def __init__(self):
super().__init__() # llama a la creación de AerModel
print('- Inicializando Transitorio')
self._C0 = {}
self.__Ct_1 = {}
self._Ct = {}
self.__FILENAME = 'aer.cii'
self.__ROOTFILE = self.__FILENAME[:-4]
self.__DATABASE = self.__ROOTFILE + '_eq.cdb'
self.__Geom = Geometry(self.__FILENAME.replace('.cii', '_geo.ci@'))
self.__NuFis = NuFissionMap()
self.__KM = KineticMap()
self._NOG = 2 # TODO: Sería mejor extraer del ci@?
self.chi_g = [1.0, 0.0] # TODO: Sería mejor extraer del ci@?
self.__Flux_t_1 = self.Flux = MeshFlux(
self.__DATABASE + '.meshflux', *self.__Geom.Cantidad_de_Nodos(),
self._NOG)
Nx, Ny, Nz, _NOG = self.Flux.shape[1:]
self.BetaM = np.empty((1, Nx, Ny, Nz, 6))
self.LambdaM = np.empty((1, Nx, Ny, Nz, 6))
self.NuFisM = np.empty((1, Nx, Ny, Nz, _NOG))
self.VelocityM = np.empty((1, Nx, Ny, Nz, _NOG))
state = 0
static_react = -123.1 # reactividad inicial inicial, no inicial
self.keff = 1 / (1 - static_react / 100000)
self._Q = {}
self.EQUILIBRIUM = True
self.powers = []
for _x in range(Nx):
for _y in range(Ny):
for _z in range(Nz):
meshmaterial = self.__Geom.sc5[_x][_y][_z]
kwargs = {'list_fuels': self.list_fuels, 'time': 0}
self.BetaM[state][_x][_y][_z][:] = \
self.__KM.MapMaterial(meshmaterial, **kwargs)['Beta']
self.LambdaM[state][_x][_y][_z][:] = \
self.__KM.MapMaterial(meshmaterial, **kwargs)['Decays']
self.VelocityM[state][_x][_y][_z][:] = \
self.__KM.MapMaterial(meshmaterial, **kwargs)['Neutron Velocity']
self.NuFisM[state][_x][_y][_z][:] = \
self.__NuFis.MapMaterial(meshmaterial, **kwargs)['XS'][:, 3] / self.keff
if args:
return self._FISS[DEFAULT_STATE][DEFAULT_BURNUP][args[0]].shape[0]
return self._FISS[DEFAULT_STATE][DEFAULT_BURNUP]['Decays'].shape[0]
if __name__ == '__main__':
from citvappru.SourceCAREM2_1_1 import Geometry, PrecCalc
import re
os.chdir('C:\\CUBEM\\')
FILENAME = 'cube.cii'
ROOTFILE = FILENAME[:-4]
DATABASE = ROOTFILE + '_eq.cdb'
Geom = Geometry(FILENAME.replace('.cii', '0.cii'))
NuFis = Nu_Fission_Map()
KM = Kinetic_Map(NPRC=1)
_NOG = 1
NPRC = KM.get_NPRC()
Flux = MeshFlux(DATABASE + '.meshflux', *Geom.Cantidad_de_Nodos(), _NOG)
Nx, Ny, Nz = Flux.shape[1:4]
BetaM = np.empty((1, Nx, Ny, Nz, NPRC))
LambdaM = np.empty((1, Nx, Ny, Nz, NPRC))
NuFisM = np.empty((1, Nx, Ny, Nz, _NOG))
VelocityM = np.empty((1, Nx, Ny, Nz, _NOG))
def mainnomain():
os.chdir('D:\\AER\\')
FILENAME = 'aer.cii'
ROOTFILE = FILENAME[:-4]
DATABASE = ROOTFILE + '_eq.cdb'
Geom = Geometry(FILENAME.replace('.cii', '_geo.ci@'))
NuFis = NuFissionMap()
KM = KineticMap()
_NOG = 2
Flux = MeshFlux(DATABASE + '.meshflux', *Geom.Cantidad_de_Nodos(), _NOG)
Nx, Ny, Nz = Flux.shape[1:4]
BetaM = np.empty((1, Nx, Ny, Nz, 1))
LambdaM = np.empty((1, Nx, Ny, Nz, 1))
NuFisM = np.empty((1, Nx, Ny, Nz, _NOG))
VelocityM = np.empty((1, Nx, Ny, Nz, _NOG))
state = 0
Vmesh = Geom.Vmesh()
react = -123.1 # reactividad inicial inicial, no inicial
keff = 1 / (1 - react / 100000)
for _x in range(Nx):
for _y in range(Ny):
for _z in range(Nz):
meshmaterial = Geom.sc5[_x][_y][_z]
KinParam = KM.MapMaterial(meshmaterial) # Obsoleto
BetaM[state][_x][_y][_z][:] = KinParam['Beta']
LambdaM[state][_x][_y][_z][:] = KinParam['Decays']
VelocityM[state][_x][_y][_z][:] = KinParam['Neutron Velocity']
NuFisM[state][_x][_y][_z][:] = NuFis.MapMaterial(
meshmaterial)['XS'][:, 3] / keff
C0 = {}
NPRC = BetaM.shape[-1]
C0[state] = {}
for nx in range(Flux.shape[1]):
C0[state][nx] = {}
for ny in range(Flux.shape[2]):
C0[state][nx][ny] = {}
for nz in range(Flux.shape[3]):
FluxL = [
Flux[state, nx, ny, nz, group]
for group in range(Flux.shape[-1])
]
NuFisL = [
NuFisM[state][nx][ny][nz][group]
for group in range(Flux.shape[-1])
]
Nu_FluxM = [
NuFisL[group] * FluxL[group] * Vmesh
for group in range(Flux.shape[-1])
]
Bet_k = BetaM[state][nx][ny][nz]
Lamb_k = LambdaM[state][nx][ny][nz]
Nu_Flux = sum(Nu_FluxM)
C0[state][nx][ny][nz] = [
Bet_k[prec] * Nu_Flux /
Lamb_k[prec] if Lamb_k[prec] != 0 else 0.0
for prec in range(NPRC)
]
p = re.compile(r'POWER\(WATTS\)\s+([0-9]\.[0-9]{5}E\+[0-9]{2})')
powers = []
Q = {}
EQUILIBRIUM = True
chi_g = [1.0, 0.0]
v1 = 1.25E+7
v2 = 2.50E+5
dt = 0.01
tfinal = 0.5
DATABASE = ROOTFILE + 'S.cdb'
Times = np.arange(0, tfinal + 2 * dt, dt)
FAILED_COMPLETE_TEST = False
DERIVATIVE = True
for t in Times:
if EQUILIBRIUM:
C_t_1 = C0.copy()
C_t = C0.copy()
Flux_t_1 = Flux
else:
TFlux = MeshFlux(DATABASE + '.meshflux', Nx, Ny, Nz, _NOG)
# noinspection PyUnboundLocalVariable
C_t = PrecCalc(C_t_1,
TFlux,
NuFisM,
Vmesh,
dt,
LambdaM=LambdaM,
BetaM=BetaM)
C_t_1 = C_t.copy()
Flux_t_1 = TFlux
for group in range(Flux.shape[-1]):
Q[group] = {}
for state in range(Flux.shape[0]):
Q[group][state] = {}
for nx in range(Flux.shape[1]):
Q[group][state][nx] = {}
for ny in range(Flux.shape[2]):
Q[group][state][nx][ny] = {}
for nz in range(Flux.shape[3]):
_Lmk = LambdaM[state][nx][ny][nz]
_C = C_t[state][nx][ny][nz]
_invV = VelocityM[state, nx, ny, nz, group]
T_1Flux = Flux_t_1[state, nx, ny, nz, group]
Q[group][state][nx][ny][nz] = \
chi_g[group] * sum([_Lmk[prc] * _C[prc] for prc in range(NPRC)]) \
+ _invV / dt * T_1Flux * Vmesh * DERIVATIVE #
with open('source.dat', 'w') as fod:
for group in range(_NOG):
for state in range(Flux.shape[0]):
for nz in range(Flux.shape[3]):
for ny in range(Flux.shape[2]):
for nx in range(Flux.shape[1]):
fod.write('{:15.7E}'.format(
Q[group][state][nx][ny][nz]))
fod.write('\n')
# Ejecución de archivo AQUI
OsArgs = (FILENAME.replace('.cii',
'S.cii'), _NOG, Nx, Ny, Nz, EQUILIBRIUM,
*['{:12.5E}'.format(_d) for _d in [dt * DERIVATIVE, t]])
# PARA HACER UNA PERTURBACION ESCALOR,COLOCAR t=1
# PARA CALCULAR SIN DERIVADA TEMPORAL dt=0
try:
os.system('ExAer.bat ' + ' '.join(map(str, OsArgs)))
fid = open(ROOTFILE + 'S.cio', 'r')
powers.append(float(next(p.finditer(fid.read())).groups()[0]))
print(powers[-1])
fid.close()
if EQUILIBRIUM: EQUILIBRIUM = False
except StopIteration:
FAILED_COMPLETE_TEST = True
break
pass
Normalized_Pow = np.array(powers) / 1E+06
if FAILED_COMPLETE_TEST: Times = [k * dt for k in range(len(powers))]
return
class AerEvolution(AerModel):
def __init__(self):
super().__init__() # llama a la creación de AerModel
print('- Inicializando Transitorio')
self._C0 = {}
self.__Ct_1 = {}
self._Ct = {}
self.__FILENAME = 'aer.cii'
self.__ROOTFILE = self.__FILENAME[:-4]
self.__DATABASE = self.__ROOTFILE + '_eq.cdb'
self.__Geom = Geometry(self.__FILENAME.replace('.cii', '_geo.ci@'))
self.__NuFis = NuFissionMap()
self.__KM = KineticMap()
self._NOG = 2 # TODO: Sería mejor extraer del ci@?
self.chi_g = [1.0, 0.0] # TODO: Sería mejor extraer del ci@?
self.__Flux_t_1 = self.Flux = MeshFlux(
self.__DATABASE + '.meshflux', *self.__Geom.Cantidad_de_Nodos(),
self._NOG)
Nx, Ny, Nz, _NOG = self.Flux.shape[1:]
self.BetaM = np.empty((1, Nx, Ny, Nz, 6))
self.LambdaM = np.empty((1, Nx, Ny, Nz, 6))
self.NuFisM = np.empty((1, Nx, Ny, Nz, _NOG))
self.VelocityM = np.empty((1, Nx, Ny, Nz, _NOG))
state = 0
static_react = -123.1 # reactividad inicial inicial, no inicial
self.keff = 1 / (1 - static_react / 100000)
self._Q = {}
self.EQUILIBRIUM = True
self.powers = []
for _x in range(Nx):
for _y in range(Ny):
for _z in range(Nz):
meshmaterial = self.__Geom.sc5[_x][_y][_z]
kwargs = {'list_fuels': self.list_fuels, 'time': 0}
self.BetaM[state][_x][_y][_z][:] = \
self.__KM.MapMaterial(meshmaterial, **kwargs)['Beta']
self.LambdaM[state][_x][_y][_z][:] = \
self.__KM.MapMaterial(meshmaterial, **kwargs)['Decays']
self.VelocityM[state][_x][_y][_z][:] = \
self.__KM.MapMaterial(meshmaterial, **kwargs)['Neutron Velocity']
self.NuFisM[state][_x][_y][_z][:] = \
self.__NuFis.MapMaterial(meshmaterial, **kwargs)['XS'][:, 3] / self.keff
@property
def Ct_1(self):
"""
Precursores calculados en el paso anterior
"""
return self.__Ct_1.copy()
@property
def Ct(self):
"""
Precursores calculados hasta ahora.
"""
return AddableDict(self._Ct)
@property
def C0(self):
"""
Precursores de Equilibrio (reactor estático)
"""
return AddableDict(self._C0)
def equilibrium_precrs(self):
print('- Calculando precursores en equilibrio')
state = 0
Vmesh = self.__Geom.Vmesh()
NPRC = self.BetaM.shape[-1]
self._C0[state] = {}
for nx in range(self.Flux.shape[1]):
self._C0[state][nx] = {}
for ny in range(self.Flux.shape[2]):
self._C0[state][nx][ny] = {}
for nz in range(self.Flux.shape[3]):
FluxL = [
self.Flux[state, nx, ny, nz, group]
for group in range(self.Flux.shape[-1])
]
NuFisL = [
self.NuFisM[state][nx][ny][nz][group]
for group in range(self.Flux.shape[-1])
]
Nu_FluxM = [
NuFisL[group] * FluxL[group] * Vmesh
for group in range(self.Flux.shape[-1])
]
Bet_k = self.BetaM[state][nx][ny][nz]
Lamb_k = self.LambdaM[state][nx][ny][nz]
Nu_Flux = sum(Nu_FluxM)
self._C0[state][nx][ny][nz] = [
Bet_k[prec] * Nu_Flux /
Lamb_k[prec] if Lamb_k[prec] != 0 else 0.0
for prec in range(NPRC)
]
self.__Ct_1 = self._C0.copy()
self._Ct = self._C0.copy()
def calculate_precrs(self, dt):
TFlux = MeshFlux(self.__DATABASE + '.meshflux',
*self.__Geom.Cantidad_de_Nodos()[1:4])
self._Ct = PrecCalc(self.__Ct_1,
TFlux,
self.NuFisM,
self.__Geom.Vmesh(),
dt,
LambdaM=self.LambdaM,
BetaM=self.BetaM)
self.__Ct_1 = self._Ct.copy()
self.__Flux_t_1 = TFlux
return
@property
def Q_as_array(self):
"""
Fuente calculada al instante t como array de numpy
"""
return AddableDict(self._Q).as_array()
def calculate_source(self, **kwargs):
print('- Calculando la fuente')
DERIVATIVE = kwargs['DERIVATIVE']
if DERIVATIVE:
dt = kwargs['dt']
else:
dt = 1
Vmesh = self.__Geom.Vmesh()
NPRC = 6
for group in range(self.Flux.shape[-1]):
self._Q[group] = {}
for state in range(self.Flux.shape[0]):
self._Q[group][state] = {}
for nx in range(self.Flux.shape[1]):
self._Q[group][state][nx] = {}
for ny in range(self.Flux.shape[2]):
self._Q[group][state][nx][ny] = {}
for nz in range(self.Flux.shape[3]):
_Lmk = self.LambdaM[state][nx][ny][nz]
_C = self._Ct[state][nx][ny][nz]
_invV = self.VelocityM[state, nx, ny, nz, group]
T_1Flux = self.__Flux_t_1[state, nx, ny, nz, group]
self._Q[group][state][nx][ny][nz] = \
self.chi_g[group] * sum([_Lmk[prc] * _C[prc] for prc in range(NPRC)]) \
+ (_invV / dt * T_1Flux * Vmesh if DERIVATIVE else 0)
def move_control_rods(self, **kwargs):
Threshold = 1.0
assert 'time' in kwargs, 'No se ha establecido el tiempo de cálculo'
Time = kwargs['time']
Extraction_Velocity = 200 / 0.08
Extraction_CR_26 = 8 - (Extraction_Velocity *
Time) // 25 if Time <= 0.08 else 0
self.InsertControlRod(Extraction_CR_26, 26)
if Time > Threshold:
Insertion_Velocity = 250 / 10.0 # Hasta el fondo del nucleo en 10 segundos
Insertion_CR_21 = 8 + (Insertion_Velocity *
Time) // 25 if Time <= 2.0 else 10
Insertion_CR_SS = (Insertion_Velocity *
Time) // 25 if Time <= 11.0 else 10
# Control Rod Secutiry System (23,25)
self.SCRAM(Insertion_CR_SS)
self.InsertControlRod(Insertion_CR_21, 21)
# TODO testear este método y llevarlo a archivo
return
def source_to_file(self):
print('- Escribiendo el Archivo source.dat')
_NOG = 2
with open('source.dat', 'w') as fod:
for group in range(_NOG):
for state in range(self.Flux.shape[0]):
for nz in range(self.Flux.shape[3]):
for ny in range(self.Flux.shape[2]):
for nx in range(self.Flux.shape[1]):
fod.write('{:15.7E}'.format(
self._Q[group][state][nx][ny][nz]))
fod.write('\n')
fod.write('\n')
def Execute(self, **kwargs):
self.EQUILIBRIUM = False
print('- Ejecuntando CITVAP')
DERIVATIVE = kwargs['DERIVATIVE']
if DERIVATIVE:
dt = kwargs['dt']
else:
dt = 1
time = kwargs['time']
p = re.compile(r'POWER\(WATTS\)\s+([0-9]\.[0-9]{5}E\+[0-9]{2})')
Nx, Ny, Nz = self.__Geom.Cantidad_de_Nodos()
OsArgs = (self.__FILENAME.replace('.cii', 'S.cii'), self._NOG, Nx, Ny,
Nz, self.EQUILIBRIUM,
*['{:12.5E}'.format(_d) for _d in [dt * DERIVATIVE, time]])
# PARA HACER UNA PERTURBACION ESCALOR,COLOCAR t=1
# PARA CALCULAR SIN DERIVADA TEMPORAL dt=0
try:
os.system('ExEqAer.bat ' + ' '.join(map(str, OsArgs)))
fid = open(self.__ROOTFILE + 'S.cio', 'r')
self.powers.append(float(next(p.finditer(fid.read())).groups()[0]))
print(self.powers[-1])
fid.close()
if self.EQUILIBRIUM: self.EQUILIBRIUM = False
except StopIteration:
FAILED_COMPLETE_TEST = True
pass
# TODO: traer el script a python para ser ejecutado con subprocess.Popen
pass # AerEvolution
elements = [hexag.type[0] for hexag in
list(filter(lambda column: 26 in map(lambda hexag: hexag.type[1], column), alf.grid))[0] if
hexag.type[1] not in [5, 1999]]
pows = PowDens('aer.cdb.powerdensities')
plt.plot(pows[0, min(elements) - 1:max(elements) - 1, :], '-o')
Pows = OrderedDict({ file.strip('.pow') : np.genfromtxt(file) for file in glob('INFO\\*.pow')})
Nods = OrderedDict({file.strip('.nod'): np.genfromtxt(file, comments='*') for file in glob('INFO\\*.nod')})
Nods = OrderedDict({ key:value.reshape(value.shape[0]//2210,2210,value.shape[1]) for key,value in Nods.items()})
plt.plot(*reduce(add,[(Pow[:,0],Pow[:,1],'-o') for Pow in Pows.values()]))
plt.legend(Pows.keys())
file = 'INFO\\solaeki.reac'
alf = np.loadtxt(file)
plt.plot(alf[:, 0], alf[:, 1], 'o')
return
if __name__ == '__main__':
# alf = GroupFlux('aer.cdb.flux')
# plt.plot(range(10),alf[0,0,:,1],'-o',range(10),alf[0,0,:,0],'o-')
Geo = Geometry('aer_geo.ci@')
import re
alfred = re.compile(r'(?<=\s{2}3\n)(?:[\s0-9]{3}){4}([\s0-9]{3})')
findings = alfred.search(open('aer_geo.ci@').read())
pass
def _init_mesh_parameters(self):
self.Geom = Geometry(self.__file.replace(
'S.cii', '0.cii')) # HARDCODEADO el *S.cii
self.Vmesh = self.Geom.Vmesh()
self.Nx, self.Ny, self.Nz = self.Geom.Cantidad_de_Nodos()
return
class CubeModel(EvInterface):
@property
def Ct_1(self):
return AddableDict(self._Ct_1).as_array()
@property
def C0(self):
return AddableDict(self._C0).as_array()
@property
def Ct(self):
return AddableDict(self._Ct).as_array()
@property
def Q(self):
return AddableDict(self._Q).as_array()
def __init__(self,
state=0,
nprc=1,
Equilibrium=True,
file='cubeS.cii',
UseDerivative=False):
self.t = 0.0
self.dt = 0.0
self.state = state
self.chi_g = [1.0]
self.__file = file
self.Equilibrium = Equilibrium
self.nprc = nprc
self.__rootfile = self.__file.replace('.cii', '')
self.__database = self.__file.replace('.cii', '.cdb')
self.__p_parser = re.compile(
r'POWER\(WATTS\) +([0-9]\.[0-9]{5}E\+[0-9]{2})')
self.Pt = 100
self._Q = {}
self._C0 = self._Ct = self._Ct_1 = {self.state: {}}
self.__UseDerivative = UseDerivative
self.__datfile = r'source.dat'
self._init_citvap_model()
self._init_mesh_parameters()
self._init_parameters()
self._init_flux()
return
def _init_citvap_model(self):
self._CV = CitvapSourceModel(file=self.__file,
sec4='cube.sc4',
sec5='cube.sc5',
mat='cube.mat',
sec26='cube.sc26',
GeometricType='XYZ')
self._CV.PrintMeshMap()
self._CV.Calculate()
return
def _init_flux(self):
self.Flux_t = self.Flux_t_1 = \
MeshFlux(self.__database.replace('S.cdb', '_eq.cdb.meshflux')
, self.Nx, self.Ny, self.Nz, self._NOG)
return
def _init_parameters(self):
self.NuFis = Nu_Fission_Map()
self.KM = Kinetic_Map(NPRC=self.nprc)
self._NOG = 1
self.BetaM = np.empty((1, self.Nx, self.Ny, self.Nz, self.nprc))
self.LambdaM = np.empty((1, self.Nx, self.Ny, self.Nz, self.nprc))
self.NuFisM = np.empty((1, self.Nx, self.Ny, self.Nz, self._NOG))
self.VelocityM = np.empty((1, self.Nx, self.Ny, self.Nz, self._NOG))
for _x in range(self.Nx):
for _y in range(self.Ny):
for _z in range(self.Nz):
meshmaterial = self.Geom.sc5[_x][_y][_z]
KinParam = self.KM.MapMaterial(meshmaterial,
NPRC=self.nprc)
self.BetaM[self.state][_x][_y][_z][:] = KinParam['Beta']
self.LambdaM[
self.state][_x][_y][_z][:] = KinParam['Decays']
self.VelocityM[self.state][_x][_y][_z][:] = KinParam[
'Neutron Velocity']
self.NuFisM[self.state][_x][_y][
_z][:] = self.NuFis.MapMaterial(meshmaterial)['XS'][:,
3]
self.react = self.__R0 = 173.0E-5
self.keff = 1 / (1 - self.__R0)
return 0
def _init_mesh_parameters(self):
self.Geom = Geometry(self.__file.replace(
'S.cii', '0.cii')) # HARDCODEADO el *S.cii
self.Vmesh = self.Geom.Vmesh()
self.Nx, self.Ny, self.Nz = self.Geom.Cantidad_de_Nodos()
return
def equilibrium_precrs(self, *args, **kwargs):
if not self._C0[self.state]:
for nx in range(self.Flux_t.shape[1]):
self._C0[self.state][nx] = {}
for ny in range(self.Flux_t.shape[2]):
self._C0[self.state][nx][ny] = {}
for nz in range(self.Flux_t.shape[3]):
FluxL = [
self.Flux_t[self.state, nx, ny, nz, group]
for group in range(self.Flux_t.shape[-1])
]
NuFisL = [
self.NuFisM[self.state][nx][ny][nz][group] /
self.keff for group in range(self.Flux_t.shape[-1])
]
Nu_FluxM = [
NuFisL[group] * FluxL[group] * self.Geom.Vmesh()
for group in range(self.Flux_t.shape[-1])
]
Bet_k = self.BetaM[self.state][nx][ny][nz]
Lamb_k = self.LambdaM[self.state][nx][ny][nz]
self._C0[self.state][nx][ny][nz] = [
Bet_k[prec] / Lamb_k[prec] *
sum(Nu_FluxM) if Lamb_k[prec] != 0 else 0.0
for prec in range(self.nprc)
]
return
def calculate_precrs(self, dt):
for nx in range(self.Nx):
# self._Ct[self.state][nx] = {}
for ny in range(self.Ny):
# self._Ct[self.state][nx][ny] = {}
for nz in range(self.Nz):
FluxL = [
self.Flux_t[self.state, nx, ny, nz, group]
for group in range(self._NOG)
]
NuFisL = [
self.NuFisM[self.state][nx][ny][nz][group]
for group in range(self._NOG)
]
Bet_k = self.BetaM[self.state][nx][ny][nz]
Lamb_k = self.LambdaM[self.state][nx][ny][nz]
_c_t_1 = self._Ct_1[self.state][nx][ny][nz]
Nu_Flux = [
NuFisL[group] * FluxL[group] * self.Geom.Vmesh()
for group in range(self._NOG)
]
self._Ct[self.state][nx][ny][nz] = \
[_c_t_1[prec] * np.exp(-Lamb_k[prec] * dt) +
Bet_k[prec] / Lamb_k[prec] * sum(Nu_Flux) * (1 - np.exp(-Lamb_k[prec] * dt))
if Lamb_k[prec] != 0 else 0.0 for prec in range(self.nprc)]
return
def evolve(self, dt, *args, **kwargs):
if self.Equilibrium:
self.equilibrium_precrs()
self._Ct = self._C0.copy()
self._Ct_1 = self._C0.copy()
else:
self._Ct_1 = self._Ct.copy()
self.calculate_precrs(dt)
self.t += dt
if self.__UseDerivative:
self.dt = dt
self.calculate_source(dt)
self.source_to_file()
self.__send_to_lu_17__()
self.__xsu_mod__()
self.run()
self.__get_power__()
if self.Equilibrium:
self.Equilibrium = False
self.Flux_t_1 = self.Flux_t.copy()
self.Flux_t = MeshFlux(self.__database + '.meshflux', self.Nx, self.Ny,
self.Nz, self._NOG)
return
def source_to_file(self):
with open(self.__datfile, 'w') as fod:
for group in range(self._NOG):
for nz in range(self.Nz):
for ny in range(self.Ny):
for nx in range(self.Nx):
fod.write('{:15.7E}'.format(
self._Q[group][self.state][nx][ny][nz]))
fod.write('\n')
return
def __send_to_lu_17__(self):
subprocess.run(['copy', '/Y', self.__datfile, 'Source_To_LU17'],
shell=True)
os.chdir('C:\\CUBEM\\Source_To_LU17')
msg = subprocess.run(
['main.exe', *map(str, [self._NOG, self.Nx, self.Ny, self.Nz])],
shell=True,
capture_output=True)
msg2 = subprocess.run(
['copy', '/Y', 'fort.17', '..\\' + self.__rootfile + '.src'],
shell=True,
capture_output=True)
os.chdir('C:\\CUBEM')
return msg
def __xsu_mod__(self):
XSU_FILE = '{}'.format(self.__rootfile + '.XSU')
try:
self._CV.run(executable='pre_cit.exe')
except AssertionError:
time.sleep(2.0)
self._CV.run(executable='pre_cit.exe')
subprocess.run(['move', XSU_FILE, 'XSU_MOD\\'], shell=True)
os.chdir('C:\\CUBEM\\XSU_MOD')
if self.__UseDerivative:
time_step = self.dt
else:
time_step = 0.0
msg = subprocess.run([
'neutyp', '{}'.format(XSU_FILE),
str(self.Equilibrium),
*map(lambda a: '{:12.5E}'.format(round(a, ndigits=5)),
[time_step, self.t])
],
shell=True,
capture_output=True)
assert msg.stderr in [
'', b''
], 'Error en la sobreescritura del archivo ROOT.XSU'
os.chdir('C:\\CUBEM')
msg2 = subprocess.run([
'move', '/Y', 'C:\\CUBEM\\XSU_MOD\\{}'.format(XSU_FILE), XSU_FILE
],
shell=True,
capture_output=True)
assert msg2.stderr in ['', b''
], 'Error en el movimiento del archivo ROOT.XSU'
return msg
def __get_power__(self, file=None):
if not file:
fid = open(self.__rootfile + '.cio', 'r')
else:
fid = open(file, 'r')
self.Pt = float(self.__p_parser.findall(fid.read())[0])
fid.close()
return
def run(self):
try:
self._CV.run(executable='cittrs.exe')
except AssertionError:
time.sleep(2.0)
self._CV.run(executable='cittrs.exe')
subprocess.run(
['caremdb', '-opt:export', '-val:meshflux', self.__database])
return
def calculate_source(self, dt):
for group in range(self.Flux_t.shape[-1]):
self._Q[group] = {self.state: {}}
for nx in range(self.Flux_t.shape[1]):
self._Q[group][self.state][nx] = {}
for ny in range(self.Flux_t.shape[2]):
self._Q[group][self.state][nx][ny] = {}
for nz in range(self.Flux_t.shape[3]):
_Lmk = self.LambdaM[self.state][nx][ny][nz]
_C = self._Ct[self.state][nx][ny][nz]
inv_V = self.VelocityM[self.state, nx, ny, nz, group]
self._Q[group][self.state][nx][ny][nz] = \
self.chi_g[group] * sum([_Lmk[prc] * _C[prc] for prc in range(self.nprc)])
if self.__UseDerivative:
self._Q[group][self.state][nx][ny][nz] +=\
inv_V / dt * self.Flux_t_1[self.state, nx, ny, nz, group] * self.Vmesh
return
pass # CubeModel