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Comparison of ALARA and OpenMC SS Results #13

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38 changes: 22 additions & 16 deletions SS_Activation_OpenMC.py
Original file line number Diff line number Diff line change
Expand Up @@ -84,9 +84,9 @@
#Depletion calculation
W.depletable = True
W.volume = 4.0/3.0 * np.pi * (R_2**3 - R_1**3) #volume of W wall material
fluxes, micros = openmc.deplete.get_microxs_and_flux(model, Cells)
operator = openmc.deplete.IndependentOperator(materials, fluxes[0:1], micros[0:1],normalization_mode='source-rate')
# operator = openmc.deplete.CoupledOperator(model, normalization_mode='source-rate')
#fluxes, micros = openmc.deplete.get_microxs_and_flux(model, Cells)
#operator = openmc.deplete.IndependentOperator(materials, fluxes[0:1], micros[0:1],normalization_mode='source-rate')
operator = openmc.deplete.CoupledOperator(model, normalization_mode='source-rate')
time_steps = [3e8, 86400, 2.6e6]
source_rates = [1E+18, 0, 0]
integrator = openmc.deplete.PredictorIntegrator(operator=operator, timesteps=time_steps, source_rates=source_rates, timestep_units='s')
Expand Down Expand Up @@ -127,25 +127,29 @@
# Stable W nuclides present at beginning of operation (will not be plotted)
stable_nuc = ['W180', 'W182', 'W183', 'W184', 'W186']

#Store list of nuclides from last timestep as a Materials object
materials_last = results.export_to_materials(-1)
# Storing depletion data from 1st material
mat_dep = materials_last[0]
# Obtaining the list of nuclides from the results file
nuc_last = mat_dep.get_nuclides()
materials_list=[]
#Store list of nuclides from each timestep as a Materials object
for step in range(len(time_steps)):
materials_object = results.export_to_materials(step)
# Storing depletion data from 1st material
mat_dep = materials_object[0]
# Obtaining the list of nuclides in the results file
rad_nuc = mat_dep.get_nuclides()
materials_list.append(rad_nuc)


# Removing stable W nuclides from list so that they do not appear in the plot
for j in stable_nuc :
nuc_last.remove(j)
print(nuc_last)
rad_nuc.remove(j)
print(rad_nuc)

colors = list(mcolors.CSS4_COLORS.keys())
num_dens= {}
pair_list = {}

with open(r'Densities_CSV.csv', 'a') as density_file:
with open(r'Densities_CSV.csv', 'w') as density_file:

for nuclide in nuc_last:
for nuclide in rad_nuc:
plot_color = random.choice(colors)
time, num_dens[nuclide] = results.get_atoms('1', nuclide, nuc_units = 'atom/cm3')
print(time, num_dens[nuclide])
Expand All @@ -154,17 +158,19 @@
plt.plot(time, num_dens[nuclide], marker='.', linestyle='solid', color=plot_color, label=nuclide)

# Adding labels and title
plt.xlabel('Time after beginning of operation [s]')
plt.xlim(1, sum(time_steps)
plt.xlabel('Time after start of operation [s]')
plt.xlim(1, sum(time_steps))
#plt.ylim(1e-09, 1e+20)
#plt.gca().set_ylim(bottom=0)
plt.ylabel('Nuclide density [atoms/cm^3]')
plt.xscale("log")
plt.yscale("log")
plt.title('Plot of number density vs time')
plt.title('Plot of number density vs time after operation')

# Adding a legend
plt.legend()

plt.savefig('Nuclide_density_OpenMC')
# Display the plot
plt.show()
plt.close()
164 changes: 164 additions & 0 deletions SphericalShell/ALARA_OpenMC_Comparison.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,164 @@
# -*- coding: utf-8 -*-
"""
Created on Wed Jul 10 12:54:10 2024

@author: Anupama Rajendra
"""

import matplotlib.pyplot as plt
import csv

#Initializing arrays to store data from OpenMC results .csv file:
OpenMC_Nuclides = []
OpenMC_Day = []
OpenMC_Month = []
OpenMC_Shutdown = []

with open('Densities_CSV.csv', 'r') as OpenMC_Data:
OpenMC_csv_reader = csv.reader(OpenMC_Data)
for OpenMC_line in OpenMC_csv_reader:
OpenMC_Nuclides.append(OpenMC_line[0])
OpenMC_Day.append(OpenMC_line[2])
OpenMC_Month.append(OpenMC_line[3])
OpenMC_Shutdown.append(OpenMC_line[4])

# Reading content from ALARA Output file:
with open('ALARA_Data.txt', 'r') as Data_File:
ALARA_Data = Data_File.readlines()

#Identifying the part of the ALARA output file that contains the relevant density data:
ALARA_FileBounds = []
for Density_Index, Density_Content in enumerate(ALARA_Data):
if '==' in Density_Content:
ALARA_FileBounds.append(Density_Index)
#If '==' is found twice, end the loop
if len(ALARA_FileBounds) == 2:
break

#Process the data in between the two lines that begin with '=='
ALARA_Nuclide_Data = ALARA_Data[ALARA_FileBounds[0] + 1:ALARA_FileBounds[1]]

# Stable W nuclides present at beginning of operation:
Stable_Nuc = ['w-180', 'w-182', 'w-183', 'w-184', 'w-186']

#Initializing arrays to store data from ALARA and data common to both ALARA & OpenMC
ALARA_Nuc_no_W = []
ALARA_no_W_Day = []
ALARA_no_W_Month = []
ALARA_no_W_Shutdown = []
ALARA_List = [ALARA_no_W_Day, ALARA_no_W_Month, ALARA_no_W_Shutdown]

Common_Nuclides = []
Common_Day_Diff = []
Common_Month_Diff = []
Common_Shutdown_Diff = []

#Nuclide data found in ALARA only
ALARA_Nuclides_Only = []
ALARA_no_W_Day_Only = []
ALARA_no_W_Month_Only = []
ALARA_no_W_Shutdown_Only = []

for ALARA_Filtered_Lines in ALARA_Nuclide_Data:
#For any nuclide that is not one of the stable W nuclides:
if not any(ALARA_Filtered_Lines.startswith(Nuclide) for Nuclide in Stable_Nuc):
#Formatting change to make OpenMC and ALARA nuclide formats match up
ALARA_Filtered_Lines = ALARA_Filtered_Lines.replace('-','').capitalize()
#Storing all density information from ALARA output

#The first part of each line is the nuclide
Nuc_Each_Line = (ALARA_Filtered_Lines.strip().split()[0])
ALARA_Nuc_no_W.append(Nuc_Each_Line)
ALARA_no_W_Day.append(ALARA_Filtered_Lines.strip().split()[1])
ALARA_no_W_Month.append(ALARA_Filtered_Lines.strip().split()[2])
ALARA_no_W_Shutdown.append(ALARA_Filtered_Lines.strip().split()[3])
#Identifying nuclides from ALARA that are also found from OpenMC data:
if Nuc_Each_Line in OpenMC_Nuclides:
Common_Nuclides.append(Nuc_Each_Line)
else:
#Add to lists that contain nuclides/densities only found in ALARA output
ALARA_Nuclides_Only.append(Nuc_Each_Line)
ALARA_no_W_Day_Only.append(ALARA_Filtered_Lines.split()[1])
ALARA_no_W_Month_Only.append(ALARA_Filtered_Lines.split()[2])
ALARA_no_W_Shutdown_Only.append(ALARA_Filtered_Lines.split()[3])

# Times after shutdown [s]
time_steps = [0, 86400, 2.6864e+06]

# Plot data for each isotope found in ALARA
for i, isotope in enumerate(ALARA_Nuc_no_W):
densities = [ALARA_no_W_Day[i], ALARA_no_W_Month[i], ALARA_no_W_Shutdown[i]]
plt.plot(time_steps, densities, marker='o', label=isotope)

plt.xlabel('Time (seconds)')
plt.ylabel('Number Density (atoms/cm^3)')
plt.title('Number Density [atoms/cm^3] vs. Time After Shutdown [s]')
plt.legend(loc='upper left', bbox_to_anchor=(1.05, 1))
plt.subplots_adjust(right=0.7)
plt.xscale('log')
plt.yscale('log')
plt.grid(True)
plt.savefig('Nuclide_density_ALARA')
plt.show()

#Initializing arrays to store ratios of nuclide densities from both codes
Ratio_Day = []
Ratio_Month = []
Ratio_Shutdown = []

#print("All nuclides found in OpenMC", OpenMC_Nuclides)
print("Nuclides common to ALARA and OpenMC", Common_Nuclides)
#print("Nuclides found only in ALARA:", ALARA_Nuclides_Only)

#Iterating over all nuclides common to both sets of results
for Common_Name in Common_Nuclides:
#Identifying the location of each common nuclide in the OpenMC nuclide list
Index_OpenMC = OpenMC_Nuclides.index(Common_Name)
Density_OpenMC_Day = float(OpenMC_Day[Index_OpenMC])
Density_OpenMC_Month = float(OpenMC_Month[Index_OpenMC])
Density_OpenMC_Shutdown = float(OpenMC_Shutdown[Index_OpenMC])

#Identifying the location of each common nuclide in the ALARA nuclide list
Index_ALARA = ALARA_Nuc_no_W.index(Common_Name)
Density_ALARA_Day = float(ALARA_no_W_Day[Index_ALARA])
Density_ALARA_Month = float(ALARA_no_W_Month[Index_ALARA])
Density_ALARA_Shutdown = float(ALARA_no_W_Shutdown[Index_ALARA])

#Ratios between the values from ALARA and OpenMC:
Ratio_Day.append(Density_OpenMC_Day / Density_ALARA_Day)
Ratio_Month.append(Density_OpenMC_Month / Density_ALARA_Month)
Ratio_Shutdown.append(Density_OpenMC_Shutdown / Density_ALARA_Shutdown)

#Absolute values of the differences between ALARA and OpenMC
Common_Day_Diff.append(abs(Density_OpenMC_Day - Density_ALARA_Day))
Common_Month_Diff.append(abs(Density_OpenMC_Month - Density_ALARA_Month))
Common_Shutdown_Diff.append(abs(Density_OpenMC_Shutdown - Density_ALARA_Shutdown))

for j, com_iso in enumerate(Common_Nuclides):
common_diff = [Common_Day_Diff[j], Common_Month_Diff[j], Common_Shutdown_Diff[j]]
common_ratios = [Ratio_Day[j], Ratio_Month[j], Ratio_Shutdown[j]]
#plt.plot(time_steps, common_diff, marker='o', label=com_iso)
plt.plot(time_steps, common_ratios, marker = 'o', label = com_iso)

# plt.xlabel('Time [seconds]')
# plt.xlim(1, 1E+7)
# #plt.ylim(1E+12, 1E+15)
# plt.ylabel('Number Density Difference [atoms/cm^3]')
# plt.title('Number Density [atoms/cm^3] vs. Time After Shutdown [s]')
# plt.subplots_adjust(right=0.7)
# plt.xscale('log')
# plt.yscale('log')
# plt.grid(True)
#plt.savefig('Nuclide_density_diff')
# plt.legend(loc='upper left', bbox_to_anchor=(1.05, 1))
# plt.show()

plt.xlabel('Time [seconds]')
plt.ylabel('Ratio Between OpenMC and ALARA')
plt.title('Number Density Ratio vs. Time After Shutdown [s]')
plt.subplots_adjust(right=0.7)
plt.legend(loc='upper left', bbox_to_anchor=(1.15, 1.1))
plt.grid(True)
plt.savefig('Nuclide_density_ratio')
plt.show()
plt.close()