Merge branch 'remove-grain-growth' into 'development'
grain growth not maintained and has issues See merge request damask/DAMASK!510
This commit is contained in:
commit
a6e78c5b66
|
@ -1,178 +0,0 @@
|
|||
#!/usr/bin/env python3
|
||||
|
||||
import os
|
||||
import sys
|
||||
from io import StringIO
|
||||
from optparse import OptionParser
|
||||
|
||||
import numpy as np
|
||||
from scipy import ndimage
|
||||
|
||||
import damask
|
||||
|
||||
|
||||
scriptName = os.path.splitext(os.path.basename(__file__))[0]
|
||||
scriptID = ' '.join([scriptName,damask.version])
|
||||
|
||||
|
||||
getInterfaceEnergy = lambda A,B: np.float32((A != B)*1.0) # 1.0 if A & B are distinct, 0.0 otherwise
|
||||
struc = ndimage.generate_binary_structure(3,1) # 3D von Neumann neighborhood
|
||||
|
||||
|
||||
#--------------------------------------------------------------------------------------------------
|
||||
# MAIN
|
||||
#--------------------------------------------------------------------------------------------------
|
||||
|
||||
parser = OptionParser(option_class=damask.extendableOption, usage='%prog option(s) [geomfile(s)]', description = """
|
||||
Smoothen interface roughness by simulated curvature flow.
|
||||
This is achieved by the diffusion of each initially sharply bounded grain volume within the periodic domain
|
||||
up to a given distance 'd' voxels.
|
||||
The final geometry is assembled by selecting at each voxel that grain index for which the concentration remains largest.
|
||||
References 10.1073/pnas.1111557108 (10.1006/jcph.1994.1105)
|
||||
|
||||
""", version = scriptID)
|
||||
|
||||
parser.add_option('-d', '--distance',
|
||||
dest = 'd',
|
||||
type = 'float', metavar = 'float',
|
||||
help = 'diffusion distance in voxels [%default]')
|
||||
parser.add_option('-N', '--iterations',
|
||||
dest = 'N',
|
||||
type = 'int', metavar = 'int',
|
||||
help = 'curvature flow iterations [%default]')
|
||||
parser.add_option('-i', '--immutable',
|
||||
action = 'extend', dest = 'immutable', metavar = '<int LIST>',
|
||||
help = 'list of immutable material indices')
|
||||
parser.add_option('--ndimage',
|
||||
dest = 'ndimage', action='store_true',
|
||||
help = 'use ndimage.gaussian_filter in lieu of explicit FFT')
|
||||
|
||||
parser.set_defaults(d = 1,
|
||||
N = 1,
|
||||
immutable = [],
|
||||
ndimage = False,
|
||||
)
|
||||
|
||||
(options, filenames) = parser.parse_args()
|
||||
|
||||
options.immutable = list(map(int,options.immutable))
|
||||
|
||||
|
||||
if filenames == []: filenames = [None]
|
||||
|
||||
for name in filenames:
|
||||
damask.util.report(scriptName,name)
|
||||
|
||||
geom = damask.Grid.load(StringIO(''.join(sys.stdin.read())) if name is None else name)
|
||||
|
||||
grid_original = geom.cells
|
||||
damask.util.croak(geom)
|
||||
material = np.tile(geom.material,np.where(grid_original == 1, 2,1)) # make one copy along dimensions with grid == 1
|
||||
grid = np.array(material.shape)
|
||||
|
||||
# --- initialize support data ---------------------------------------------------------------------
|
||||
|
||||
# store a copy of the initial material indices to find locations of immutable indices
|
||||
material_original = np.copy(material)
|
||||
|
||||
if not options.ndimage:
|
||||
X,Y,Z = np.mgrid[0:grid[0],0:grid[1],0:grid[2]]
|
||||
|
||||
# Calculates gaussian weights for simulating 3d diffusion
|
||||
gauss = np.exp(-(X*X + Y*Y + Z*Z)/(2.0*options.d*options.d),dtype=np.float32) \
|
||||
/np.power(2.0*np.pi*options.d*options.d,(3.0 - np.count_nonzero(grid_original == 1))/2.,dtype=np.float32)
|
||||
|
||||
gauss[:,:,:grid[2]//2:-1] = gauss[:,:,1:(grid[2]+1)//2] # trying to cope with uneven (odd) grid size
|
||||
gauss[:,:grid[1]//2:-1,:] = gauss[:,1:(grid[1]+1)//2,:]
|
||||
gauss[:grid[0]//2:-1,:,:] = gauss[1:(grid[0]+1)//2,:,:]
|
||||
gauss = np.fft.rfftn(gauss).astype(np.complex64)
|
||||
|
||||
for smoothIter in range(options.N):
|
||||
|
||||
interfaceEnergy = np.zeros(material.shape,dtype=np.float32)
|
||||
for i in (-1,0,1):
|
||||
for j in (-1,0,1):
|
||||
for k in (-1,0,1):
|
||||
# assign interfacial energy to all voxels that have a differing neighbor (in Moore neighborhood)
|
||||
interfaceEnergy = np.maximum(interfaceEnergy,
|
||||
getInterfaceEnergy(material,np.roll(np.roll(np.roll(
|
||||
material,i,axis=0), j,axis=1), k,axis=2)))
|
||||
|
||||
# periodically extend interfacial energy array by half a grid size in positive and negative directions
|
||||
periodic_interfaceEnergy = np.tile(interfaceEnergy,(3,3,3))[grid[0]//2:-grid[0]//2,
|
||||
grid[1]//2:-grid[1]//2,
|
||||
grid[2]//2:-grid[2]//2]
|
||||
|
||||
# transform bulk volume (i.e. where interfacial energy remained zero), store index of closest boundary voxel
|
||||
index = ndimage.morphology.distance_transform_edt(periodic_interfaceEnergy == 0.,
|
||||
return_distances = False,
|
||||
return_indices = True)
|
||||
|
||||
# want array index of nearest voxel on periodically extended boundary
|
||||
periodic_bulkEnergy = periodic_interfaceEnergy[index[0],
|
||||
index[1],
|
||||
index[2]].reshape(2*grid) # fill bulk with energy of nearest interface
|
||||
|
||||
if options.ndimage:
|
||||
periodic_diffusedEnergy = ndimage.gaussian_filter(
|
||||
np.where(ndimage.morphology.binary_dilation(periodic_interfaceEnergy > 0.,
|
||||
structure = struc,
|
||||
iterations = int(round(options.d*2.))-1, # fat boundary
|
||||
),
|
||||
periodic_bulkEnergy, # ...and zero everywhere else
|
||||
0.),
|
||||
sigma = options.d)
|
||||
else:
|
||||
diffusedEnergy = np.fft.irfftn(np.fft.rfftn(
|
||||
np.where(
|
||||
ndimage.morphology.binary_dilation(interfaceEnergy > 0.,
|
||||
structure = struc,
|
||||
iterations = int(round(options.d*2.))-1),# fat boundary
|
||||
periodic_bulkEnergy[grid[0]//2:-grid[0]//2, # retain filled energy on fat boundary...
|
||||
grid[1]//2:-grid[1]//2,
|
||||
grid[2]//2:-grid[2]//2], # ...and zero everywhere else
|
||||
0.)).astype(np.complex64) *
|
||||
gauss).astype(np.float32)
|
||||
|
||||
periodic_diffusedEnergy = np.tile(diffusedEnergy,(3,3,3))[grid[0]//2:-grid[0]//2,
|
||||
grid[1]//2:-grid[1]//2,
|
||||
grid[2]//2:-grid[2]//2] # periodically extend the smoothed bulk energy
|
||||
|
||||
|
||||
# transform voxels close to interface region
|
||||
index = ndimage.morphology.distance_transform_edt(periodic_diffusedEnergy >= 0.95*np.amax(periodic_diffusedEnergy),
|
||||
return_distances = False,
|
||||
return_indices = True) # want index of closest bulk grain
|
||||
|
||||
periodic_material = np.tile(material,(3,3,3))[grid[0]//2:-grid[0]//2,
|
||||
grid[1]//2:-grid[1]//2,
|
||||
grid[2]//2:-grid[2]//2] # periodically extend the geometry
|
||||
|
||||
material = periodic_material[index[0],
|
||||
index[1],
|
||||
index[2]].reshape(2*grid)[grid[0]//2:-grid[0]//2,
|
||||
grid[1]//2:-grid[1]//2,
|
||||
grid[2]//2:-grid[2]//2] # extent grains into interface region
|
||||
|
||||
# replace immutable materials with closest mutable ones
|
||||
index = ndimage.morphology.distance_transform_edt(np.in1d(material,options.immutable).reshape(grid),
|
||||
return_distances = False,
|
||||
return_indices = True)
|
||||
material = material[index[0],
|
||||
index[1],
|
||||
index[2]]
|
||||
|
||||
immutable = np.zeros(material.shape, dtype=np.bool)
|
||||
# find locations where immutable materials have been in original structure
|
||||
for micro in options.immutable:
|
||||
immutable += material_original == micro
|
||||
|
||||
# undo any changes involving immutable materials
|
||||
material = np.where(immutable, material_original,material)
|
||||
|
||||
damask.Grid(material = material[0:grid_original[0],0:grid_original[1],0:grid_original[2]],
|
||||
size = geom.size,
|
||||
origin = geom.origin,
|
||||
comments = geom.comments + [scriptID + ' ' + ' '.join(sys.argv[1:])],
|
||||
)\
|
||||
.save(sys.stdout if name is None else name)
|
Loading…
Reference in New Issue