[cig-commits] r16687 - short/3D/PyLith/benchmarks/trunk/dynamic/scecdynrup/tpv10-2d

[surendra at geodynamics.org]

Author: surendra
Date: 2010-05-11 14:48:45 -0700 (Tue, 11 May 2010)
New Revision: 16687

Added:
   short/3D/PyLith/benchmarks/trunk/dynamic/scecdynrup/tpv10-2d/tabulate_onfaultdata.py
Log:
Added post-processing python script for tpv10-2d

Added: short/3D/PyLith/benchmarks/trunk/dynamic/scecdynrup/tpv10-2d/tabulate_onfaultdata.py
===================================================================
--- short/3D/PyLith/benchmarks/trunk/dynamic/scecdynrup/tpv10-2d/tabulate_onfaultdata.py	                        (rev 0)
+++ short/3D/PyLith/benchmarks/trunk/dynamic/scecdynrup/tpv10-2d/tabulate_onfaultdata.py	2010-05-11 21:48:45 UTC (rev 16687)
@@ -0,0 +1,124 @@
+#!/usr/bin/env python
+#
+# ----------------------------------------------------------------------
+#
+#                           Brad T. Aagaard
+#                        U.S. Geological Survey
+#
+# <LicenseText>
+#
+# ----------------------------------------------------------------------
+#
+
+cell = "quad4"
+dx = 100
+dt = 0.05
+
+outputRoot = "output/%s_%3dm" % (cell,dx)
+outdir = "scecfiles/%s_%3dm/" % (cell,dx)
+
+import numpy
+import time
+
+from pylith.utils.VTKDataReader import VTKDataReader
+
+# ----------------------------------------------------------------------
+timestamps = numpy.arange(50,15001,50)
+targets = numpy.array([[ 0.0000000, 0.0000000, 0.0000000],
+                       [ -750.0000000, -1299.0381057, 0.0000000],
+                       [ -1500.0000000, -2598.0762114, 0.0000000],
+                       [ -2250.0000000, -3897.1143170, 0.0000000],
+                       [ -3750.0000000, -6495.1905284, 0.0000000],
+                       [ -6000.0000000, -10392.3048454, 0.0000000]])
+    
+
+reader = VTKDataReader()
+tolerance = 1.0e-6
+
+# Get vertices and find indices of target locations
+filename = "%s-fault_t%05d.vtk" % (outputRoot,timestamps[0])
+data = reader.read(filename)
+
+vertices = numpy.array(data['vertices'])
+ntargets = targets.shape[0]
+indices = []
+for target in targets:
+    dist = ( (vertices[:,0]-target[0])**2 + 
+             (vertices[:,1]-target[1])**2 +
+             (vertices[:,2]-target[2])**2 )**0.5
+    min = numpy.min(dist)
+    indices.append(numpy.where(dist <= min+tolerance)[0][0])
+
+print "Indices", indices
+print "Coordinates of selected points:",vertices[indices,:]
+
+# Extract values
+nsteps = timestamps.shape[0]
+slip = numpy.zeros((nsteps,ntargets,3))  # 3-D array (time, targets, components)
+slip_rate = numpy.zeros((nsteps,ntargets,3))
+traction = numpy.zeros((nsteps,ntargets,3))
+itime = 0
+for timestamp in timestamps:
+    filename = "%s-fault_t%05d.vtk" % (outputRoot,timestamp)
+#    print "filename", filename
+    data = reader.read(filename)
+    fields = data['vertex_fields']
+    slip[itime,0:ntargets,:] = fields['slip'][indices,:].squeeze()
+    slip_rate[itime,0:ntargets,:] = fields['slip_rate'][indices,:].squeeze()
+    traction[itime,0:ntargets,:] = fields['traction'][indices,:].squeeze()
+    itime += 1
+
+
+# Write data
+headerA = \
+    "# problem = TPV205\n" + \
+    "# author = Surendra N. Somala\n" + \
+    "# date = %s\n" % (time.asctime()) + \
+    "# code = PyLith\n" + \
+    "# code_version = 1.5.0a\n" + \
+    "# element_size = %s\n" % dx
+headerB = \
+    "# Time series in 8 columns of E14.6:\n" + \
+    "# Column #1 = time (s)\n" + \
+    "# Column #2 = horizontal right-lateral slip (m)\n" + \
+    "# Column #3 = horizontal right-lateral slip rate (m/s)\n" + \
+    "# Column #4 = horizontal right-lateral shear stress (MPa)\n" + \
+    "# Column #5 = vertical up-dip slip (m)\n" + \
+    "# Column #6 = vertical up-dip slip-rate (m/s)\n" + \
+    "# Column #7 = vertical up-dip shear stress (MPa)\n" + \
+    "# Column #8 = normal stress (MPa)\n" + \
+    "#\n" + \
+    "# Data fields\n" + \
+    "t h-slip h-slip-rate h-shear-stress v-slip v-slip-rate v-shear-stress n-stress \n" + \
+    "#\n"
+
+locHeader = "# location = on fault, %3.1f km along strike and %3.1f km depth\n"
+locName = "st%03ddp%03d"
+
+lengthScale = 1000.0
+timeScale = 1000.0
+dip = -2*targets[:,0] / lengthScale
+strike = targets[:,2] / lengthScale
+time =  timestamps / timeScale
+print "time", time
+
+for iloc in xrange(ntargets):
+    pt = locName % (round(10*strike[iloc]), 
+                    round(10*dip[iloc]))
+    filename = "%sfault%s.dat" % (outdir,pt)
+    fout = open(filename, 'w');
+    fout.write(headerA)
+    fout.write("# time_step = %14.6E\n" % dt)
+    fout.write("# num_timesteps = %8d\n" % nsteps)
+    fout.write(locHeader % (strike[iloc], dip[iloc]))
+    fout.write(headerB)
+    data = numpy.transpose((time, 
+                            slip[:,iloc,2],
+                            slip_rate[:,iloc,2],
+                            traction[:,iloc,2]/1e+6,
+                            slip[:,iloc,0],
+                            slip_rate[:,iloc,0],
+                            traction[:,iloc,0]/1e+6,
+                            +traction[:,iloc,1]/1e+6))
+    numpy.savetxt(fout, data, fmt='%14.6e')
+    fout.close()