tconsolidation-curves.py - sphere - GPU-based 3D discrete element method algorithm with optional fluid coupling
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tconsolidation-curves.py (1289B)
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1 #!/usr/bin/env python
2 import sphere
3 import numpy
4 import sys
5
6 # launch with:
7 # $ python consolidation-curves <DEVICE> <C_PHI> <C_GRAD_P>
8
9 # Unique simulation parameters
10 device = int(sys.argv[1])
11 c_phi = float(sys.argv[2])
12 c_grad_p = float(sys.argv[3])
13
14 sim = sphere.sim('cons-sigma0=' + str(5.0e3) + '-c_phi=' + \
15 str(c_phi) + '-c_grad_p=' + str(c_grad_p), fluid=True)
16 sim.readlast()
17
18 sigma0 = 10.0e3
19 sim.sid = 'cons-sigma0=' + str(sigma0) + '-c_phi=' + str(c_phi) + \
20 '-c_grad_p=' + str(c_grad_p) + '-tall'
21 print('\n###### ' + sim.sid + ' ######')
22
23 # Checkerboard colors
24 sim.checkerboardColors()
25 sim.cleanup()
26 #sim.adjustUpperWall()
27 sim.zeroKinematics()
28
29 #sim.consolidate(normal_stress = sigma0)
30 sim.w_sigma0[0] = sigma0
31
32 sim.L[2] *= 2.0
33 sim.num[2] *= 2
34 sim.initFluid(mu = 17.87e-4, p = 1.0e5, hydrostatic = True)
35 #sim.setFluidBottomNoFlow()
36 #sim.setFluidTopFixedPressure()
37 sim.setDEMstepsPerCFDstep(10)
38 sim.setMaxIterations(2e5)
39 sim.initTemporal(total = 10.0, file_dt = 0.01, epsilon=0.07)
40 sim.c_grad_p[0] = c_grad_p
41 sim.c_phi[0] = c_phi
42
43 # Fix lowermost particles
44 #dz = sim.L[2]/sim.num[2]
45 #I = numpy.nonzero(sim.x[:,2] < 1.5*dz)
46 #sim.fixvel[I] = 1
47
48 sim.run(dry=True)
49 sim.run(device=device)
50 #sim.writeVTKall()
51 #sim.visualize('walls')
52 #sim.visualize('fluid-pressure')