2020.12.20
20201219的节点还是不够满足，所以在这里取了另外取了10个节点，总共加上原来的节点是18个节点
"""
""" 顔色 """
# cmaps = OrderedDict()
"""
所谓low_fidelity，其实就是Beam188单元
"""
path_prefix = r"C:\Users\asus\Desktop\Code\DT_Crane_Boom_v1.0\APP_models\\"
path_arr = \
{
"low": r"pre_low_fidelity_truss_point\stress_point_more_nodes\\",
"high": r"pre_high_fidelity_truss_point\stress_point_less_samples\\",
"verification": r"pre_verification_truss_point\stress_eighteen_nodes\\",
}
rd = Read_Data()
""" 2020.12.21
读入高低保真的18个节点应力数据
"""
list_stress_low = rd.read_stress(path_prefix + path_arr["low"], mode='v')
list_stress_high = rd.read_stress(path_prefix + path_arr["high"], mode='v')
list_stress_verification = rd.read_stress(path_prefix +
path_arr["verification"],
mode='v')
""" 2020.12.21
每个点的应力放入一个数组，二维数组
低保真样本18*10*10=18*100
高保真样本18*6
验证18*37*19=18*703
"""
array_real_stress_low = np.asarray(list_stress_low).T
20201219的节点还是不够满足，所以在这里取了另外取了10个节点，总共加上原来的节点是18个节点
"""
""" 顔色 """
# cmaps = OrderedDict()
"""
所谓low_fidelity，其实就是Beam188单元
"""
path_prefix = r"C:\Users\asus\Desktop\Code\DT_Crane_Boom_v1.0\APP_models\\"
path_stress_arr = \
{
"low": r"pre_low_fidelity_truss_point\stress_point_more_nodes\\",
"high": r"pre_high_fidelity_truss_point\stress_point_less_samples\\",
"verification": r"pre_verification_truss_point\stress_eighteen_nodes\\",
}
rd_stress = Read_Data()
""" 2020.12.21
读入高低保真的18个节点应力数据
"""
list_stress_low = rd_stress.read_stress(path_prefix + path_stress_arr["low"],
mode='v')
list_stress_high = rd_stress.read_stress(path_prefix + path_stress_arr["high"],
mode='v')
list_stress_verification = rd_stress.read_stress(
path_prefix + path_stress_arr["verification"], mode='v')
path_deformation_arr = \
{
"low": r"pre_low_fidelity_truss_point\deformation_point_more_nodes\\",
"high": r"pre_high_fidelity_truss_point\deformation_point_less_samples\\",
"verification": r"pre_verification_truss_point\deformation_eighteen_nodes\\",