import sys import pandas as pd import numpy as np sys.path.append(r'C:\LAYLA') from src.LAYLA_V02.constraints import Constraints from src.LAYLA_V02.materials import Material from src.CLA.lampam_functions import calc_lampam from src.CLA.ABD import A_from_lampam, B_from_lampam, D_from_lampam from src.LAYLA_V02.save_set_up import save_constraints_LAYLA from src.LAYLA_V02.save_set_up import save_materials from src.divers.excel import append_df_to_excel, autofit_column_widths, delete_file n_plies_in_panels = 40 n_pop = 57 filename = 'pop_sym_C0_40plies.xlsx' delete_file(filename) #============================================================================== # Material properties #============================================================================== # Elastic modulus in the fibre direction (Pa) E11 = 130e9 # Elastic modulus in the transverse direction (Pa) E22 = 9e9 # Poisson's ratio relating transverse deformation and axial loading (-) nu12 = 0.3 # In-plane shear modulus (Pa) G12 = 4e9 mat = Material(E11=E11, E22=E22, G12=G12, nu12=nu12) #============================================================================== # Design guidelines #==============================================================================
global_node_limit_p=global_node_limit_p,
local_node_limit_final=local_node_limit_final,
repair_membrane_switch=repair_membrane_switch,
repair_flexural_switch=repair_flexural_switch,
penalty_10_lampam_switch=penalty_10_lampam_switch,
penalty_10_pc_switch=penalty_10_pc_switch,
penalty_ipo_switch=penalty_ipo_switch,
penalty_bal_switch=penalty_bal_switch,
type_obj_func=1)
#==============================================================================
# DO NOT CHANGE FROM THIS POINT
#==============================================================================
result_filename = constraints_set + '-' + str(n_plies) + 'plies-' \
+ optimisation_type + filename_end + '.xlsx'
delete_file(result_filename)
### Import the target lamination parameters
if constraints_set == 'C0':
data_filename = '/LAYLA/populations/pop_sym_C0_' \
+ str(n_plies) + 'plies.xlsx'
else:
data_filename = '/LAYLA/populations/pop_sym_C1_' \
+ str(n_plies) + 'plies.xlsx'
### Import the target lamination parameters
data = pd.read_excel(data_filename, sheet_name='stacks')
if data.size == 0:
raise Exception(
'Oops, no population of target lamination parameters found')