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f421c2e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | import numpy as np
from numpy.testing import assert_allclose
import openpnm as op
class TransientFickianDiffusionTest:
def setup_class(self):
np.random.seed(0)
self.net = op.network.Cubic(shape=[4, 3, 1], spacing=1.0)
self.net.add_model_collection(
op.models.collections.geometry.spheres_and_cylinders)
self.net.regenerate_models()
self.net['pore.volume'] = 1e-14
self.phase = op.phase.Phase(network=self.net)
self.phase['pore.molar_density'] = 55500
self.phase['throat.diffusive_conductance'] = 1e-15
self.alg = op.algorithms.TransientFickianDiffusion(network=self.net,
phase=self.phase)
self.alg.settings._update({'quantity': 'pore.concentration',
'conductance': 'throat.diffusive_conductance'})
self.alg.set_value_BC(pores=self.net.pores('right'), values=1)
self.alg.set_value_BC(pores=self.net.pores('left'), values=0)
def test_transient_fickian_diffusion_intermediate_time(self):
self.alg.run(x0=0, tspan=(0, 10))
desired = 0.40803
actual = self.alg.x.mean()
assert_allclose(actual, desired, rtol=1e-5)
def test_transient_fickian_diffusion_steady_state(self):
self.alg.run(x0=0, tspan=(0, 200)) # pick a relatively large tend
desired = (1 + 0) / 2 # steady value = avearge of BCs
actual = self.alg.x.mean()
assert_allclose(actual, desired, rtol=1e-5)
def teardown_class(self):
ws = op.Workspace()
ws.clear()
if __name__ == '__main__':
t = TransientFickianDiffusionTest()
t.setup_class()
for item in t.__dir__():
if item.startswith('test'):
print(f'Running test: {item}')
t.__getattribute__(item)()
self = t
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