Created
March 17, 2020 16:34
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Diffusion in a 3D PNM on a regular lattice network
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import numpy as np | |
import openpnm as op | |
from time import time | |
import openpnm.utils.petsc | |
rank = openpnm.utils.petsc.PETSc.COMM_WORLD.rank | |
size = openpnm.utils.petsc.PETSc.COMM_WORLD.size | |
np.random.seed(10) | |
nvar = [150] | |
sfs = ["petsc"] | |
sts = ["cg"] | |
runtime = {f"{sf}.{st}": [] for sf, st in zip(sfs, sts)} | |
for n in nvar: | |
net = op.network.Cubic(shape=[n, n, n], spacing=1e-4) | |
geom = op.geometry.StickAndBall(network=net) | |
air = op.phases.Air(network=net, name="air") | |
phys = op.physics.Standard(network=net, phase=air, geometry=geom) | |
fd = op.algorithms.FickianDiffusion(network=net, phase=air) | |
fd.set_value_BC(pores=net.pores("left"), values=1) | |
fd.set_value_BC(pores=net.pores("right"), values=0.674) | |
for sf, st in zip(sfs, sts): | |
fd.setup(solver_family=sf, solver_type=st) | |
t0 = time() | |
fd.run() | |
dt = time() - t0 | |
runtime[f"{sf}.{st}"].append(dt) | |
if rank == 0: | |
print(f"No. unknowns: {n**3:<8}, Runtime: {dt:<6.1f}s ({sf}.{st})") |
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