def my_func(X):
M=X[0:5]
P=X[5:10]
T=X[10:15]
build_mesh.create_mesh(M,P,T)
run_apame()
fid = open('output_polar.dat','r')
nb_lines=0
while fid.readline():
nb_lines+=1
if nb_lines==0:
raise TypeError("Empty file")
fid.close()
fid = open('output_polar.dat','r')
# revenir au debut
alpha=numpy.zeros(nb_lines)
cx=numpy.zeros(nb_lines)
cz=numpy.zeros(nb_lines)
for i in xrange(nb_lines):
tmp=fid.readline()
tmp=tmp.split()
alpha[i]=float(tmp[0])
cx[i]=float(tmp[2])
cz[i]=float(tmp[1])
fid.close()
print(min(cx))
return min(cx)
def my_func(M,P,T):
build_mesh.create_mesh(M,P,T)
run_apame()
fid = open('output_polar.dat','r')
nb_lines=0
while fid.readline():
nb_lines+=1
if nb_lines==0:
raise TypeError("Empty file")
fid.close()
fid = open('output_polar.dat','r')
# revenir au debut
alpha=numpy.zeros(nb_lines)
cx=numpy.zeros(nb_lines)
cz=numpy.zeros(nb_lines)
for i in xrange(nb_lines):
tmp=fid.readline()
tmp=tmp.split()
alpha[i]=float(tmp[0])
cx[i]=float(tmp[2])
cz[i]=float(tmp[1])
fid.close()
f = interpolate.interp1d(numpy.array(cz), numpy.array(cx), kind=‘cubic’)
return min(f(0.5))
import vtk
import dakota_utils
import matplotlib.pyplot as plt
from build_mesh import create_mesh
from run_apame import run
N_sections=numpy.linspace(5,101,49)
Cx=numpy.zeros(49)
Cz=numpy.zeros(49)
it=0
for i in N_sections:
print('Test de convergence - section numero {}'.format(int(i)))
M=0.08*numpy.ones(2)
P=0.4*numpy.ones(2)
T=0.15*numpy.ones(2)
create_mesh(M,P,T,int(i))
run()
fid = open('output_polar.dat','r')
tmp=fid.readline()
tmp=tmp.split()
Cx[it]=float(tmp[2])
Cz[it]=float(tmp[1])
it+=1
fid.close()
plt.figure()
plt.plot(N_sections,Cx)
plt.title('Cx')
plt.figure()
plt.plot(N_sections,Cz)
plt.title('Cz')
