def __iadd__(self, other):
if not isinstance(other, DiffusionTerm):
return DiffusionTerm.__add__(self, other)
elif isinstance(other, _CollectedDiffusionTerm):
for term in other.orders:
self += term
elif other.order == 0:
if self.orders[0] is None:
self.orders[0] = other
elif other.order == 2:
# index is order / 2
if self.orders[1] is None:
self.orders[1] = other
else:
self.orders[1] += other
else:
self.orders.append(other)
return self
def _buildMatrix(self, var, SparseMatrix, boundaryConditions=(), dt=1.0, equation=None):
L, b = DiffusionTerm._buildMatrix(
self, var.getOld(), SparseMatrix, boundaryConditions=boundaryConditions, dt=dt, equation=equation
)
return (0, b - L * var.getValue())
# Define solution variable
concentration = CellVariable(name="solution variable", mesh=mesh, value=0.0)
## x dir
concentration.constrain(valueLow, mesh.facesLeft)
concentration.constrain(valueHigh, mesh.facesRight)
### y dir
#concentration.constrain(valueLow, mesh.facesBottom)
#concentration.constrain(valueHigh, mesh.facesTop)
print("C before:")
print(concentration)
#Define and solve steady state diffusion equation
diffTerm = DiffusionTerm(coeff=D)
diffTerm.solve(var=concentration,
solver=LinearBicgstabSolver(tolerance=1.0e-6,
iterations=int(1e8)))
#DiffusionTerm(coeff=D).solve(var=concentration, solver=LinearGMRESSolver(tolerance=1.0e-6, iterations=int(1e9)))
##DiffusionTerm(coeff=D).solve(var=concentration, solver=LinearLUSolver())
print("C solved:")
print(concentration)
#Post-process to calculate tortuosity in x direction
concentration[where(phase == 1.0)[0]] = 0
#dp = average(phase[where(x == min(x))])
#selection = where(x == min(x))
t7 = time.time()
x, y, z = mesh.cellCenters
# Boundary conditions
valueHigh = 1.0
valueLow = 0.0
# Define solution variable
concentration = CellVariable(name="solution variable", mesh=mesh, value=0.0)
concentration.constrain(valueLow, mesh.facesLeft)
concentration.constrain(valueHigh, mesh.facesRight)
#Define and solve steady state diffusion equation
DiffusionTerm(coeff=D).solve(var=concentration,
solver=LinearGMRESSolver(tolerance=1.0e-6,
iterations=int(1e9)))
#Post-process to calculate tortuosity in x direction
concentration[where(phase == 1.0)[0]] = 0
dp = average(phase[where(x == min(x))])
dc1 = average(concentration.value[where(x == min(x))])
dc2 = average(concentration.value[where(x == min(x))]) * (1. - dp)
xtortuosity = dx * porosity / dc1 / (dx * nx) / 2
xtortuosity2 = dx * porosity / dc2 / (dx * nx) / 2
t8 = time.time()
# Write results to file
results = open(args.output + '/' + filename + '.tor', 'w')
results.write('porosity %g' % porosity)
