hookeai.material_model_finder.model.material_discovery

Material model finder forward model.

Classes

MaterialModelFinder(torch.nn.Module)

Material model finder forward model.

Functions

compute_element_internal_forces(...)	Compute finite element internal forces.
compute_infinitesimal_inc_strain(...)	Compute incremental infinitesimal strain tensor.
compute_infinitesimal_strain(...)	Compute infinitesimal strain tensor.
data_scaler_transform(model, tensor, ...[, mode])	Perform data scaling operation on features PyTorch tensor.
eval_shapefun_deriv(element_type, ...)	Evaluate shape functions derivates at given coordinates.
get_problem_type_parameters(problem_type)	Get parameters dependent on the problem type.
get_projection_tensors_vmf(n_dim, comp_order_sym)	Get volumetric and deviatoric projection tensors Voigt matricial form.
make_directory(directory[, is_overwrite])	Create a directory.
material_state_update(strain_formulation, ...)	Material state update for any given constitutive model.
plot_xy_data(data_xy[, data_labels, ...])	Plot data in xy axes.
save_dataset(dataset, dataset_basename, ...)	Save PyTorch time series data set to file.
save_figure(figure, filename[, height, ...])	Save Matplotlib figure.
set_fitted_data_scalers(model, scaling_type, ...)	Set fitted model data scalers from given scaler type and parameters.
vbuild_discrete_gradient(shape_fun_deriv, ...)	Build discrete gradient operator.
vbuild_discrete_sym_gradient(...)	Build discrete symmetric gradient operator.
vexpand_grad_operator_sym_2d_to_3d(...)	Expand 2D discrete symmetric gradient operator to 3D.
vget_strain_from_vmf(strain_vmf, n_dim, ...)	Recover strain tensor from associated Voigt matricial form.
vget_stress_vmf(stress, n_dim, comp_order_sym)	Get stress tensor Voigt matricial form.
vget_tensor_from_mf(tensor_mf, n_dim, comp_order)	Recover tensor from associated matricial form.
vget_tensor_mf(tensor, n_dim, comp_order[, ...])	Get tensor matricial form.
vreduce_grad_operator_sym_3d_to_2d(...)	Reduce 3D discrete symmetric gradient operator to 2D.

Classes

HybridModel(n_features_in, n_features_out, ...)	Hybrid model.
MaterialModelFinder(model_directory[, ...])	Material model finder forward model.
TimeSeriesDatasetInMemory(dataset_samples)	Time series data set (in-memory storage only).
TorchMinMaxScaler(n_features[, minimum, ...])	PyTorch tensor min-max data scaler.