now the program flow is working
This commit is contained in:
Martin Diehl
parent
a1162e6fb4
commit
fdb4f2ffea
|
|
@ -6,6 +6,8 @@ from scipy.optimize import curve_fit
|
|||
from scipy.linalg import svd
|
||||
import threading,time,os,subprocess,shlex
|
||||
import damask
|
||||
geomName='20grains16x16x16'
|
||||
popt1=np.ones(6,'d')
|
||||
|
||||
def execute(cmd,dir='./'):
|
||||
|
||||
|
|
@ -30,11 +32,11 @@ def Hill48(x, F,G,H,L,M,N):
|
|||
|
||||
def vonMises(x, S_y):
|
||||
sv=np.zeros(0,'d')
|
||||
for i in xrange(np.shape(x)[1]):
|
||||
U, l, Vh = svd(np.array(x[:,i]).reshape(3,3))
|
||||
for i in xrange(np.shape(x)[0]):
|
||||
U, l, Vh = svd(np.array(x[i,:]).reshape(3,3))
|
||||
sv = np.append(sv,l)
|
||||
sv = sv.reshape(3,np.shape(x)[1])
|
||||
ooo= (sv[2,:]-sv[1,:])**2+(sv[1,:]-sv[0,:])**2+(sv[0,:]-sv[2,:])**2-2*S_y**2
|
||||
sv = sv.reshape(np.shape(x)[0],3)
|
||||
ooo= (sv[:,2]-sv[:,1])**2+(sv[:,1]-sv[:,0])**2+(sv[:,0]-sv[:,2])**2-2*S_y**2
|
||||
return ooo
|
||||
|
||||
#---------------------------------------------------------------------------------------------------
|
||||
|
|
@ -85,13 +87,15 @@ class Criterion(object):
|
|||
|
||||
def fit(self,stress):
|
||||
try:
|
||||
popt, pcov = curve_fit(Hill48, stress, np.zeros(np.shape(stress)[1]))
|
||||
spopt1, pcov = curve_fit(Hill48, stress, np.zeros(np.shape(stress)[1]),p0=popt1)
|
||||
popt = popt1
|
||||
print 'Hill 48', popt
|
||||
print Hill48(stress,popt[0],popt[1],popt[2],popt[3],popt[4],popt[5])
|
||||
except Exception as detail:
|
||||
print detail
|
||||
pass
|
||||
popt, pcov = curve_fit(vonMises, stress, np.zeros(np.shape(stress)[1]))
|
||||
print 'von Mises', popt
|
||||
#popt, pcov = curve_fit(vonMises, stress, np.zeros(np.shape(stress)[0]))
|
||||
#print 'von Mises', popt
|
||||
|
||||
|
||||
#---------------------------------------------------------------------------------------------------
|
||||
|
|
@ -118,39 +122,53 @@ def doSim(delay,thread):
|
|||
|
||||
s.acquire()
|
||||
me=getLoadcase()
|
||||
print('generating loadcase for sim %i from %s'%(me,thread))
|
||||
f=open('%s.load'%me,'w')
|
||||
f.write(myLoad.getNext(me))
|
||||
f.close()
|
||||
|
||||
print('starting simulation %i from %s'%(me,thread))
|
||||
s.release()
|
||||
|
||||
execute('DAMASK_spectral -l %i -g 20grains16x16x16'%me)
|
||||
if not os.path.isfile('%s.load'%me):
|
||||
print('generating loadcase for sim %s from %s'%(me,thread))
|
||||
f=open('%s.load'%me,'w')
|
||||
f.write(myLoad.getNext(me))
|
||||
f.close()
|
||||
s.release()
|
||||
else: s.release()
|
||||
|
||||
s.acquire()
|
||||
if not os.path.isfile('%s_%s.spectralOut'%(geomName,me)):
|
||||
print('starting simulation %i from %s'%(me,thread))
|
||||
s.release()
|
||||
execute('DAMASK_spectral -l %i -g %i'%(me,geomName))
|
||||
else: s.release()
|
||||
|
||||
|
||||
s.acquire()
|
||||
print('startin post processing for sim %i from %s'%(me,thread))
|
||||
if not os.path.isfile('./postProc/%s_%s.txt'%(geomName,me)):
|
||||
print('starting post processing for sim %i from %s'%(me,thread))
|
||||
s.release()
|
||||
execute('postResults --cr f,p %i_%i.spectralOut'%(geomName,me))
|
||||
execute('addCauchy ./postProc/%i_%i.txt'%(geomName,me))
|
||||
execute('addStrainTensors -l -v ./postProc/%i_%i.txt'%(geomName,me))
|
||||
execute('addMises -s Cauchy -e ln(V) ./postProc/%i_%i.txt'%(geomName,me))
|
||||
else: s.release()
|
||||
|
||||
s.acquire()
|
||||
print('reading values for sim %i from %s'%(me,thread))
|
||||
s.release()
|
||||
execute('postResults --cr f,p 20grains16x16x16_%i.spectralOut'%me)
|
||||
execute('addCauchy ./postProc/20grains16x16x16_%i.txt'%me)
|
||||
execute('addStrainTensors -l -v ./postProc/20grains16x16x16_%i.txt'%me)
|
||||
execute('addMises -s Cauchy -e ln(V) ./postProc/20grains16x16x16_%i.txt'%me)
|
||||
|
||||
refFile = open('./postProc/20grains16x16x16_%i.txt'%me)
|
||||
refFile = open('./postProc/20grains16x16x16_1.txt')
|
||||
table = damask.ASCIItable(refFile)
|
||||
table.head_read()
|
||||
for l in ['Mises(ln(V))','1_Cauchy']:
|
||||
if l not in table.labels: print '%s not found'%l
|
||||
while table.data_read():
|
||||
if float(table.data[table.labels.index('Mises(ln(V))')]) > 0.002:
|
||||
yieldStress = np.array(table.data[table.labels.index('1_Cauchy'):table.labels.index('9_Cauchy')+1],'d').reshape(3,3)
|
||||
|
||||
yieldStress = np.array(table.data[table.labels.index('1_Cauchy'):table.labels.index('9_Cauchy')+1],'d')
|
||||
|
||||
s.acquire()
|
||||
print('startin fitting for sim %i from %s'%(me,thread))
|
||||
print('starting fitting for sim %i from %s'%(me,thread))
|
||||
global stressAll
|
||||
stressAll=np.append(stressAll,yieldStress.reshape(9))
|
||||
stressAll=stressAll.reshape(9,len(stressAll)//9)
|
||||
myFit.fit(stressAll)
|
||||
stressAll=np.append(yieldStress,stressAll)
|
||||
for i in range(np.shape(stressAll.reshape(len(stressAll)//9,9).transpose())[1]):
|
||||
print i, stressAll.reshape(len(stressAll)//9,9).transpose()[:,i]
|
||||
myFit.fit(stressAll.reshape(len(stressAll)//9,9).transpose())
|
||||
s.release()
|
||||
|
||||
def getLoadcase():
|
||||
|
|
@ -169,13 +187,13 @@ def converged():
|
|||
# main
|
||||
|
||||
minN_simulations=20
|
||||
maxN_simulations=20
|
||||
maxN_simulations=14
|
||||
N_simulations=0
|
||||
s=threading.Semaphore(1)
|
||||
scale = 0.02
|
||||
incs = 10
|
||||
duration = 10
|
||||
stressAll=np.zeros(0,'d')
|
||||
stressAll=np.zeros(0,'d').reshape(0,0)
|
||||
|
||||
myLoad = Loadcase()
|
||||
myFit = Criterion('Hill48')
|
||||
|
|
@ -189,5 +207,4 @@ for i in range(N_threads):
|
|||
|
||||
for i in range(N_threads):
|
||||
t[i].join()
|
||||
|
||||
print "Exiting Main Thread"
|
||||
|
|
|
|||
Loading…
Reference in New Issue