hookeai.simulators.fetorch.material.models.standard.von_mises_mixed.ConstitutiveModel

class ConstitutiveModel(strain_formulation, problem_type, model_parameters, device_type='cpu')

Bases: ABC

Material constitutive model interface.

_name

Material constitutive model name.

Type:

str

_strain_type

Material constitutive model strain formulation: infinitesimal strain formulation (‘infinitesimal’), finite strain formulation (‘finite’) or finite strain formulation through kinematic extension (‘finite-kinext’).

Type:

{‘infinitesimal’, ‘finite’, ‘finite-kinext’}

_model_parameters

Material constitutive model parameters.

Type:

dict

_device_type

Type of device on which torch.Tensor is allocated.

Type:

{‘cpu’, ‘cuda’}

_device

Device on which torch.Tensor is allocated.

Type:

torch.device

get_required_model_parameters()

Get required material constitutive model parameters.

state_init(self)

Get initialized material constitutive model state variables.

state_update(self, inc_strain, state_variables_old)

Perform material constitutive model state update.

get_name(self)

Get material constitutive model name.

get_strain_type(self)

Get material constitutive model strain formulation.

get_model_parameters(self)

Get material constitutive model parameters.

Constructor.

Parameters:

• strain_formulation ({'infinitesimal', 'finite'}) – Problem strain formulation.

• problem_type (int) – Problem type: 2D plane strain (1), 2D plane stress (2), 2D axisymmetric (3) and 3D (4).

• model_parameters (dict) – Material constitutive model parameters.

• device_type ({'cpu', 'cuda'}, default='cpu') – Type of device on which torch.Tensor is allocated.

List of Public Methods

get_device	Get device on which torch.Tensor is allocated.
get_model_parameters	Get material constitutive model parameters.
get_name	Get material constitutive model name.
get_required_model_parameters	Get required material constitutive model parameters.
get_strain_type	Get material constitutive model strain formulation.
set_device	Set device on which torch.Tensor is allocated.
state_init	Get initialized material constitutive model state variables.
state_update	Perform material constitutive model state update.

Methods

abstract __init__(strain_formulation, problem_type, model_parameters, device_type='cpu')

Constructor.

Parameters:

• strain_formulation ({'infinitesimal', 'finite'}) – Problem strain formulation.

• problem_type (int) – Problem type: 2D plane strain (1), 2D plane stress (2), 2D axisymmetric (3) and 3D (4).

• model_parameters (dict) – Material constitutive model parameters.

• device_type ({'cpu', 'cuda'}, default='cpu') – Type of device on which torch.Tensor is allocated.

get_device()

Get device on which torch.Tensor is allocated.

Returns:

• device_type ({‘cpu’, ‘cuda’}) – Type of device on which torch.Tensor is allocated.

• device (torch.device) – Device on which torch.Tensor is allocated.

get_model_parameters()

Get material constitutive model parameters.

Returns:

model_parameters – Material constitutive model parameters.

Return type:

dict

get_name()

Get material constitutive model name.

Returns:

name – Material constitutive model name.

Return type:

str

abstract static get_required_model_parameters()

Get required material constitutive model parameters.

Returns:

model_parameters_names – Material constitutive model parameters names (str).

Return type:

tuple[str]

get_strain_type()

Get material constitutive model strain formulation.

Returns:

strain_type – Material constitutive model strain formulation: infinitesimal strain formulation (‘infinitesimal’), finite strain formulation (‘finite’) or finite strain formulation through kinematic extension (‘finite-kinext’).

Return type:

{‘infinitesimal’, ‘finite’, ‘finite-kinext’}

set_device(device_type)

Set device on which torch.Tensor is allocated.

Parameters:

• device_type ({'cpu', 'cuda'}) – Type of device on which torch.Tensor is allocated.

• device (torch.device) – Device on which torch.Tensor is allocated.

abstract state_init()

Get initialized material constitutive model state variables.

Returns:

state_variables_init – Initialized material constitutive model state variables.

Return type:

dict

abstract state_update(inc_strain, state_variables_old)

Perform material constitutive model state update.

Parameters:

• inc_strain (torch.Tensor(2d)) – Incremental strain second-order tensor.

• state_variables_old (dict) – Last converged material constitutive model state variables.

Returns:

• state_variables (dict) – Material constitutive model state variables.

• consistent_tangent_mf (torch.Tensor(2d)) – Material constitutive model consistent tangent modulus stored in matricial form.