element('O', sol_atom_densities['O'], percent_type='ao')
sol.add_element('S', sol_atom_densities['S'], percent_type='ao')
sol.add_nuclide('U234', sol_atom_densities['U234'], percent_type='ao')
sol.add_nuclide('U235', sol_atom_densities['U235'], percent_type='ao')
sol.add_nuclide('U238', sol_atom_densities['U238'], percent_type='ao')
sol.add_s_alpha_beta('c_H_in_H2O')
ad_tot = 0.
for key in sol_atom_densities:
ad_tot += sol_atom_densities[key]
sol.set_density('atom/b-cm', ad_tot)
brass = openmc.Material(name='brass')
brass.add_element('Fe', 0.001002)
brass.add_element('Cu', 0.674918)
brass.add_element('Zn', 0.320956)
brass.add_element('Sn', 0.001451)
brass.add_element('Pb', 0.001673)
brass.set_density('g/cc', 8.070)
cadmium = openmc.Material(name='cadmium')
cadmium.add_element('Cd', 1.0)
cadmium.set_density('g/cc', 8.65)
shell = openmc.Material(name='shell')
shell.add_element('C', 0.003659)
shell.add_element('Si', 0.019559)
shell.add_element('P', 0.000798)
shell.add_element('S', 0.000514)
shell.add_element('Cr', 0.179602)
shell.add_element('Mn', 0.019998)
shell.add_element('Fe', 0.669338)
shell.add_element('Ni', 0.102952)
shell.add_element('Nb', 0.002365)
shell.add_element('Ta', 0.001214)
shell.set_density('g/cc', 8.0)
beryl_ref = openmc.Material(name='beryl_ref')
beryl_ref.add_element('O', 6.6210e-2)
beryl_ref.add_element('Be', 6.6210e-2)
beryl_ref.add_element('B', 3.0637e-7)
beryl_ref.add_element('Co', 5.6202e-7)
beryl_ref.add_element('Ag', 3.0706e-8)
beryl_ref.add_element('Cd', 7.3662e-8)
beryl_ref.add_element('In', 1.4423e-8)
beryl_ref.add_s_alpha_beta('c_Be_in_BeO')
beryl_ref.set_density('g/cc', 2.75)
grph = openmc.Material(name='grph')
grph.add_element('C', 0.999999)
grph.add_element('B', 0.000001)
grph.set_density('g/cc', 1.7)
grph.add_s_alpha_beta('c_Graphite')
air = openmc.Material(name='air')
air.add_element('C', 0.000150)
air.add_element('N', 0.784431)
air.add_element('O', 0.210748)
air.add_element('Ar', 0.004671)
air.set_density('g/cc', 0.001205)
materials = openmc.Materials(
[sol, shell, beryl_ref, grph, air, brass, cadmium])
rx_origin = [0., 76.3214, 0.]
ref_sphere = openmc.Sphere(y0=rx_origin[1], r=47.4210)
tank_o = openmc.Sphere(y0=rx_origin[1], r=15.3614)
tank_i = openmc.Sphere(y0=rx_origin[1], r=15.282)
graph_base_cyl = openmc.YCylinder(r=47.4210)
#fill_drain_cav = openmc.YCylinder(r=4.445/2.);
fill_drain_o = openmc.YCylinder(r=2.06375)
fill_drain_i = openmc.YCylinder(r=1.905)
plate_plane = openmc.YPlane(y0=0.)
base_plane = openmc.YPlane(y0=34.4114)
sphere_center_plane = openmc.YPlane(y0=rx_origin[1])
upper_plane = openmc.YPlane(y0=118.2314)
bbox = openmc.model.RightCircularCylinder([0., -10., 0.],
230.,
60.,
axis='y',
boundary_type='vacuum')
# surfaces for the control rod
rod_channel_bottom = 118.2314 - 76.20
cr_cyl = openmc.YCylinder(x0=-18.891, z0=0., r=1.42875)
cr_cyl_bottom = openmc.YPlane(y0=rod_channel_bottom)
# surfaces for the safety rod
sr_right = openmc.XPlane(x0=17.3664)
sr_left = openmc.XPlane(x0=15.4614)
sr_front = openmc.ZPlane(z0=7.62 / 2.)
sr_back = openmc.ZPlane(z0=-7.62 / 2.)
# top plane for cr/sr
rod_channel_top = openmc.YPlane(y0=200.)
rod_length = 76.20
#sr_wd = 76.20;# cm, distance from fully inserted
cr_bottom = openmc.YPlane(y0=(rod_channel_bottom + cr_wd))
cr_top = openmc.YPlane(y0=(rod_channel_bottom + cr_wd + rod_length))
#sr_bottom = openmc.YPlane(y0=(rod_channel_bottom+sr_wd));
#sr_top = openmc.YPlane(y0=(rod_channel_bottom+sr_wd+rod_length));
cr_brass_o = openmc.YCylinder(x0=-18.891, z0=0., r=0.9525)
cr_brass_i = openmc.YCylinder(x0=-18.891, z0=0., r=0.7000)
cr_cd_o = openmc.YCylinder(x0=-18.891, z0=0.0, r=1.03375)
core = openmc.Cell()
core.fill = sol
core.region = (-tank_i) | (-fill_drain_i) & -bbox
steel_tank_and_pipe = openmc.Cell()
steel_tank_and_pipe.fill = shell
#steel_tank_and_pipe.region = (+tank_i & -tank_o & ~(-fill_drain_i)) | \
# (+fill_drain_i & -fill_drain_o & +tank_i) & -bbox
steel_tank_and_pipe.region = (+tank_i & -tank_o & ~(-fill_drain_i)) | \
(+fill_drain_i & -fill_drain_o & +tank_i) & -bbox
# make a universe for the control rod
cr_brass = openmc.Cell()
cr_brass.fill = brass
cr_brass.region = +cr_brass_i & -cr_brass_o & +cr_bottom & -cr_top
cr_cd = openmc.Cell()
cr_cd.fill = cadmium
cr_cd.region = +cr_brass_o & -cr_cd_o & +cr_bottom & -cr_top
cr_air = openmc.Cell()
cr_air.fill = air
cr_air.region = +cr_cyl_bottom & -rod_channel_top & -cr_cyl & ~cr_cd.region & ~cr_brass.region
cr_univ = openmc.Universe()
cr_univ.add_cells([cr_brass, cr_cd, cr_air])
cr = openmc.Cell()
cr.fill = cr_univ
cr.region = -cr_cyl & +cr_cyl_bottom & -rod_channel_top
sr = openmc.Cell()
sr.fill = air
sr.region = +sr_left & -sr_right & +cr_cyl_bottom & -upper_plane & -sr_front & +sr_back
ref = openmc.Cell()
ref.fill = beryl_ref
ref.region = ((+tank_o & +fill_drain_o) & -ref_sphere & +base_plane
& -upper_plane) & ~cr.region & ~sr.region
outside = openmc.Cell()
outside.fill = air
outside.region = -bbox & (+graph_base_cyl | (+ref_sphere & -upper_plane) |
(+upper_plane & +fill_drain_o & ~cr.region))
graph_base = openmc.Cell()
graph_base.fill = grph
graph_base.region = (
(-graph_base_cyl & +plate_plane & -base_plane & +fill_drain_o) |
(-graph_base_cyl & +ref_sphere & +base_plane & -sphere_center_plane))
root = openmc.Universe()
root.add_cells(
[graph_base, ref, core, steel_tank_and_pipe, outside, cr, sr])
geometry = openmc.Geometry()
geometry.root_universe = root
cell_filter = openmc.CellFilter(core)
N = 1001
energy_bins = np.logspace(-3, 7, num=N)
energy_filter = openmc.EnergyFilter(values=energy_bins)
abs_core = openmc.Tally(name='abs_core')
abs_core.scores = ['absorption']
abs_core.filters = [cell_filter, energy_filter]
fission = openmc.Tally(name='fission')
fission.scores = ['fission']
fission.filters = [cell_filter, energy_filter]
fission_by_nuclide = openmc.Tally(name='fission_by_nuclide')
fission_by_nuclide.scores = ['fission']
fission_by_nuclide.nuclides = ['U234', 'U235', 'U238']
fission_by_nuclide.filters = [cell_filter, energy_filter]
capture = openmc.Tally(name='capture')
capture.scores = ['(n,gamma)']
capture.filters = [cell_filter, energy_filter]
capture_by_nuclide = openmc.Tally(name='capture_by_nuclide')
capture_by_nuclide.scores = ['(n,gamma)']
capture_by_nuclide.nuclides = ['U234', 'U238', 'H1', 'O16', 'S32']
capture_by_nuclide.filters = [cell_filter, energy_filter]
flux = openmc.Tally(name='flux')
flux.scores = ['flux']
flux.filters = [cell_filter, energy_filter]
tallies = openmc.Tallies([
abs_core, flux, fission, capture, fission_by_nuclide,
capture_by_nuclide
])
settings = openmc.Settings()
settings.batches = 100
settings.inactive = 20
settings.particles = 5000
R = 15.
y_org = 76.3214
bounds = [-R, -R + y_org, -R, R, R + y_org, R]
uniform_dist = openmc.stats.Box(bounds[:3],
bounds[3:],
only_fissionable=True)
settings.source = openmc.source.Source(space=uniform_dist)
#settings.temperature['method']='interpolation';
return materials, geometry, tallies, settings
sett.batches = batches
sett.inactive = 1
sett.particles = 5000
sett.run_mode = 'fixed source'
# Create a DT point source
source = openmc.Source()
source.space = openmc.stats.Point((300, 0, 0))
source.angle = openmc.stats.Isotropic()
source.energy = openmc.stats.Discrete([14e6], [1])
sett.source = source
tallies = openmc.Tallies()
#added a cell tally for tritium production
cell_filter = openmc.CellFilter(central_shield_cell)
reaction_tally = openmc.Tally(2, name='DPA')
reaction_tally.filters = [cell_filter]
reaction_tally.scores = ['444']
tallies.append(reaction_tally)
# Run OpenMC!
model = openmc.model.Model(geom, mats, sett, tallies)
model.run()
# open the results file
sp = openmc.StatePoint('statepoint.' + str(batches) + '.h5')
# access the tally
tally = sp.get_tally(name='DPA')
tally_result = tally.sum[0][0][
def make_materials_geometry_tallies(
enrichment_fractions, breeder_material_name, temperature_in_C, batches,
nps, include_first_wall,
seed): #thickness fixed to 100cm and inner radius to 500cm
os.system('rm *.h5')
os.system('rm *.xml')
print('simulating ', ' batches =', batches, 'seed = ', seed, 'nps', nps,
'enrichment_fractions', enrichment_fractions, 'inner radius = 500',
'thickness = 100 breeder_material_name =', breeder_material_name)
number_of_materials = len(enrichment_fractions)
print(enrichment_fractions)
#MATERIALS#
list_of_breeder_materials = []
for counter, e in enumerate(enrichment_fractions):
breeder_material = make_breeder_material(e, breeder_material_name,
temperature_in_C, counter + 3)
list_of_breeder_materials.append(breeder_material)
print('len(list_of_breeder_materials)', len(list_of_breeder_materials))
mats = openmc.Materials(list_of_breeder_materials)
eurofer = make_eurofer()
mats.append(eurofer)
mats.export_to_xml()
# #GEOMETRY#
list_of_breeder_blanket_region = []
list_of_breeder_blanket_cell = []
if include_first_wall == True:
breeder_blanket_inner_surface_wall = openmc.Sphere(
r=498) #inner radius
first_wall_outer_surface = openmc.Sphere(r=500)
inner_void_region_wall = -breeder_blanket_inner_surface_wall #inner radius
inner_void_cell_wall = openmc.Cell(region=inner_void_region_wall)
inner_void_cell_wall.name = 'inner_void'
first_wall_region = -first_wall_outer_surface & +breeder_blanket_inner_surface_wall
first_wall_cell = openmc.Cell(region=first_wall_region)
first_wall_cell.name = 'first_wall'
first_wall_cell.fill = eurofer
for k in range(1, number_of_materials + 1):
if k == number_of_materials:
breeder_blanket_outer_surface = openmc.Sphere(
r=500 + 100, boundary_type='vacuum')
else:
breeder_blanket_outer_surface = openmc.Sphere(
r=500 + k * (100 / number_of_materials)
) #inner radius + thickness of each breeder material
list_of_breeder_blanket_region.append(
-breeder_blanket_outer_surface & +first_wall_outer_surface)
breeder_cell = openmc.Cell(region=-breeder_blanket_outer_surface
& +first_wall_outer_surface)
breeder_cell.fill = list_of_breeder_materials[k - 1]
breeder_cell.name = 'breeder_blanket'
list_of_breeder_blanket_cell.append(breeder_cell)
if k != number_of_materials:
first_wall_outer_surface = breeder_blanket_outer_surface
cells = [inner_void_cell_wall, first_wall_cell
] + list_of_breeder_blanket_cell
else:
breeder_blanket_inner_surface_no_wall = openmc.Sphere(
r=500) #inner radius
inner_void_region_no_wall = -breeder_blanket_inner_surface_no_wall #inner radius
inner_void_cell_no_wall = openmc.Cell(region=inner_void_region_no_wall)
inner_void_cell_no_wall.name = 'inner_void'
for k in range(1, number_of_materials + 1):
if k == number_of_materials:
breeder_blanket_outer_surface = openmc.Sphere(
r=500 + 100, boundary_type='vacuum')
else:
breeder_blanket_outer_surface = openmc.Sphere(
r=500 + k * (100 / number_of_materials)
) #inner radius + thickness of each breeder material
list_of_breeder_blanket_region.append(
-breeder_blanket_outer_surface
& +breeder_blanket_inner_surface_no_wall)
breeder_cell = openmc.Cell(
region=-breeder_blanket_outer_surface
& +breeder_blanket_inner_surface_no_wall)
breeder_cell.fill = list_of_breeder_materials[k - 1]
breeder_cell.name = 'breeder_blanket'
list_of_breeder_blanket_cell.append(breeder_cell)
if k != number_of_materials:
breeder_blanket_inner_surface_common = breeder_blanket_outer_surface
cells = [inner_void_cell_no_wall] + list_of_breeder_blanket_cell
universe = openmc.Universe(cells=cells)
geom = openmc.Geometry(universe)
#openmc color by material
geom.export_to_xml()
# p = openmc.Plot()
# p.basis='xz'
# p.filename = 'plot'
# p.width = (1850, 1850) #hint, this might need to be increased to see the new large geometry
# p.pixels = (1400, 1400)
# p.color_by = 'material'
# #p.colors = {natural_lead: 'blue'}
# plots = openmc.Plots([p])
# plots.export_to_xml()
# openmc.plot_geometry()
# os.system('convert plot.ppm plot.png')
# os.system('eog plot.png')
# os.system('xdg-open plot.png')
#SIMULATION SETTINGS#
sett = openmc.Settings()
sett.batches = batches
sett.inactive = 0
sett.particles = nps
sett.seed = seed
sett.run_mode = 'fixed source'
source = openmc.Source()
#source.space = openmc.stats.Point((0,0,0))
#source.angle = openmc.stats.Isotropic()
#source.energy = openmc.stats.Muir(e0=14080000.0, m_rat=5.0, kt=20000.0) #neutron energy = 14.08MeV, AMU for D + T = 5, temperature is 20KeV
sett._source_library = 'parametric_plasma_source/source_sampling.so'
sett.source = source
#TALLIES#
tallies = openmc.Tallies()
cell_filter_breeder = openmc.CellFilter(list_of_breeder_blanket_cell)
tally = openmc.Tally(name='TBR')
tally.filters = [cell_filter_breeder]
tally.scores = ['205']
tallies.append(tally)
#RUN OPENMC #
model = openmc.model.Model(geom, mats, sett, tallies)
model.run()
sp = openmc.StatePoint('statepoint.' + str(batches) + '.h5')
tally = sp.get_tally(name='TBR')
tally_result = tally.get_values().sum()
var = 0
df = tally.get_pandas_dataframe()
for sigma in df['std. dev.']:
var += sigma**2 #independance which is considered between the different layers
tally_std_dev = (var)**(1 / 2)
if len(set(enrichment_fractions)) == 1:
graded = 'uniform'
else:
graded = 'graded'
json_output = {
'first_wall': include_first_wall,
'number_of_materials': len(enrichment_fractions),
'graded': graded,
'enrichment_value': enrichment_fractions,
'value': tally_result,
'std_dev': tally_std_dev,
'breeder_material_name': breeder_material_name,
'nps': nps
}
print(json_output)
return json_output
def hexfunction(pitch, pack_frac):
settings = openmc.Settings()
# Set high tolerance to allow use of lower temperature xs
settings.temperature['tolerance'] = 1000
settings.temperature['method'] = 'nearest'
settings.temperature['multipole'] = True
settings.cutoff = {'energy': 1e-8} #energy cutoff in eV
#############################
### MATERIALS ###
#############################
enrichment = 20.0
uo2 = openmc.Material(1, "uo2")
uo2.add_element('U', 1.0, enrichment=enrichment)
uo2.add_element('O', 2.0)
uo2.set_density('g/cm3', 10.97)
uo2.temperature = 900 #kelvin
graphite = openmc.Material(2, "graphite")
graphite.set_density('g/cm3', 1.1995)
graphite.add_element('C', 1.0)
graphite.add_s_alpha_beta('c_Graphite')
graphite.temperature = 900 #kelvin
sodium = openmc.Material(3, "sodium")
sodium.set_density('g/cm3', 0.8017) # 900 K
sodium.add_element('Na', 1.0)
# sodium.add_s_alpha_beta('c_Graphite')
sodium.temperature = 900 #kelvin
naoh = openmc.Material(6, "naoh")
naoh.set_density('g/cm3', 1.5) # 900 K
naoh.add_element('Na', 1.0)
naoh.add_element('O', 1.0)
naoh.add_element('H', 1.0)
# sodium.add_s_alpha_beta('c_Graphite')
naoh.temperature = 900 #kelvin
uo2 = openmc.Material(1, "uo2")
uo2.add_element('U', 1.0, enrichment=enrichment)
uo2.add_element('O', 2.0)
uo2.set_density('g/cm3', 10.97)
uo2.temperature = 900 #kelvin
fuel_temp = 900
homogeneous_fuel = build_fuel_material(4, fuel_temp, pack_frac)
mats = openmc.Materials([uo2, graphite, sodium, naoh, homogeneous_fuel])
mats.export_to_xml()
#############################
### GEOMETRY ###
#############################
universe = openmc.Universe()
coolant_cyl = openmc.ZCylinder(R=0.5)
coolant_region = -coolant_cyl
coolant_cell = openmc.Cell(1, 'coolant')
coolant_cell.fill = naoh
coolant_cell.region = coolant_region
hex_prism = openmc.get_hexagonal_prism(edge_length=pitch / (3**1 / 2),
boundary_type='reflective')
top = openmc.YPlane(y0=pitch)
bottom = openmc.YPlane(y0=-pitch)
fuel_region = hex_prism & -top & +bottom
fuel_cell = openmc.Cell(2, 'moderator')
fuel_cell.fill = homogeneous_fuel
fuel_cell.region = fuel_region
root = openmc.Universe(cells=(fuel_cell, coolant_cell))
geom = openmc.Geometry(root)
geom.export_to_xml()
#####################################
### SOURCE/BATCHES ###
#####################################
point = openmc.stats.Point((0, 0, 0))
src = openmc.Source(space=point)
settings.source = src
settings.batches = 50
settings.inactive = 10
settings.particles = 200
settings.export_to_xml()
#############################
### TALLIES ###
#############################
# Instantiate an empty Tallies object
tallies_file = openmc.Tallies()
# K-Eigenvalue (infinity) tallies
fiss_rate = openmc.Tally(name='fiss. rate')
fiss_rate.scores = ['nu-fission']
tallies_file.append(fiss_rate)
abs_rate = openmc.Tally(name='abs. rate')
abs_rate.scores = ['absorption']
tallies_file.append(abs_rate)
# Resonance Escape Probability tallies
therm_abs_rate = openmc.Tally(name='therm. abs. rate')
therm_abs_rate.scores = ['absorption']
therm_abs_rate.filters = [openmc.EnergyFilter([0., 0.625])]
tallies_file.append(therm_abs_rate)
# Thermal Flux Utilization tallies
fuel_therm_abs_rate = openmc.Tally(name='fuel therm. abs. rate')
fuel_therm_abs_rate.scores = ['absorption']
fuel_therm_abs_rate.filters = [
openmc.EnergyFilter([0., 0.625]),
openmc.CellFilter([fuel_cell])
]
tallies_file.append(fuel_therm_abs_rate)
# Fast Fission Factor tallies
therm_fiss_rate = openmc.Tally(name='therm. fiss. rate')
therm_fiss_rate.scores = ['nu-fission']
therm_fiss_rate.filters = [openmc.EnergyFilter([0., 0.625])]
tallies_file.append(therm_fiss_rate)
tallies_file.export_to_xml()
#############################
### PLOTTING ###
#############################
p = openmc.Plot()
p.filename = 'pinplot'
p.width = (2 * pitch, 2 * pitch)
p.pixels = (200, 200)
p.color_by = 'material'
p.colors = {homogeneous_fuel: 'yellow', sodium: 'grey'}
plots = openmc.Plots([p])
plots.export_to_xml()
# openmc.plot_geometry(output = False)
openmc.plot_geometry()
pngstring = 'pinplot{}.png'.format(str(pitch))
subprocess.call(['convert', 'pinplot.ppm', pngstring])
subprocess.call(['mv', pngstring, 'figures/' + pngstring])
#############################
### EXECUTION ###
#############################
# openmc.run(output=False)
openmc.run()
sp = openmc.StatePoint('statepoint.{}.h5'.format(settings.batches))
# Collect all the tallies
fiss_rate = sp.get_tally(name='fiss. rate')
fiss_rate_df = fiss_rate.get_pandas_dataframe()
abs_rate = sp.get_tally(name='abs. rate')
abs_rate_df = abs_rate.get_pandas_dataframe()
therm_abs_rate = sp.get_tally(name='therm. abs. rate')
therm_abs_rate_df = therm_abs_rate.get_pandas_dataframe()
fuel_therm_abs_rate = sp.get_tally(name='fuel therm. abs. rate')
fuel_therm_abs_rate_df = fuel_therm_abs_rate.get_pandas_dataframe()
therm_fiss_rate = sp.get_tally(name='therm. fiss. rate')
therm_fiss_rate_df = therm_fiss_rate.get_pandas_dataframe()
# Compute k-infinity
kinf = fiss_rate / abs_rate
kinf_df = kinf.get_pandas_dataframe()
# Compute resonance escape probability
res_esc = (therm_abs_rate) / (abs_rate)
res_esc_df = res_esc.get_pandas_dataframe()
# Compute fast fission factor
fast_fiss = fiss_rate / therm_fiss_rate
fast_fiss_df = fast_fiss.get_pandas_dataframe()
# Compute thermal flux utilization
therm_util = fuel_therm_abs_rate / therm_abs_rate
therm_util_df = therm_util.get_pandas_dataframe()
# Compute neutrons produced per absorption
eta = therm_fiss_rate / fuel_therm_abs_rate
eta_df = eta.get_pandas_dataframe()
columns = [
'pitch', 'enrichment', 'kinf mean', 'kinf sd', 'res_esc mean',
'res_esc sd', 'fast_fiss mean', 'fast_fiss sd', 'therm_util mean',
'therm_util sd', 'eta mean', 'eta sd'
]
data = [[
pitch, enrichment, kinf_df['mean'][0], kinf_df['std. dev.'][0],
res_esc_df['mean'][0], res_esc_df['std. dev.'][0],
fast_fiss_df['mean'][0], fast_fiss_df['std. dev.'][0],
therm_util_df['mean'][0], therm_util_df['std. dev.'][0],
eta_df['mean'][0], eta_df['std. dev.'][0]
]]
all_tallies = pd.DataFrame(data, columns=columns)
return all_tallies