def getThoriumPowerFraction(path, filename, cell, matnum, volume):
mtr = McnpTallyReader()
fission_energy_dic = defaultdict(lambda: 0)
nuclidelist = [
'90232', '91233', '94239', '94240', '94241', '92233', '92234', '92235',
'92238'
]
tallydic = {
'1003': '94239',
'1005': '94241',
'1018': '92233',
'1020': '92235'
}
atomdensitydic = {}
for nuclide in nuclidelist:
atomdensitydic[nuclide] = mtr.getNuclideDensity(
PurePath.joinpath(path, filename), cell, matnum, nuclide)
for tallynum, nuclide in tallydic.items():
Z = float(nuclide[0:2])
A = float(nuclide[2:])
Q = 0.00129927 * Z**2 * A**0.5 + 33.12
fisstally = readFmtally(PurePath.joinpath(path, filename), tallynum,
'-6')
fission_energy_dic[
nuclide] = volume * atomdensitydic[nuclide] * fisstally * Q
tot_energy = 0
for nuclide, fission_energy in fission_energy_dic.items():
tot_energy += fission_energy
print(tot_energy)
return fission_energy_dic
from tool.mcnp_reader import McnpTallyReader
from pathlib import Path, PurePath
from collections import defaultdict
import matplotlib.pyplot as plt
import numpy as np
mtr = McnpTallyReader()
loopdic = {1: 4, 2: 5, 3: 20}
path = Path('D:\work\mcnpxwork\博士课题\msasd\氯盐堆\\r150\8501gOUT')
basefilename = '8501go'
keffofnuclide = defaultdict(lambda: 0)
nuclidelist = [
'94238', '94239', '94240', '94241', '94242', '90232', '92235', '91233',
'92233'
]
for nuclide in nuclidelist:
keffofnuclide[nuclide] = []
for key in loopdic.keys():
for ii in range(loopdic[key]):
filename = '-'.join([basefilename, str(key), str(ii + 1)])
print('read file {:}\n'.format(filename))
for nuclide in nuclidelist:
keffofnuclide[nuclide].append(
mtr.getNuclideKeff(PurePath.joinpath(path, filename), '4', '1',
nuclide))
timelist = np.array([
0.00000e+00, 2.00000e+01, 4.00000e+01, 6.00000e+01, 8.00000e+01,
2.80000e+02, 4.80000e+02, 6.80000e+02, 8.80000e+02, 1.08000e+03,
1.68000e+03, 2.28000e+03, 2.88000e+03, 3.48000e+03, 4.08000e+03,
for key, v in self.powTallyData.items():
result.powTallyData[
key] = self.powTallyData[key] + other.powTallyData[key]
for key, v in self.volData.items():
result.volData[key] = self.volData[key] + other.volData[key]
result.createPowerDesity()
return result
else:
print("Error: the mode of two object are inconsistent!")
return None
if __name__ == '__main__':
sideLen = 10.0279372 #正六边形对边距
r = 2.0055874 #熔盐流道半径
cell_num = '4' # Used to calulate volume.
mtr = McnpTallyReader()
basedir = Path('D:\\work\\mcnpwork\\lf1\\工程设计\\功率分布\\二维\\功率密度分布')
file_dic = {
'0天': {
'filename': '0000.log',
'vfilename': '00v.log'
},
'2天': {
'filename': '0002.log',
'vfilename': '02v.log'
},
'60天': {
'filename': '0060.log',
'vfilename': '060v.log'
},
'120天': {