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)()