| 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)) |
| desired = (1 + 0) / 2 |
| 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 |
|
|
