FI_max_all = max(FI_max_all, FI_max[i][dn])
if len(domains_from_config) > 1:
msg += " " + str(FI_max_all).rjust(17, " ")
for cn in range(len(displacement_graph)):
msg += " " + str(disp_i[cn]).rjust(17, " ")
if optimization_base == "buckling":
for bf in buckling_factors:
msg += " " + str(bf).rjust(17, " ")
buckling_factors_all.append(buckling_factors)
msg += "\n"
beso_lib.write_to_log(file_name, msg)
# export element values
if save_iteration_results and np.mod(float(i), save_iteration_results) == 0:
if "csv" in save_resulting_format:
beso_lib.export_csv(domains_from_config, domains, criteria, FI_step, FI_step_max, file_nameW, cg,
elm_states, sensitivity_number)
if "vtk" in save_resulting_format:
beso_lib.export_vtk(file_nameW, nodes, Elements, elm_states, sensitivity_number, criteria, FI_step,
FI_step_max)
# relative difference in a mean stress for the last 5 iterations must be < tolerance
if len(FI_mean) > 5:
difference_last = []
for last in range(1, 6):
difference_last.append(abs(FI_mean[i] - FI_mean[i-last]) / FI_mean[i])
difference = max(difference_last)
if check_tolerance is True:
print("maximum relative difference in FI_mean for the last 5 iterations = {}" .format(difference))
if difference < tolerance:
continue_iterations = False
elif FI_mean[i] == FI_mean[i-1] == FI_mean[i-2]:
msg += " " + str(FI_mean[i]).rjust(17, " ") + " " + str(FI_mean_without_state0[i]).rjust(18, " ")
FI_max_all = 0
for dn in domains_from_config:
msg += " " + str(FI_max[i][dn]).rjust(17, " ")
FI_max_all = max(FI_max_all, FI_max[i][dn])
if len(domains_from_config) > 1:
msg += " " + str(FI_max_all).rjust(17, " ")
for cn in range(len(displacement_graph)):
msg += " " + str(disp_i[cn]).rjust(17, " ")
msg += "\n"
beso_lib.write_to_log(file_name, msg)
# export element values
if save_iteration_results and np.mod(float(i), save_iteration_results) == 0:
if "csv" in save_resulting_format:
beso_lib.export_csv(domains_from_config, domains, criteria, FI_step, FI_step_max, file_nameW, cg,
elm_states, sensitivity_number)
if "vtk" in save_resulting_format:
beso_lib.export_vtk(file_nameW, nodes, Elements, elm_states, sensitivity_number, criteria, FI_step,
FI_step_max)
# relative difference in a mean stress for the last 5 iterations must be < tolerance
if len(FI_mean) > 5:
difference_last = []
for last in range(1, 6):
difference_last.append(abs(FI_mean[i] - FI_mean[i-last]) / FI_mean[i])
difference = max(difference_last)
if check_tolerance is True:
print("maximum relative difference in FI_mean for the last 5 iterations = {}" .format(difference))
if difference < tolerance:
continue_iterations = False
elif FI_mean[i] == FI_mean[i-1] == FI_mean[i-2]:
