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Message #17610
Re: [Question #670492]: shape mismatch
Question #670492 on Yade changed:
https://answers.launchpad.net/yade/+question/670492
Description changed to:
Hi,
I'm conducting a triaxial test to verify the mechanic properties of my
sample. However, after running for 20 minute (iter=3e6), some error
occurred.
The simplified script for the triaxial test is shown below:
---------------------------------------------------------------------------
# encoding: utf-8
# periodic triaxial test simulation
from yade import pack, qt, plot
sigmaIso=-5e4
O.periodic=True
sp=pack.randomPeriPack(radius=0.2e-3, initSize=(3e-3,3e-3,3e-3))
sp.toSimulation()
idSand=O.materials.append(CohFrictMat(alphaKr=1.8,etaRoll=1.8,density=2600,young=1e8,
isCohesive=0,momentRotationLaw=1,
poisson=.2,frictionAngle=0.2679492,label="sand"))
for b in O.bodies:
b.material=O.materials[1]
#for c in O.
O.engines=[
ForceResetter(),
InsertionSortCollider([Bo1_Sphere_Aabb()]),
InteractionLoop(
[Ig2_Sphere_Sphere_ScGeom6D()],
[Ip2_CohFrictMat_CohFrictMat_CohFrictPhys()],
[Law2_ScGeom6D_CohFrictPhys_CohesionMoment()]
),
PeriTriaxController(label='triax',
# specify target values and whether they are strains or stresses
goal=(sigmaIso,sigmaIso,sigmaIso),stressMask=7,
# type of servo-control
dynCell=True,maxStrainRate=(.1,.1,.1),
# wait until the unbalanced force goes below this value
maxUnbalanced=.1,relStressTol=1e-3,
# call this function when goal is reached and the packing is stable
doneHook='compressionFinished()'
),
NewtonIntegrator(damping=.2),
# PyRunner(command='checkStress()',iterPeriod=100,label='checker'),
PyRunner(command='addPlotData()',iterPeriod=100),
]
O.dt=.5*PWaveTimeStep()
def addPlotData():
plot.addData(unbalanced=unbalancedForce(),i=O.iter,
sxx=triax.stress[0],syy=triax.stress[1],szz=triax.stress[2],
exx=triax.strain[0],eyy=triax.strain[1],ezz=triax.strain[2],
n=yade.utils.porosity()
)
# define what to plot
plot.plots={'i':('unbalanced',),'i ':('sxx','syy','szz'),' i':('exx','eyy','ezz'),
' i ':('n',)
}
# show the plot
plot.plot()
def compressionFinished():
print
'Compression finished'
# set the current cell configuration to be the reference one
O.cell.trsf = Matrix3.Identity
# change control type: keep constant confinement in x,y, 20% compression in z
triax.goal = (sigmaIso, sigmaIso, -.2)
triax.stressMask = 3
# allow faster deformation along x,y to better maintain stresses
triax.maxStrainRate = (1., 1., .1)
# next time, call triaxFinished instead of compactionFinished
triax.doneHook = 'triaxFinished()'
# do not wait for stabilization before calling triaxFinished
triax.maxUnbalanced = 10
def triaxFinished():
print('Finished')
O.pause()
---------------------------------------------------------------------------
---------------------------------------------------------------------------
In [1]:
Unhandled exception in thread started by <function liveUpdate at 0x7f69ce36e140>
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/usr/lib/x86_64-linux-gnu/yade/py/yade/plot.py in liveUpdate(timestamp)
506 for ax in axes:
507 try:
--> 508 ax.relim() # recompute axes limits
509 ax.autoscale_view()
510 except RuntimeError: pass # happens if data are being updated and have not the same dimension at the very moment
/usr/lib/python2.7/dist-packages/matplotlib/axes/_base.pyc in relim(self, visible_only)
1936 for line in self.lines:
1937 if not visible_only or line.get_visible():
-> 1938 self._update_line_limits(line)
1939
1940 for p in self.patches:
/usr/lib/python2.7/dist-packages/matplotlib/axes/_base.pyc in _update_line_limits(self, line)
1799 Figures out the data limit of the given line, updating self.dataLim.
1800 """
-> 1801 path = line.get_path()
1802 if path.vertices.size == 0:
1803 return
/usr/lib/python2.7/dist-packages/matplotlib/lines.pyc in get_path(self)
955 """
956 if self._invalidy or self._invalidx:
--> 957 self.recache()
958 return self._path
959
/usr/lib/python2.7/dist-packages/matplotlib/lines.pyc in recache(self, always)
665 y = self._y
666
--> 667 self._xy = np.column_stack(np.broadcast_arrays(x, y)).astype(float)
668 self._x, self._y = self._xy.T # views
669
/usr/lib/python2.7/dist-packages/numpy/lib/stride_tricks.pyc in broadcast_arrays(*args, **kwargs)
247 args = [np.array(_m, copy=False, subok=subok) for _m in args]
248
--> 249 shape = _broadcast_shape(*args)
250
251 if all(array.shape == shape for array in args):
/usr/lib/python2.7/dist-packages/numpy/lib/stride_tricks.pyc in _broadcast_shape(*args)
182 # use the old-iterator because np.nditer does not handle size 0 arrays
183 # consistently
--> 184 b = np.broadcast(*args[:32])
185 # unfortunately, it cannot handle 32 or more arguments directly
186 for pos in range(32, len(args), 31):
ValueError: shape mismatch: objects cannot be broadcast to a single shape
---------------------------------------------------------------------------
The plot nolonger refresh to show the real time stress and strain state of the test.
I think that there may be some limits in the source code when the calculation amount go large.
Actually, I tried the FrictMat and the error didn't occur. So I guess it has something to do with the calculation burden?
Can anyone give me some suggestion? Thanks a lot.
Zhang Wenyue
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