stag

gripyth.solving.stag

Staggered solver.

MODULE	DESCRIPTION
integration	Helper routines for numerical integration.

CLASS	DESCRIPTION
StagParameters	Parameters for the staggered solver.
StagVariables	Variables table of the staggered solver.

FUNCTION	DESCRIPTION
post_iter_update	Update after iteration of the staggered solver.

StagParameters dataclass

Parameters for the staggered solver.

ATTRIBUTE	DESCRIPTION
max_iter	maximum number of iterations TYPE: int
tol	tolerance TYPE: float

max_iter class-attribute instance-attribute

max_iter: int = 1000

maximum number of iterations

tol class-attribute instance-attribute

tol: float = 0.0001

tolerance

StagVariables dataclass

Variables table of the staggered solver.

METHOD	DESCRIPTION
__init__	Creates staggered solver variables.

__init__

__init__(parameters: StagParameters)

Creates staggered solver variables.

Arrays of length max_iter are allocated for each variable.

post_iter_update

post_iter_update(
    split_type: SplitType,
    i_stag: int,
    variables: StagVariables,
    mesh: Mesh,
    geometry: Geometry,
    material: Material,
    elasticity_tensor: NDArray[float64],
    stress_state: StressState,
    dofs: Dofs,
    quadrature: Quadrature,
    stiffness_matrix: StiffnessMatrix,
    dissipation: DissipationFunction,
    d_rhs_tract: NDArray[float64],
    p_field: NDArray[float64],
    displ: NDArray[float64],
    res_pf_0: float,
    res_pf: float,
    res_displ_0: float,
    parameters: StagParameters,
) -> tuple[
    StagVariables, NDArray[float64], bool, NDArray[float64]
]

Update after iteration of the staggered solver.