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Correct material property definitions in n88pistoia #6

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Correct material property definitions in n88pistoia #6

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45 changes: 28 additions & 17 deletions n88tools/pistoia.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@

from __future__ import division
import sys
from .N88ReportedError import N88ReportedError
from n88tools.N88ReportedError import N88ReportedError
import numpy
from numpy.core import *

Expand Down Expand Up @@ -249,7 +249,7 @@ def StatsTable (data, stats, labels=None):
values = []
for i in range(num_col):
values.append (CalculateStats(data[:,i], stats))
for v in values[0].keys():
for v in list(values[0].keys()):
row_values = []
for i in range(num_col):
row_values.append (values[i][v])
Expand Down Expand Up @@ -335,28 +335,37 @@ def StatsTable (data, stats, labels=None):
matNames = materialTable.variables['MaterialName'][:]
for id,matName in zip (materialIds, matNames):
material = materialDefinitions.groups[matName]
if material.Type == "LinearIsotropic":
modulus_value = material.E
elif material.Type == "LinearOrthotropic":
modulus_value = max(material.E)
if hasattr(material, 'E'):
if material.Type == "LinearIsotropic":
modulus_value = material.E
elif material.Type == "LinearOrthotropic":
modulus_value = max(material.E)
else:
raise N88ReportedError ("ERROR: Unsupported material type for Pistoia calculation: %s" % material.Type)
indices = numpy.nonzero(elementMaterials == id)
modulus[indices] = modulus_value
else:
raise N88ReportedError ("ERROR: Unsupported material type for Pistoia calculation: %s" % material.Type)
indices = numpy.nonzero(elementMaterials == id)
modulus[indices] = modulus_value
if material.Type != "LinearIsotropic":
raise N88ReportedError ("ERROR: Unsupported material type for Pistoia calculation: %s" % material.Type)

modulus_values = numpy.array(material.variables['E'][:])
for i, E in enumerate(modulus_values):
indices = numpy.nonzero(elementMaterials == i)
modulus[indices] = E
sed = zeros (elementValues.variables["StrainEnergyDensity"].shape, float64)
sed[:] = elementValues.variables["StrainEnergyDensity"][:]
if mask != None:
if mask is not None:
sed = numpy.ma.MaskedArray (sed, mask)
modulus = numpy.ma.MaskedArray (modulus, mask)
ees = sqrt(2*sed/modulus)
del sed
if mask == None:
if mask is None:
numberOfSelectedElements = numberOfElements
else:
numberOfSelectedElements = ees.count()
if numberOfSelectedElements == 0:
raise N88ReportedError ("ERROR: No elements in selection.")
if mask == None:
if mask is None:
sort_indices = argsort (ees)
else:
sort_indices = ees.argsort(fill_value=inf)[:numberOfSelectedElements]
Expand Down Expand Up @@ -419,18 +428,20 @@ def StatsTable (data, stats, labels=None):
out.write ("Distribution of failed materials.\n")
out.write (subtable_delimiter)
g_mat_failed = elementMaterials[sort_indices[el:]]
nels_failed = zeros (sizeOfMaterialTable, int)
for m in range(sizeOfMaterialTable):
nels_failed[m] = sum (g_mat_failed == materialIds[m])
unique_materials = numpy.unique(elementMaterials)
nMaterials = len(unique_materials)
nels_failed = zeros (nMaterials, int)
for i,m in enumerate(unique_materials):
nels_failed[i] = sum(g_mat_failed == m)
total = sum(nels_failed)
col_width = 12
left_margin = (width - 3*col_width)//2
heading_format = " "*left_margin + ("%%%ds" % col_width)*3 + "\n"
table_line = "-"*10
row_format = " "*left_margin + "%%%ds" % col_width + "%%%dd" % col_width + "%%%d.2f" % col_width + "\n"
out.write (heading_format % ("material","# els","%"))
for m in range(sizeOfMaterialTable):
out.write (row_format % (materialIds[m], nels_failed[m], numpy.float64(100)*nels_failed[m]/total))
for i,m in enumerate(unique_materials):
out.write (row_format % (m, nels_failed[i], numpy.float64(100)*nels_failed[i]/total))
out.write (heading_format % ((table_line,)*3))
out.write (row_format % ("total",total,100))

Expand Down