DAMASK_EICMD/processing/post/addCompatibilityMismatch.py

87 lines
3.4 KiB
Python
Executable File

#!/usr/bin/env python3
import os
import sys
from io import StringIO
from optparse import OptionParser
import numpy as np
import damask
scriptName = os.path.splitext(os.path.basename(__file__))[0]
scriptID = ' '.join([scriptName,damask.version])
def shapeMismatch(size,F,nodes,centres):
"""
Routine to calculate the shape mismatch.
shape mismatch is defined as difference between the vectors from the central point to
the corners of reconstructed (combatible) volume element and the vectors calculated by deforming
the initial volume element with the current deformation gradient.
"""
delta = size/grid*.5
return + np.linalg.norm(nodes[:-1,:-1,:-1] -centres - np.dot(F,delta * np.array((-1,-1,-1))),axis=-1)\
+ np.linalg.norm(nodes[+1:,:-1,:-1] -centres - np.dot(F,delta * np.array((+1,-1,-1))),axis=-1)\
+ np.linalg.norm(nodes[+1:,+1:,:-1] -centres - np.dot(F,delta * np.array((+1,+1,-1))),axis=-1)\
+ np.linalg.norm(nodes[:-1,+1:,:-1] -centres - np.dot(F,delta * np.array((-1,+1,-1))),axis=-1)\
+ np.linalg.norm(nodes[:-1,:-1,+1:] -centres - np.dot(F,delta * np.array((-1,-1,+1))),axis=-1)\
+ np.linalg.norm(nodes[+1:,:-1,+1:] -centres - np.dot(F,delta * np.array((+1,-1,+1))),axis=-1)\
+ np.linalg.norm(nodes[+1:,+1:,+1:] -centres - np.dot(F,delta * np.array((+1,+1,+1))),axis=-1)\
+ np.linalg.norm(nodes[:-1,+1:,+1:] -centres - np.dot(F,delta * np.array((-1,+1,+1))),axis=-1)
# --------------------------------------------------------------------
# MAIN
# --------------------------------------------------------------------
parser = OptionParser(usage='%prog options [ASCIItable(s)]', description = """
Add column(s) containing the shape and volume mismatch resulting from given deformation gradient.
Operates on periodic three-dimensional x,y,z-ordered data sets.
""", version = scriptID)
parser.add_option('-c','--coordinates',
dest = 'pos',
type = 'string', metavar = 'string',
help = 'column heading of coordinates [%default]')
parser.add_option('-f','--defgrad',
dest = 'defgrad',
type = 'string', metavar = 'string ',
help = 'column heading of deformation gradient [%default]')
parser.add_option('--no-shape','-s',
dest = 'shape',
action = 'store_false',
help = 'omit shape mismatch')
parser.set_defaults(pos = 'pos',
defgrad = 'f',
shape = True,
volume = True,
)
(options,filenames) = parser.parse_args()
if filenames == []: filenames = [None]
for name in filenames:
damask.util.report(scriptName,name)
table = damask.Table.load(StringIO(''.join(sys.stdin.read())) if name is None else name)
grid,size,origin = damask.grid_filters.cellSizeOrigin_coordinates0_point(table.get(options.pos))
F = table.get(options.defgrad).reshape(tuple(grid)+(-1,),order='F').reshape(tuple(grid)+(3,3))
nodes = damask.grid_filters.coordinates_node(size,F)
if options.shape:
centers = damask.grid_filters.coordinates_point(size,F)
shapeMismatch = shapeMismatch(size,F,nodes,centers)
table = table.add('shapeMismatch(({}))'.format(options.defgrad),
shapeMismatch.reshape(-1,1,order='F'),
scriptID+' '+' '.join(sys.argv[1:]))
table.save((sys.stdout if name is None else name))