def import_data_lab_fluage( file_name ): i = 0 time = [] stress = [] with open( file_name, 'rb') as csvfile: spamreader = csv.reader(csvfile, delimiter=',', quotechar='|') total_lines = 0 for line in spamreader: total_lines = total_lines + 1 strain = initTensor(0, total_lines-1, 6) print print "Importing data from", file_name print "The file contains", total_lines, "lines." csvfile.seek(0) for row in spamreader: if i == 0: i = i + 1 pass else: time.append( float( row[0]) ) stress.append( float( row[1] ) ) for j in range(0, 2): strain[i-1][j] = float( row[j+2] ) i = i + 1 return time, stress, strain
def import_data_verif_eprouvette_simple_ansys( file_name ): i = 0 time = [] with open( file_name, 'rb') as csvfile: spamreader = csv.reader(csvfile, delimiter=',', quotechar='|') total_lines = 0 for line in spamreader: total_lines = total_lines + 1 strain = initTensor(0, total_lines-1, 6) print print "Importing data from", file_name print "The file contains", total_lines, "lines." csvfile.seek(0) for row in spamreader: if i == 0: i = i + 1 pass else: time.append( float( row[0]) ) strain[i-1][1] = float( row[2] ) strain[i-1][0] = float( row[1] ) strain[i-1][3] = float( row[3] ) i = i + 1 return time, strain
def import_data_lab_fluage(file_name):
i = 0
time = []
stress = []
with open(file_name, 'rb') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',', quotechar='|')
total_lines = 0
for line in spamreader:
total_lines = total_lines + 1
strain = initTensor(0, total_lines - 1, 6)
print
print "Importing data from", file_name
print "The file contains", total_lines, "lines."
csvfile.seek(0)
for row in spamreader:
if i == 0:
i = i + 1
pass
else:
time.append(float(row[0]))
stress.append(float(row[1]))
for j in range(0, 2):
strain[i - 1][j] = float(row[j + 2])
i = i + 1
return time, stress, strain
def import_data_verif_eprouvette_simple_ansys(file_name):
i = 0
time = []
with open(file_name, 'rb') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',', quotechar='|')
total_lines = 0
for line in spamreader:
total_lines = total_lines + 1
strain = initTensor(0, total_lines - 1, 6)
print
print "Importing data from", file_name
print "The file contains", total_lines, "lines."
csvfile.seek(0)
for row in spamreader:
if i == 0:
i = i + 1
pass
else:
time.append(float(row[0]))
strain[i - 1][1] = float(row[2])
strain[i - 1][0] = float(row[1])
strain[i - 1][3] = float(row[3])
i = i + 1
return time, strain
def import_hmgnzt_quad( file_name ): i = 0 with open( os.getcwd() + "/hmgnzt_data/" + file_name, 'rb' ) as csvfile: spamreader = csv.reader(csvfile, delimiter=',', quotechar='|') total_lines = 0 for line in spamreader: total_lines = total_lines + 1 quad = initTensor(0., total_lines, 2) print print "Importing data from", file_name print "The file contains", total_lines, "lines." csvfile.seek(0) i = 0 for row in spamreader: quad[i][0] = float(row[0]) quad[i][1] = float(row[1]) i = i + 1 return quad
def import_hmgnzt_quad(file_name):
i = 0
with open(os.getcwd() + "/hmgnzt_data/" + file_name, 'rb') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',', quotechar='|')
total_lines = 0
for line in spamreader:
total_lines = total_lines + 1
quad = initTensor(0., total_lines, 2)
print
print "Importing data from", file_name
print "The file contains", total_lines, "lines."
csvfile.seek(0)
i = 0
for row in spamreader:
quad[i][0] = float(row[0])
quad[i][1] = float(row[1])
i = i + 1
return quad
def import_data_05_04( file_name ): i = 0 time = [] with open( file_name, 'rb') as csvfile: spamreader = csv.reader(csvfile, delimiter=',', quotechar='|') total_lines = 0 for line in spamreader: total_lines = total_lines + 1 stress = initTensor(0, total_lines, 6) print "The file contains", total_lines, "lines." csvfile.seek(0) for row in spamreader: if i == 0: i = i + 1 pass else: time.append( float(row[0]) ) for j in range(0, 6): stress[i-1][j] = float(row[j+1]) i = i + 1 return time, stress
def import_data_05_04(file_name):
i = 0
time = []
with open(file_name, 'rb') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',', quotechar='|')
total_lines = 0
for line in spamreader:
total_lines = total_lines + 1
stress = initTensor(0, total_lines, 6)
print "The file contains", total_lines, "lines."
csvfile.seek(0)
for row in spamreader:
if i == 0:
i = i + 1
pass
else:
time.append(float(row[0]))
for j in range(0, 6):
stress[i - 1][j] = float(row[j + 1])
i = i + 1
return time, stress
