Author: eudoxos
Date: 2008-09-22 17:14:44 +0200 (Mon, 22 Sep 2008)
New Revision: 1522
Modified:
trunk/gui/py/_utils.cpp
trunk/gui/py/eudoxos.py
trunk/gui/py/utils.py
Log:
1. Move interaction direction distribution pie histograms to utils
2. Add plotting histogram of number of contacts to plotDirections()
utils.plotDirections(utils.aabbExtrema()) # to do it on the whole specimen
Modified: trunk/gui/py/_utils.cpp
===================================================================
--- trunk/gui/py/_utils.cpp 2008-09-21 11:47:46 UTC (rev 1521)
+++ trunk/gui/py/_utils.cpp 2008-09-22 15:14:44 UTC (rev 1522)
@@ -131,6 +131,29 @@
}
BOOST_PYTHON_FUNCTION_OVERLOADS(interactionAnglesHistogram_overloads,interactionAnglesHistogram,1,4);
+python::tuple bodyNumInteractionsHistogram(python::tuple aabb=python::tuple()){
+ Vector3r bbMin(Vector3r::ZERO), bbMax(Vector3r::ZERO); bool
useBB=python::len(aabb)>0;
if(useBB){bbMin=tuple2vec(extract<python::tuple>(aabb[0])());bbMax=tuple2vec(extract<python::tuple>(aabb[1])());}
+ const shared_ptr<MetaBody>& rb=Omega::instance().getRootBody();
+ vector<int> bodyNumInta; bodyNumInta.resize(rb->bodies->size(),-1 /*
uninitialized */);
+ int maxInta=0;
+ FOREACH(const shared_ptr<Interaction>& i, *rb->transientInteractions){
+ if(!i->isReal) continue;
+ const body_id_t id1=i->getId1(), id2=i->getId2(); const
shared_ptr<Body>& b1=Body::byId(id1,rb), b2=Body::byId(id2,rb);
+ if(useBB &&
isInBB(b1->physicalParameters->se3.position,bbMin,bbMax))
bodyNumInta[id1]=bodyNumInta[id1]>0?bodyNumInta[id1]+1:1;
+ if(useBB &&
isInBB(b2->physicalParameters->se3.position,bbMin,bbMax))
bodyNumInta[id2]=bodyNumInta[id2]>0?bodyNumInta[id2]+1:1;
+
maxInta=max(max(maxInta,bodyNumInta[b1->getId()]),bodyNumInta[b2->getId()]);
+ }
+ vector<int> bins; bins.resize(maxInta+1);
+ for(size_t id=0; id<bodyNumInta.size(); id++){ if(bodyNumInta[id]>=0)
bins[bodyNumInta[id]]+=1; }
+ python::list count,num;
+ for(size_t n=1; n<bins.size(); n++){
+ if(bins[n]==0) continue;
+ num.append(n); count.append(bins[n]);
+ }
+ return python::make_tuple(num,count);
+}
+BOOST_PYTHON_FUNCTION_OVERLOADS(bodyNumInteractionsHistogram_overloads,bodyNumInteractionsHistogram,0,1);
+
python::tuple inscribedCircleCenter(python::list v0, python::list v1,
python::list v2)
{
return
vec2tuple(Shop::inscribedCircleCenter(Vector3r(python::extract<double>(v0[0]),python::extract<double>(v0[1]),python::extract<double>(v0[2])),
Vector3r(python::extract<double>(v1[0]),python::extract<double>(v1[1]),python::extract<double>(v1[2])),
Vector3r(python::extract<double>(v2[0]),python::extract<double>(v2[1]),python::extract<double>(v2[2]))));
@@ -144,6 +167,7 @@
def("coordsAndDisplacements",coordsAndDisplacements,coordsAndDisplacements_overloads(args("AABB")));
def("setRefSe3",setRefSe3);
def("interactionAnglesHistogram",interactionAnglesHistogram,interactionAnglesHistogram_overloads(args("axis","mask","bins","aabb")));
+
def("bodyNumInteractionsHistogram",bodyNumInteractionsHistogram,bodyNumInteractionsHistogram_overloads(args("aabb")));
def("elasticEnergy",elasticEnergyInAABB);
def("inscribedCircleCenter",inscribedCircleCenter);
}
Modified: trunk/gui/py/eudoxos.py
===================================================================
--- trunk/gui/py/eudoxos.py 2008-09-21 11:47:46 UTC (rev 1521)
+++ trunk/gui/py/eudoxos.py 2008-09-22 15:14:44 UTC (rev 1522)
@@ -12,18 +12,6 @@
dim=utils.aabbDim(cutoff)
return
utils.elasticEnergy(utils.aabbExtrema(cutoff))/(.5*strain*dim[0]*dim[1]*dim[2])
-def plotDirections(mask=0,bins=20,aabb=()):
- "Plot 3 histograms for distribution of interaction directions, in yz,xz
and xy planes."
- import pylab,math
- from yade import utils
- for axis in [0,1,2]:
-
d=utils.interactionAnglesHistogram(axis,mask=mask,bins=bins,aabb=aabb)
- fc=[0,0,0]; fc[axis]=1.
- pylab.subplot(220+axis+1,polar=True);
- # 1.2 makes small gaps between values (but the column is
decentered)
-
pylab.bar(d[0],d[1],width=math.pi/(1.2*bins),fc=fc,alpha=.7,label=['yz','xz','xy'][axis])
- pylab.show()
-
def estimatePoissonYoung(principalAxis,stress=0,plot=False,cutoff=0.):
"""Estimate Poisson's ration given the "principal" axis of straining.
For every base direction, homogenized strain is computed
Modified: trunk/gui/py/utils.py
===================================================================
--- trunk/gui/py/utils.py 2008-09-21 11:47:46 UTC (rev 1521)
+++ trunk/gui/py/utils.py 2008-09-22 15:14:44 UTC (rev 1522)
@@ -144,6 +144,43 @@
out.write('%g\t%g\t%g\t%g\n'%(b.phys['se3'][0],b.phys['se3'][1],b.phys['se3'][2],b.shape['radius']))
out.close()
+def avgNumInteractions(cutoff=0.):
+ nums,counts=bodyNumInteractionsHistogram(aabbExtrema(cutoff))
+ return sum([nums[i]*counts[i] for i in
range(len(nums))])/(1.*sum(counts))
+
+def plotNumInteractionsHistogram(cutoff=0.):
+ nums,counts=bodyNumInteractionsHistogram(aabbExtrema(cutoff))
+ import pylab
+ pylab.bar(nums,counts)
+ pylab.title('Number of interactions histogram, average %g
(cutoff=%g)'%(avgNumInteractions(cutoff),cutoff))
+ pylab.xlabel('Number of interactions')
+ pylab.ylabel('Body count')
+ pylab.show()
+
+def plotDirections(aabb=(),mask=0,bins=20,numHist=True):
+ """Plot 3 histograms for distribution of interaction directions, in
yz,xz and xy planes and
+ (optional but default) histogram of number of interactions per body."""
+ import pylab,math
+ from yade import utils
+ for axis in [0,1,2]:
+
d=utils.interactionAnglesHistogram(axis,mask=mask,bins=bins,aabb=aabb)
+ fc=[0,0,0]; fc[axis]=1.
+ subp=pylab.subplot(220+axis+1,polar=True);
+ # 1.1 makes small gaps between values (but the column is a bit
decentered)
+
pylab.bar(d[0],d[1],width=math.pi/(1.1*bins),fc=fc,alpha=.7,label=['yz','xz','xy'][axis])
+ #pylab.title(['yz','xz','xy'][axis]+' plane')
+
pylab.text(.5,.25,['yz','xz','xy'][axis],horizontalalignment='center',verticalalignment='center',transform=subp.transAxes,fontsize='xx-large')
+ if numHist:
+ pylab.subplot(224,polar=False)
+ nums,counts=utils.bodyNumInteractionsHistogram(aabb if
len(aabb)>0 else utils.aabbExtrema())
+ avg=sum([nums[i]*counts[i] for i in
range(len(nums))])/(1.*sum(counts))
+ pylab.bar(nums,counts,fc=[1,1,0],alpha=.7,align='center')
+ pylab.xlabel('Interactions per body (avg. %g)'%avg)
+ pylab.axvline(x=avg,linewidth=3,color='r')
+ pylab.ylabel('Body count')
+ pylab.show()
+
+
def import_stl_geometry(file, begin=0,
young=30e9,poisson=.3,frictionAngle=0.5236,wire=True):
## Import walls geometry from STL file
imp = STLImporter()
@@ -161,48 +198,3 @@
o.bodies[i].mold.postProcessAttributes()
return imp.number_of_facets
-def negPosExtremes(**kw): raise DeprecationWarning("negPosExtremes is
deprecated, use negPosExtremalIds instead.")
-
-# reimplemented in _utils in c++ (results verified to be identical)
-if 0:
- def negPosExtremes(axis,distFactor=1.1):
- """Get 2 lists (negative and positive extremes) of sphere ids
that are close to the boundary
- in the direction of requested axis (0=x,1=y,2=z).
-
- distFactor enlarges radius of the sphere, it can be considered
'extremal' even if it doesn't touch the extreme.
- """
- inf=float('inf')
- extremes=[inf,-inf]
- ret=[[],[]]
- o=Omega()
- for b in o.bodies:
-
extremes[1]=max(extremes[1],+b.shape['radius']+b.phys['se3'][axis])
-
extremes[0]=min(extremes[0],-b.shape['radius']+b.phys['se3'][axis])
- for b in o.bodies:
- if
b.phys['se3'][axis]-b.shape['radius']*distFactor<=extremes[0]:
ret[0].append(b.id)
- if
b.phys['se3'][axis]+b.shape['radius']*distFactor>=extremes[1]:
ret[1].append(b.id)
- return ret
- def aabbExtrema(consider=lambda body:True):
- """return min and max points of an aabb around spherical
packing (non-spheres are ignored)"""
- inf=float('inf')
- minimum,maximum=[inf,inf,inf],[-inf,-inf,-inf]
- o=Omega()
- for b in o.bodies:
- if consider(b) and b.shape.name=='Sphere':
-
minimum=[min(minimum[i],b.phys['se3'][i]-b.shape['radius']) for i in range(3)]
-
maximum=[max(maximum[i],b.phys['se3'][i]+b.shape['radius']) for i in range(3)]
- return minimum,maximum
- def PWaveTimeStep():
- """Estimate timestep by the elastic wave propagation speed
(p-wave).
-
- Multiply the value returned by some safety factor < 1, since
shear waves are not taken into account here."""
- o=Omega()
- dt=float('inf')
- for b in o.bodies:
- if not (b.phys and b.shape): continue
- if not (b.phys.has_key('young') and
b.shape.has_key('radius')): continue
-
density=b.phys['mass']/((4./3.)*math.pi*b.shape['radius']**3)
-
thisDt=b.shape['radius']/math.sqrt(b.phys['young']/density)
- dt=min(dt,thisDt)
- return dt
-
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