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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 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | import numpy as np
import openpnm as op
from numpy.testing import assert_allclose
class DiffusiveConductanceTest:
def setup_class(self):
self.net = op.network.Cubic(shape=[5, 5, 5])
self.net['pore.diameter'] = 1.0
self.net['throat.diameter'] = 0.5
self.net['pore.area'] = 1.0
self.net['throat.cross_sectional_area'] = 1.0
self.phase = op.phase.Phase(network=self.net)
self.phase['pore.diffusivity'] = 1.3
self.phase['pore.molecular_weight'] = 0.029
self.phase['pore.temperature'] = 345.0
self.size_factors = np.ones([self.net.Nt, 3])*(0.123, 0.981, 0.551)
def test_generic_diffusive_size_factors_as_dict(self):
self.net['throat.diffusive_size_factors'] = self.size_factors
mod = op.models.physics.diffusive_conductance.generic_diffusive
self.phase.add_model(propname='throat.diffusive_conductance', model=mod)
self.phase.regenerate_models()
actual = self.phase['throat.diffusive_conductance'].mean()
assert_allclose(actual, desired=0.091204832 * 1.3)
del self.net["throat.diffusive_size_factors"]
def test_generic_diffusive_size_factors_as_array(self):
self.net['throat.diffusive_size_factors'] = 0.896
mod = op.models.physics.diffusive_conductance.generic_diffusive
self.phase.add_model(propname='throat.diffusive_conductance', model=mod)
self.phase.regenerate_models()
actual = self.phase['throat.diffusive_conductance'].mean()
assert_allclose(actual, desired=0.896 * 1.3)
del self.net["throat.diffusive_size_factors"]
def test_generic_diffusive_partial_domain(self):
net = op.network.Cubic(shape=[5, 5, 5])
phase = op.phase.Phase(network=net)
phase.set_label('pore.left', pores=net['pore.left'])
phase.set_label(label='left',
throats=net.find_neighbor_throats(net.pores('left')))
phase['pore.diffusivity'] = 1.3
net['throat.diffusive_size_factors'] = 0.5
mod = op.models.physics.diffusive_conductance.generic_diffusive
phase.add_model(propname='throat.diffusive_conductance',
model=mod,
domain='left',
regen_mode='deferred')
phase.regenerate_models()
actual = phase['throat.diffusive_conductance'].mean()
# assert_allclose(actual, 0.65)
# assert len(phase['throat.diffusive_conductance']) == 5
def test_ordinary_diffusion_size_factors_given_as_dict(self):
self.net['throat.diffusive_size_factors'] = self.size_factors
mod = op.models.physics.diffusive_conductance.ordinary_diffusion
self.phase.add_model(propname='throat.diffusive_conductance', model=mod)
self.phase.regenerate_models()
actual = self.phase['throat.diffusive_conductance'].mean()
assert_allclose(actual, desired=0.091204832 * 1.3)
del self.net["throat.diffusive_size_factors"]
def test_ordinary_diffusion_size_factors_given_as_array(self):
self.net['throat.diffusive_size_factors'] = 0.896
mod = op.models.physics.diffusive_conductance.ordinary_diffusion
self.phase.add_model(propname='throat.diffusive_conductance', model=mod)
self.phase.regenerate_models()
actual = self.phase['throat.diffusive_conductance'].mean()
assert_allclose(actual, desired=0.896 * 1.3)
del self.net["throat.diffusive_size_factors"]
def test_mixed_diffusion(self):
self.net['throat.diffusive_size_factors'] = self.size_factors
mod = op.models.physics.diffusive_conductance.mixed_diffusion
self.phase.add_model(propname='throat.diffusive_conductance', model=mod)
self.phase.regenerate_models()
actual = self.phase['throat.diffusive_conductance'].mean()
assert_allclose(actual, desired=0.117568, rtol=1e-5)
del self.net["throat.diffusive_size_factors"]
# def test_multiphase_diffusion(self):
# net = op.network.Cubic(shape=[1, 6, 1])
# net['throat.diffusive_size_factors'] = self.size_factors_dict
# air = op.phase.Air(network=net)
# water = op.phase.Water(network=net)
# water['pore.diffusivity'] = 1e-11
# from openpnm import contrib
# m = contrib.MultiPhase(network=net, phases=[air, water])
# m.set_occupancy(phase=air, pores=[0, 1, 2])
# m.set_occupancy(phase=water, pores=[3, 4, 5])
# const = op.models.misc.constant
# K_water_air = 0.5
# m.set_binary_partition_coef(phases=[water, air], model=const, value=K_water_air)
# m._set_automatic_throat_occupancy()
# mdiff = op.models.physics.diffusive_conductance.multiphase_diffusion
# m.add_model(propname="throat.diffusive_conductance", model=mdiff)
# g = m["throat.diffusive_conductance"]
# # Diffusive conductance for MultiPhase must be Nt by 2 (not Nt by 1)
# assert g.shape == (net.Nt, 2)
# # Columns 1, 2 of conductance must be equal except for interface throat
# assert_allclose(g[:, 0][[0, 1, 3, 4]], g[:, 1][[0, 1, 3, 4]])
# # G12 and G21 at interface must differ (ratio must be K_water_air)
# assert_allclose(g[2, 0] / g[2, 1], 1 / K_water_air)
# assert_allclose(g.mean(), 7.64303956e-7, rtol=1e-5)
def test_taylor_aris_diffusion(self):
self.net['throat.diffusive_size_factors'] = self.size_factors
self.phase['pore.pressure'] = np.linspace(0, 20, self.net.Np)
self.phase['throat.hydraulic_conductance'] = 1
mod = op.models.physics.diffusive_conductance.taylor_aris_diffusion
self.phase.add_model(propname='throat.diffusive_conductance', model=mod)
self.phase.regenerate_models()
actual = np.array([
self.phase['throat.diffusive_conductance'].mean(),
self.phase['throat.diffusive_conductance'].max(),
self.phase['throat.diffusive_conductance'].min()]
)
desired = np.array([0.121193, 0.126131, 0.118578])
assert_allclose(actual, desired, rtol=1e-5)
if __name__ == '__main__':
t = DiffusiveConductanceTest()
self = t
t.setup_class()
for item in t.__dir__():
if item.startswith('test'):
print(f'Running test: {item}')
t.__getattribute__(item)()
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