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tvisualize mean pressures as time series (incomplete) - sphere - GPU-based 3D d… |
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git clone git://src.adamsgaard.dk/sphere |
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commit c502aa76c0c7154f05fe425ad4f16f60743ba3d2 |
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parent 64696bcfffc330d89cebbd151b578e8b282282ca |
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Author: Anders Damsgaard <[email protected]> |
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Date: Wed, 1 Oct 2014 12:39:41 +0200 |
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visualize mean pressures as time series (incomplete) |
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Diffstat: |
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A python/shear-results-pressures.py | 76 +++++++++++++++++++++++++++++… |
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1 file changed, 76 insertions(+), 0 deletions(-) |
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diff --git a/python/shear-results-pressures.py b/python/shear-results-pressures… |
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t@@ -0,0 +1,76 @@ |
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+#!/usr/bin/env python |
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+import matplotlib |
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+matplotlib.use('Agg') |
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+matplotlib.rcParams.update({'font.size': 18, 'font.family': 'serif'}) |
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+matplotlib.rc('text', usetex=True) |
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+matplotlib.rcParams['text.latex.preamble']=[r"\usepackage{amsmath}"] |
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+import shutil |
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+ |
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+import os |
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+import numpy |
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+import sphere |
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+from permeabilitycalculator import * |
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+import matplotlib.pyplot as plt |
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+from matplotlib.ticker import MaxNLocator |
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+ |
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+matplotlib.rcParams['image.cmap'] = 'bwr' |
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+ |
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+sigma0 = float(sys.argv[1]) |
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+#c_grad_p = 1.0 |
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+c_grad_p = float(sys.argv[2]) |
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+c_phi = 1.0 |
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+ |
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+sid = 'shear-sigma0=' + str(sigma0) + '-c_phi=' + \ |
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+ str(c_phi) + '-c_grad_p=' + str(c_grad_p) + '-hi_mu-lo_visc' |
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+sim = sphere.sim(sid, fluid=True) |
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+sim.readfirst(verbose=False) |
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+ |
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+# cell midpoint cell positions |
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+zpos_c = numpy.zeros(sim.num[2]) |
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+dz = sim.L[2]/sim.num[2] |
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+for i in numpy.arange(sim.num[2]): |
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+ zpos_c[i] = i*dz + 0.5*dz |
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+ |
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+shear_strain = numpy.zeros(sim.status()) |
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+ |
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+dev_pres = numpy.zeros((sim.num[2], sim.status())) |
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+ |
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+for i in numpy.arange(sim.status()): |
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+ |
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+ sim.readstep(i, verbose=False) |
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+ |
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+ ''' |
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+ dev_pres[:,i] = numpy.average(numpy.average(sim.p_f, axis=0), axis=0) |
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+ |
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+ for z in numpy.arange(0, sim.w_x[0]+1): |
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+ pres_static = (sim.w_x[0] - zpos_c[z])*sim.rho_f*numpy.abs(sim.g[2])\ |
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+ + sim.p_f[0,0,-1] |
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+ dev_pres[z,i] -= pres_static |
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+ ''' |
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+ dev_pres[:,i] = numpy.arange(0, sim.num[2]) |
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+ |
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+ shear_strain[i] = sim.shearStrain() |
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+ |
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+ |
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+#fig = plt.figure(figsize=(8,4*(len(steps))+1)) |
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+fig = plt.figure(figsize=(8,6)) |
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+ |
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+plt.pcolormesh(shear_strain, zpos_c, dev_pres/1000.0, rasterized=True) |
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+plt.xlim([0, shear_strain[-1]]) |
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+plt.ylim([zpos_c[0], sim.w_x[0]]) |
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+plt.xlabel('Shear strain $\\gamma$ [-]') |
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+plt.ylabel('Vertical position $z$ [m]') |
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+cb = plt.colorbar() |
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+cb.set_label('Deviatoric pressure $p_\\text{f}$ [kPa]') |
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+cb.solids.set_rasterized(True) |
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+ |
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+ |
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+#plt.MaxNLocator(nbins=4) |
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+plt.tight_layout() |
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+plt.subplots_adjust(wspace = .05) |
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+#plt.MaxNLocator(nbins=4) |
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+ |
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+filename = 'shear-' + str(int(sigma0/1000.0)) + 'kPa-pressures.pdf' |
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+plt.savefig(filename) |
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+shutil.copyfile(filename, '/home/adc/articles/own/2-org/' + filename) |
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+print(filename) |
