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tNeumann tests pass - sphere - GPU-based 3D discrete element method algorithm w… |
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git clone git://src.adamsgaard.dk/sphere |
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LICENSE |
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--- |
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commit ddb69d1d3af5f0452a6a5d96f229513acb4320d2 |
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parent 3cba4eeb49ac21221e20a93f576466bb220f6c2c |
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Author: Anders Damsgaard <[email protected]> |
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Date: Sat, 28 Jun 2014 15:06:48 +0200 |
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Neumann tests pass |
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Diffstat: |
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M tests/cfd_tests_neumann.py | 13 +++++++------ |
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1 file changed, 7 insertions(+), 6 deletions(-) |
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--- |
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diff --git a/tests/cfd_tests_neumann.py b/tests/cfd_tests_neumann.py |
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t@@ -10,7 +10,6 @@ print('### CFD tests - Dirichlet/Neumann BCs ###') |
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print('''# Neumann bottom, Dirichlet top BC. |
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# No gravity, no pressure gradients => no flow''') |
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-''' |
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orig = sphere.sim("neumann", fluid = True) |
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cleanup(orig) |
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orig.defaultParams(mu_s = 0.4, mu_d = 0.4) |
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t@@ -22,7 +21,7 @@ py = sphere.sim(sid = orig.sid, fluid = True) |
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orig.bc_bot[0] = 1 # No-flow BC at bottom (Neumann) |
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#orig.run(dry=True) |
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orig.run(verbose=False) |
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-orig.writeVTKall() |
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+#orig.writeVTKall() |
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py.readlast(verbose = False) |
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ones = numpy.ones((orig.num)) |
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py.readlast(verbose = False) |
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t@@ -38,7 +37,6 @@ else: |
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print(numpy.mean(py.v_f)) |
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print(numpy.max(py.v_f)) |
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raise Exception("Failed") |
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-''' |
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print('''# Neumann bottom, Dirichlet top BC. |
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# Gravity, pressure gradients => transient flow''') |
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t@@ -46,16 +44,19 @@ orig = sphere.sim("neumann", fluid = True) |
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orig.defaultParams(mu_s = 0.4, mu_d = 0.4) |
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orig.defineWorldBoundaries([0.4, 0.4, 1], dx = 0.1) |
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orig.initFluid(mu = 8.9e-4) |
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-orig.initTemporal(total = 0.5, file_dt = 0.05, dt = 1.0e-4) |
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+orig.initTemporal(total = 0.05, file_dt = 0.005, dt = 1.0e-4) |
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py = sphere.sim(sid = orig.sid, fluid = True) |
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orig.g[2] = -10.0 |
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orig.bc_bot[0] = 1 # No-flow BC at bottom (Neumann) |
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#orig.run(dry=True) |
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orig.run(verbose=False) |
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-orig.writeVTKall() |
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+#orig.writeVTKall() |
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py.readlast(verbose = False) |
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+#ideal_grad_p_z = numpy.linspace( |
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+# orig.p_f[0,0,0] + orig.L[2]*orig.rho_f*numpy.abs(orig.g[2]), |
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+# orig.p_f[0,0,-1], orig.num[2]) |
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ideal_grad_p_z = numpy.linspace( |
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- orig.p_f[0,0,0] + orig.L[2]*orig.rho_f*numpy.abs(orig.g[2]), |
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+ orig.p_f[0,0,0] + (orig.L[2]-orig.L[2]/orig.num[2])*orig.rho_f*numpy.a… |
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orig.p_f[0,0,-1], orig.num[2]) |
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compareNumpyArraysClose(ideal_grad_p_z, py.p_f[0,0,:], |
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"Pressure gradient:\t", tolerance=1.0e2) |
