OpenPNM / data /tests /unit /algorithms /TransientAdvectionDiffusionTest.py
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import openpnm as op
from numpy.testing import assert_allclose
class TransientAdvectionDiffusionTest:
def setup_class(self):
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.phase = op.phase.Phase(network=self.net)
self.phase['throat.diffusive_conductance'] = 1e-15
self.phase['throat.hydraulic_conductance'] = 1e-15
self.net['pore.volume'] = 1e-14
self.sf = op.algorithms.StokesFlow(network=self.net, phase=self.phase)
self.sf.settings._update({'quantity': 'pore.pressure',
'conductance': 'throat.hydraulic_conductance'})
self.sf.set_value_BC(pores=self.net.pores('right'), values=1)
self.sf.set_value_BC(pores=self.net.pores('left'), values=0)
self.sf.run()
self.phase[self.sf.settings['quantity']] = self.sf.x
mod = op.models.physics.ad_dif_conductance.ad_dif
self.phase.add_model(propname='throat.ad_dif_conductance', model=mod,
s_scheme='powerlaw')
self.phase.regenerate_models()
def test_transient_advection_diffusion(self):
ad = op.algorithms.TransientAdvectionDiffusion(network=self.net,
phase=self.phase)
ad.settings._update({
'quantity': 'pore.concentration',
'conductance': 'throat.ad_dif_conductance',
'diffusive_conductance': 'throat.diffusive_conductance',
'hydraulic_conductance': 'throat.hydraulic_conductance',
'pressure': 'pore.pressure'
})
ad.set_value_BC(pores=self.net.pores('right'), values=2)
ad.set_value_BC(pores=self.net.pores('left'), values=0)
ad.run(x0=0, tspan=(0, 1))
desired = 0.55642
actual = ad.x.mean()
assert_allclose(actual, desired, rtol=1e-5)
def teardown_class(self):
ws = op.Workspace()
ws.clear()
if __name__ == '__main__':
t = TransientAdvectionDiffusionTest()
t.setup_class()
self = t
for item in t.__dir__():
if item.startswith('test'):
print(f'Running test: {item}')
t.__getattribute__(item)()