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Setting up data structures for blob analysis in lbpm_BlobAnalysis.cpp

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This commit is contained in:
James 2015-03-05 23:16:02 -05:00
parent d3e5b4e816
commit be584b5d63
1 changed files with 65 additions and 2 deletions
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67
tests/lbpm_BlobAnalysis.cpp
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@ -16,6 +16,26 @@ James E. McClure 2015
#include "TwoPhase.h"
#include "common/MPI_Helpers.h"
inline void ReadBlobLabel(char *FILENAME, int *Data, int N)
{
int n;
int value;
ifstream File(FILENAME,ios::binary);
if (File.good()){
for (n=0; n<N; n++){
// Write the two density values
File.read((char*) &value, sizeof(value));
Data[n] = value;
}
}
else {
for (n=0; n<N; n++) Data[n] = 1.2e-34;
}
File.close();
}
int main(int argc, char **argv)
{
//*****************************************
@ -80,12 +100,16 @@ int main(int argc, char **argv)
//...........................................................................
if (rank == 0) cout << "Reading in domain from signed distance function..." << endl;
//.......................................................................
sprintf(LocalRankString,"%05d",rank);
sprintf(LocalRankFilename,"%s%s","SignDist.",LocalRankString);
ReadBinaryFile(LocalRankFilename, Averages.SDs.data, N);
MPI_Barrier(MPI_COMM_WORLD);
if (rank == 0) cout << "Domain set." << endl;
//.......................................................................
//.......................................................................
sprintf(LocalRankFilename,"%s%s","BlobLabel.",LocalRankString);
ReadBlobFile(LocalRankFilename, Averages.BlobLabel.data, N);
MPI_Barrier(MPI_COMM_WORLD);
if (rank == 0) cout << "BlobLabel set." << endl;
//.......................................................................
//copies of data needed to perform checkpointing from cpu
double *Den, *DistEven, *DistOdd;
Den = new double[2*N];
@ -98,6 +122,45 @@ int main(int argc, char **argv)
MPI_Barrier(MPI_COMM_WORLD);
//.........................................................................
// Populate the arrays needed to perform averaging
for (int n=0; n<Nx*Ny*Nz; n++){
double phi,da,db,press,vx,vy,vz;
double f0,f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13,f14,f15,f16,f17,f18;
da = Den[n];
db = Den[N+n];
f0 = DistEven[n];
f2 = DistEven[N+n];
f4 = DistEven[2*N+n];
f6 = DistEven[3*N+n];
f8 = DistEven[4*N+n];
f10 = DistEven[5*N+n];
f12 = DistEven[6*N+n];
f14 = DistEven[7*N+n];
f16 = DistEven[8*N+n];
f18 = DistEven[9*N+n];
//........................................................................
f1 = DistOdd[n];
f3 = DistOdd[1*N+n];
f5 = DistOdd[2*N+n];
f7 = DistOdd[3*N+n];
f9 = DistOdd[4*N+n];
f11 = DistOdd[5*N+n];
f13 = DistOdd[6*N+n];
f15 = DistOdd[7*N+n];
f17 = DistOdd[8*N+n];
//.................Compute the velocity...................................
press = 0.3333333333333333*(f0+f2+f1+f4+f3+f6+f5+f8+f7+f10+
f9+f12+f11+f14+f13+f16+f15+f18+f17);
vx = f1-f2+f7-f8+f9-f10+f11-f12+f13-f14;
vy = f3-f4+f7-f8-f9+f10+f15-f16+f17-f18;
vz = f5-f6+f11-f12-f13+f14+f15-f16-f17+f18;
Averages.Phase.data[n]=(da-db)/(da+db);
Averages.Phase_tplus.data[n]=(da-db)/(da+db);
Averages.Phase_tminus.data[n]=(da-db)/(da+db);
Averages.Press.data[n]=press;
Averages.Vel_x.data[n]=vx;
Averages.Vel_y.data[n]=vy;
Averages.Vel_z.data[n]=vz;
}
Averages.Phase();
Averages.LocalBlobID();