fixing global variables handling (need to be defined before being used)
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8593fb3ed7
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9e76b51014
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@ -11,15 +11,10 @@ scriptName = os.path.splitext(os.path.basename(__file__))[0]
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scriptID = ' '.join([scriptName,damask.version])
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scriptID = ' '.join([scriptName,damask.version])
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def runFit(exponent, eqStress, dimension, criterion):
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def runFit(exponent, eqStress, dimension, criterion):
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global s, threads, myFit, myLoad
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global threads, myFit, myLoad
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global fitResults, fitErrors, fitResidual, stressAll, strainAll
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global fitResidual
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global N_simulations, Guess, dDim
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global Guess, dDim
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fitResults = []
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fitErrors = []
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fitResidual = []
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Guess = []
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threads=[]
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dDim = dimension - 3
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dDim = dimension - 3
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nParas = len(fitCriteria[criterion]['bound'][dDim])
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nParas = len(fitCriteria[criterion]['bound'][dDim])
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nExpo = fitCriteria[criterion]['nExpo']
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nExpo = fitCriteria[criterion]['nExpo']
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@ -37,13 +32,9 @@ def runFit(exponent, eqStress, dimension, criterion):
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if g == 0: g = temp[1]*0.5
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if g == 0: g = temp[1]*0.5
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Guess.append(g)
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Guess.append(g)
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N_simulations=0
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s=threading.Semaphore(1)
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myLoad = Loadcase(options.load[0],options.load[1],options.load[2],
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myLoad = Loadcase(options.load[0],options.load[1],options.load[2],
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nSet = 10, dimension = dimension, vegter = options.criterion=='vegter')
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nSet = 10, dimension = dimension, vegter = options.criterion=='vegter')
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stressAll= [np.zeros(0,'d').reshape(0,0) for i in range(int(options.yieldValue[2]))]
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strainAll= [np.zeros(0,'d').reshape(0,0) for i in range(int(options.yieldValue[2]))]
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myFit = Criterion(exponent,eqStress, dimension, criterion)
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myFit = Criterion(exponent,eqStress, dimension, criterion)
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for t in range(options.threads):
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for t in range(options.threads):
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@ -1222,17 +1213,17 @@ class myThread (threading.Thread):
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threading.Thread.__init__(self)
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threading.Thread.__init__(self)
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self.threadID = threadID
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self.threadID = threadID
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def run(self):
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def run(self):
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s.acquire()
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semaphore.acquire()
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conv=converged()
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conv=converged()
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s.release()
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semaphore.release()
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while not conv:
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while not conv:
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doSim(self.name)
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doSim(self.name)
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s.acquire()
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semaphore.acquire()
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conv=converged()
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conv=converged()
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s.release()
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semaphore.release()
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def doSim(thread):
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def doSim(thread):
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s.acquire()
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semaphore.acquire()
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global myLoad
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global myLoad
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loadNo=loadcaseNo()
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loadNo=loadcaseNo()
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if not os.path.isfile('%s.load'%loadNo):
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if not os.path.isfile('%s.load'%loadNo):
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@ -1240,22 +1231,22 @@ def doSim(thread):
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f=open('%s.load'%loadNo,'w')
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f=open('%s.load'%loadNo,'w')
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f.write(myLoad.getLoadcase(loadNo))
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f.write(myLoad.getLoadcase(loadNo))
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f.close()
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f.close()
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s.release()
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semaphore.release()
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else: s.release()
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else: semaphore.release()
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# if spectralOut does not exist, run simulation
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# if spectralOut does not exist, run simulation
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s.acquire()
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semaphore.acquire()
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if not os.path.isfile('%s_%i.spectralOut'%(options.geometry,loadNo)):
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if not os.path.isfile('%s_%i.spectralOut'%(options.geometry,loadNo)):
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damask.util.croak('Starting simulation %i (%s)'%(loadNo,thread))
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damask.util.croak('Starting simulation %i (%s)'%(loadNo,thread))
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s.release()
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semaphore.release()
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damask.util.execute('DAMASK_spectral -g %s -l %i'%(options.geometry,loadNo))
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damask.util.execute('DAMASK_spectral -g %s -l %i'%(options.geometry,loadNo))
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else: s.release()
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else: semaphore.release()
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# if ASCII tables do not exist, run postprocessing
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# if ASCII tables do not exist, run postprocessing
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s.acquire()
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semaphore.acquire()
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if not os.path.isfile('./postProc/%s_%i.txt'%(options.geometry,loadNo)):
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if not os.path.isfile('./postProc/%s_%i.txt'%(options.geometry,loadNo)):
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damask.util.croak('Starting post processing for simulation %i (%s)'%(loadNo,thread))
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damask.util.croak('Starting post processing for simulation %i (%s)'%(loadNo,thread))
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s.release()
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semaphore.release()
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try:
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try:
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damask.util.execute('postResults --cr f,p --co totalshear %s_%i.spectralOut'%(options.geometry,loadNo))
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damask.util.execute('postResults --cr f,p --co totalshear %s_%i.spectralOut'%(options.geometry,loadNo))
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except:
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except:
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@ -1263,10 +1254,10 @@ def doSim(thread):
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damask.util.execute('addCauchy ./postProc/%s_%i.txt'%(options.geometry,loadNo))
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damask.util.execute('addCauchy ./postProc/%s_%i.txt'%(options.geometry,loadNo))
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damask.util.execute('addStrainTensors -0 -v ./postProc/%s_%i.txt'%(options.geometry,loadNo))
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damask.util.execute('addStrainTensors -0 -v ./postProc/%s_%i.txt'%(options.geometry,loadNo))
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damask.util.execute('addMises -s Cauchy -e ln(V) ./postProc/%s_%i.txt'%(options.geometry,loadNo))
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damask.util.execute('addMises -s Cauchy -e ln(V) ./postProc/%s_%i.txt'%(options.geometry,loadNo))
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else: s.release()
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else: semaphore.release()
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# reading values from ASCII table (including linear interpolation between points)
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# reading values from ASCII table (including linear interpolation between points)
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s.acquire()
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semaphore.acquire()
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damask.util.croak('Reading values from simulation %i (%s)'%(loadNo,thread))
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damask.util.croak('Reading values from simulation %i (%s)'%(loadNo,thread))
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refFile = './postProc/%s_%i.txt'%(options.geometry,loadNo)
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refFile = './postProc/%s_%i.txt'%(options.geometry,loadNo)
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table = damask.ASCIItable(refFile,readonly=True)
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table = damask.ASCIItable(refFile,readonly=True)
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@ -1278,7 +1269,7 @@ def doSim(thread):
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for l in [thresholdKey,'1_Cauchy']:
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for l in [thresholdKey,'1_Cauchy']:
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if l not in table.labels(raw = True): damask.util.croak('%s not found'%l)
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if l not in table.labels(raw = True): damask.util.croak('%s not found'%l)
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s.release()
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semaphore.release()
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table.data_readArray(['%i_Cauchy'%(i+1) for i in range(9)]+[thresholdKey]+['%i_ln(V)'%(i+1) for i in range(9)])
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table.data_readArray(['%i_Cauchy'%(i+1) for i in range(9)]+[thresholdKey]+['%i_ln(V)'%(i+1) for i in range(9)])
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@ -1303,13 +1294,13 @@ def doSim(thread):
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else:
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else:
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line+=1
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line+=1
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if not validity[i]:
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if not validity[i]:
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s.acquire()
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semaphore.acquire()
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damask.util.croak('The data of result %i at the threshold %f is invalid,'%(loadNo,threshold)\
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damask.util.croak('The data of result %i at the threshold %f is invalid,'%(loadNo,threshold)\
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+'the fitting at this point is skipped')
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+'the fitting at this point is skipped')
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s.release()
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semaphore.release()
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# do the actual fitting procedure and write results to file
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# do the actual fitting procedure and write results to file
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s.acquire()
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semaphore.acquire()
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global stressAll, strainAll
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global stressAll, strainAll
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f=open(options.geometry+'_'+options.criterion+'_'+str(time.time())+'.txt','w')
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f=open(options.geometry+'_'+options.criterion+'_'+str(time.time())+'.txt','w')
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f.write(' '.join([options.fitting]+myFit.report_labels())+'\n')
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f.write(' '.join([options.fitting]+myFit.report_labels())+'\n')
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@ -1322,10 +1313,10 @@ def doSim(thread):
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' '.join(map(str,myFit.fit(stressAll[i].reshape(len(stressAll[i])//6,6).transpose())))+'\n')
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' '.join(map(str,myFit.fit(stressAll[i].reshape(len(stressAll[i])//6,6).transpose())))+'\n')
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except Exception:
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except Exception:
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damask.util.croak('Could not fit results of simulation (%s)'%thread)
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damask.util.croak('Could not fit results of simulation (%s)'%thread)
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s.release()
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semaphore.release()
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return
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return
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damask.util.croak('\n')
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damask.util.croak('\n')
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s.release()
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semaphore.release()
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def loadcaseNo():
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def loadcaseNo():
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global N_simulations
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global N_simulations
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@ -1421,6 +1412,20 @@ if options.dimension not in fitCriteria[options.criterion]['dimen']:
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if options.criterion not in ['vonmises','tresca','drucker','hill1948'] and options.eqStress is None:
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if options.criterion not in ['vonmises','tresca','drucker','hill1948'] and options.eqStress is None:
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parser.error('please specify an equivalent stress (e.g. fitting to von Mises)')
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parser.error('please specify an equivalent stress (e.g. fitting to von Mises)')
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# global variables
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fitResults = []
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fitErrors = []
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fitResidual = []
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stressAll= [np.zeros(0,'d').reshape(0,0) for i in range(int(options.yieldValue[2]))]
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strainAll= [np.zeros(0,'d').reshape(0,0) for i in range(int(options.yieldValue[2]))]
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N_simulations=0
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Guess = []
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threads=[]
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semaphore=threading.Semaphore(1)
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dDim = None
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myLoad = None
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myFit = None
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run = runFit(options.exponent, options.eqStress, options.dimension, options.criterion)
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run = runFit(options.exponent, options.eqStress, options.dimension, options.criterion)
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damask.util.croak('Finished fitting to yield criteria')
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damask.util.croak('Finished fitting to yield criteria')
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