def adaptic_print(self):
if self.softening:
line = utils.str_joint([
self.ID, 'stl1', self.E1, self.fy, self.mu, self.epsilon_u,
self.E3
])
else:
line = utils.str_joint(
[self.ID, 'stl1', self.E1, self.fy, self.mu])
return line
def adaptic_print(self, rawNr=False):
if rawNr:
return self.ID, 'con1', self.Ec1, self.fc1, self.Ec2, self.fc2, self.Et1, self.ft, self.Et2
elif self.rev17:
line = utils.str_joint([
self.ID, 'con1', self.Ec1, self.fc1, self.Ec2, self.fc2,
self.Et1, self.ft, self.Et2, -self.alpha, -1
])
else:
line = utils.str_joint([
self.ID, 'con1', self.Ec1, self.fc1, self.Ec2, self.fc2,
self.Et1, self.ft, self.Et2, self.alpha
])
return line
def adaptic_print(self):
# convert dictionary values of different dimensionality to a flatten list
dict0 = self.__dict__
dict1 = np.array(list(dict0.values())[0:12])
dict2 = np.array(list(dict0.values())[12])
dict2 = [val for sublist in dict2 for val in sublist]
line = np.hstack((dict1, dict2))
return utils.str_joint(line)
def adaptic_print(self):
s_e = 0.5 * self.s_1
return utils.str_joint([
self.ID, 'bond', s_e, self.s_1, self.s_2, self.s_3,
self.slip2tau(s_e),
self.slip2tau(self.s_1),
self.slip2tau(self.s_3)
])
def adaptic_print(self):
# convert dictionary values of different dimensionality to a flatten list
line = self.__dict__
line = np.array(list(line.values())[0:4])
return utils.str_joint(line)
def adaptic_print(self):
return utils.str_joint([self.ID, 'stl1', self.E1, self.fy])
def adaptic_print(self):
line = utils.str_joint(
[self.ID, 'con2', self.fc1, self.ft, self.epsilon_1c, self.k])
return line
def adaptic_print(self, rawNr=False):
return utils.str_joint([
self.ID, 'con1', self.Ec1, self.fc1, self.Ec2, self.fc2, self.Et1,
self.ft, self.Et2, self.alphaC, self.alphaT
])
def adaptic_print(self):
line = utils.str_joint([self.ID, 'stl1', self.E1, self.fy, self.mu])
return line
