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DAMASK_EICMD
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* quick fix in order to make it work for elements of type 57 (quadratic with reduced integration) 

* length for results of type "elemental tensor" is exactly 7
This commit is contained in:
Christoph Kords 2011-05-05 09:16:29 +00:00
parent 660c9212f8
commit 56b2b3e572
1 changed files with 40 additions and 27 deletions
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67
processing/post/postResults
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@ -256,35 +256,44 @@ def ipCoords(elemType, nodalCoordinates):
# ----------------------------- # -----------------------------
nodeWeightsPerNode = { nodeWeightsPerNode = {
7: [ [27.0, 9.0, 3.0, 9.0, 9.0, 3.0, 1.0, 3.0], 7: [ [27.0, 9.0, 3.0, 9.0, 9.0, 3.0, 1.0, 3.0],
[ 9.0, 27.0, 9.0, 3.0, 3.0, 9.0, 3.0, 1.0], [ 9.0, 27.0, 9.0, 3.0, 3.0, 9.0, 3.0, 1.0],
[ 3.0, 9.0, 27.0, 9.0, 1.0, 3.0, 9.0, 3.0], [ 3.0, 9.0, 27.0, 9.0, 1.0, 3.0, 9.0, 3.0],
[ 9.0, 3.0, 9.0, 27.0, 3.0, 1.0, 3.0, 9.0], [ 9.0, 3.0, 9.0, 27.0, 3.0, 1.0, 3.0, 9.0],
[ 9.0, 3.0, 1.0, 3.0, 27.0, 9.0, 3.0, 9.0], [ 9.0, 3.0, 1.0, 3.0, 27.0, 9.0, 3.0, 9.0],
[ 3.0, 9.0, 3.0, 1.0, 9.0, 27.0, 9.0, 3.0], [ 3.0, 9.0, 3.0, 1.0, 9.0, 27.0, 9.0, 3.0],
[ 1.0, 3.0, 9.0, 3.0, 3.0, 9.0, 27.0, 9.0], [ 1.0, 3.0, 9.0, 3.0, 3.0, 9.0, 27.0, 9.0],
[ 3.0, 1.0, 3.0, 9.0, 9.0, 3.0, 9.0, 27.0] ], [ 3.0, 1.0, 3.0, 9.0, 9.0, 3.0, 9.0, 27.0] ],
57: [ [27.0, 9.0, 3.0, 9.0, 9.0, 3.0, 1.0, 3.0],
[ 9.0, 27.0, 9.0, 3.0, 3.0, 9.0, 3.0, 1.0],
[ 3.0, 9.0, 27.0, 9.0, 1.0, 3.0, 9.0, 3.0],
[ 9.0, 3.0, 9.0, 27.0, 3.0, 1.0, 3.0, 9.0],
[ 9.0, 3.0, 1.0, 3.0, 27.0, 9.0, 3.0, 9.0],
[ 3.0, 9.0, 3.0, 1.0, 9.0, 27.0, 9.0, 3.0],
[ 1.0, 3.0, 9.0, 3.0, 3.0, 9.0, 27.0, 9.0],
[ 3.0, 1.0, 3.0, 9.0, 9.0, 3.0, 9.0, 27.0] ],
117: [ [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], 117: [ [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
[ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] ], [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] ],
125: [ [ 3.0, 0.0, 0.0, 4.0, 1.0, 4.0], 125: [ [ 3.0, 0.0, 0.0, 4.0, 1.0, 4.0],
[ 0.0, 3.0, 0.0, 4.0, 4.0, 1.0], [ 0.0, 3.0, 0.0, 4.0, 4.0, 1.0],
[ 0.0, 0.0, 3.0, 1.0, 4.0, 4.0],], [ 0.0, 0.0, 3.0, 1.0, 4.0, 4.0],],
136: [ [42.0, 15.0, 15.0, 14.0, 5.0, 5.0], 136: [ [42.0, 15.0, 15.0, 14.0, 5.0, 5.0],
[15.0, 42.0, 15.0, 5.0, 14.0, 5.0], [15.0, 42.0, 15.0, 5.0, 14.0, 5.0],
[15.0, 15.0, 42.0, 5.0, 5.0, 14.0], [15.0, 15.0, 42.0, 5.0, 5.0, 14.0],
[14.0, 5.0, 5.0, 42.0, 15.0, 15.0], [14.0, 5.0, 5.0, 42.0, 15.0, 15.0],
[ 5.0, 14.0, 5.0, 15.0, 42.0, 15.0], [ 5.0, 14.0, 5.0, 15.0, 42.0, 15.0],
[ 5.0, 5.0, 14.0, 15.0, 15.0, 42.0] ], [ 5.0, 5.0, 14.0, 15.0, 15.0, 42.0] ],
} }
ipCoordinates = [[0.0,0.0,0.0] for i in range(len(nodalCoordinates))] Nips = len(nodeWeightsPerNode[elemType])
for ip in range(len(nodeWeightsPerNode[elemType])): ipCoordinates = [[0.0,0.0,0.0] for i in range(Nips)]
for ip in range(Nips):
for node in range(len(nodeWeightsPerNode[elemType][ip])): for node in range(len(nodeWeightsPerNode[elemType][ip])):
for i in range(3): for i in range(3):
ipCoordinates[ip][i] += nodeWeightsPerNode[elemType][ip][node] * nodalCoordinates[node][i] ipCoordinates[ip][i] += nodeWeightsPerNode[elemType][ip][node] * nodalCoordinates[node][i]
@ -804,11 +813,15 @@ if options.nodalScalar:
else: else:
for e in xrange(stat['NumberOfElements']): for e in xrange(stat['NumberOfElements']):
if p.element(e).type == 57:
myNodeIDs = p.element(e).items[:8]
else:
myNodeIDs = p.element(e).items
if e%1000 == 0: if e%1000 == 0:
bg.set_message('scan elem %i...'%e) bg.set_message('scan elem %i...'%e)
myElemID = p.element_id(e) myElemID = p.element_id(e)
myIpCoordinates = ipCoords(p.element(e).type, map(lambda node: [node.x, node.y, node.z], map(p.node, map(p.node_sequence,p.element(e).items)))) myIpCoordinates = ipCoords(p.element(e).type, map(lambda node: [node.x, node.y, node.z], map(p.node, map(p.node_sequence,myNodeIDs))))
for n,myNodeID in enumerate(p.element(e).items): for n,myNodeID in enumerate(myNodeIDs):
for g in range(('GrainCount' in stat['IndexOfLabel'] and int(p.element_scalar(e, stat['IndexOfLabel']['GrainCount'])[0].value)) for g in range(('GrainCount' in stat['IndexOfLabel'] and int(p.element_scalar(e, stat['IndexOfLabel']['GrainCount'])[0].value))
or 1): or 1):
myGrainID = g + 1 myGrainID = g + 1
@ -929,7 +942,7 @@ for incCount,increment in enumerate(increments):
header += heading('.',[[label.replace(' ',''),component] for component in ['intensity','t11','t22','t33','t12','t23','t13']]) header += heading('.',[[label.replace(' ',''),component] for component in ['intensity','t11','t22','t33','t12','t23','t13']])
myTensor = p.element_tensor(p.element_sequence(e),stat['IndexOfLabel'][label])[n_local] myTensor = p.element_tensor(p.element_sequence(e),stat['IndexOfLabel'][label])[n_local]
newby.append({'label':label, newby.append({'label':label,
'len':length, 'len':7,
'content':[ myTensor.intensity, 'content':[ myTensor.intensity,
myTensor.t11, myTensor.t22, myTensor.t33, myTensor.t11, myTensor.t22, myTensor.t33,
myTensor.t12, myTensor.t23, myTensor.t13, myTensor.t12, myTensor.t23, myTensor.t13,