cratepy.ioput.packager.store_loading_path_data

store_loading_path_data(mac_load_type, mac_load, mac_load_presctype, mac_load_increm, is_solution_rewinding, rewind_state_criterion=None, rewinding_criterion=None, max_n_rewinds=None)[source]

Store data associated with the macroscale loading path.

Parameters:

  • mac_load_type ({1, 2, 3}) –

    Loading type:

    • 1 : Macroscale strain constraint

    • 2 : Macroscale stress constraint

    • 3 : Macroscale strain and stress constraint

  • mac_load (dict) – For each loading nature type (key, {‘strain’, ‘stress’}), stores the loading constraints for each loading subpath in a numpy.ndarray (2d), where the i-th row is associated with the i-th strain/stress component and the j-th column is associated with the j-th loading subpath.

  • mac_load_presctype (numpy.ndarray (2d)) – Loading nature type ({‘strain’, ‘stress’}) associated with each loading constraint (ndarray of shape (n_comps, n_load_subpaths)), where the i-th row is associated with the i-th strain/stress component and the j-th column is associated with the j-th loading subpath.

  • mac_load_increm (dict) – For each loading subpath id (key, str), stores a numpy.ndarray of shape (n_load_increments, 2) where each row is associated with a prescribed loading increment, and the columns 0 and 1 contain the corresponding incremental load factor and incremental time, respectively.

  • is_solution_rewinding (bool, default=False) – Problem solution rewinding flag.

  • rewind_state_criterion (tuple, default=None) – Rewind state storage criterion [0] and associated parameter [1].

  • rewinding_criterion (tuple, default=None) – Rewinding criterion [0] and associated parameter [1].

  • max_n_rewinds (int, default=None) – Maximum number of rewind operations.

Returns:

macload_dict – Container.

Return type:

dict