| import openpnm as op |
| import numpy as np |
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| |
| ws = op.Workspace() |
| proj = ws.new_project() |
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| |
| np.random.seed(7) |
| net = op.network.Cubic(shape=[51, 19, 1], spacing=1e-4, project=proj) |
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| |
| geo = op.geometry.SpheresAndCylinders(network=net, pores=net.Ps, throats=net.Ts) |
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| |
| phase = op.phase.Water(network=net) |
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| |
| phys = op.physics.GenericPhysics(network=net, phase=phase, geometry=geo) |
| phase['pore.diffusivity'] = 2e-09 |
| phase['throat.diffusivity'] = 2e-09 |
|
|
| mod = op.models.physics.diffusive_conductance.ordinary_diffusion |
| phys.add_model(propname='throat.diffusive_conductance', |
| model=mod, regen_mode='normal') |
|
|
| |
| fd = op.algorithms.TransientFickianDiffusion(network=net, phase=phase) |
| fd.set_value_BC(pores=net.pores('front'), values=0.5) |
| fd.set_value_BC(pores=net.pores('back'), values=0.1) |
| fd.run(x0=0, tspan=(0, 100), saveat=10) |
| phase.update(fd.results()) |
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| |
| phase.update(fd.results()) |
| proj.export_data(phases=[phase], filename='out', filetype='xdmf') |
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|
