pyHarm.Elements.NodeToNodeElements.Penalty3D¶

Attributes¶

`jaxf`
`jaxf`

Classes¶

Penalty3D

This element is a combination of an unilateral gap element and a jenkins element on the perpendicular directions when contact is made.

Functions¶

evalResidual_jax(x, om, Pdir, Pslave, Pmaster, mu, N0, ...)

Module Contents¶

pyHarm.Elements.NodeToNodeElements.Penalty3D.evalResidual_jax(x, om, Pdir, Pslave, Pmaster, mu, N0, g, k_n, k_t, DFT, DTF)¶

pyHarm.Elements.NodeToNodeElements.Penalty3D.jaxf¶

pyHarm.Elements.NodeToNodeElements.Penalty3D.jaxf = None¶

class pyHarm.Elements.NodeToNodeElements.Penalty3D.Penalty3D(nh: int, nti: int, name: str, data: dict, CS: pyHarm.CoordinateSystem.CoordinateSystem)¶

Bases: pyHarm.Elements.NodeToNodeElements.NodeToNodeElement.NodeToNodeElement

This element is a combination of an unilateral gap element and a jenkins element on the perpendicular directions when contact is made.

g¶

gap value.

Type:: float

k_n¶

linear spring value for the unilateral gap.

Type:: foat

k_t¶

linear spring value for the jenkins.

Type:: foat

mu¶

friction coefficient.

Type:: float

N0¶

normal preload on the element.

Type:: float

jac¶

if “analytical” uses analytical expression of jacobian, if “jax” uses automatic differentiation, if “DF” uses finite difference.

Type:: str

factory_keyword: str = 'Penalty3D'¶

keyword that is used to call the creation of this class in the system factory.

Type:: str

__post_init__()¶

__flag_update__()¶

adim(lc, wc)¶

Modifies the element properties according to the characteristic length and angular frequency.

k_n¶

modified linear coefficient for the unilateral gap to apply according to the characteristic parameters.

Type:: float

k_n¶

modified linear coefficient for the jenkins to apply according to the characteristic parameters.

Type:: float

g¶

modified gap value according to the characteristic parameters.

Type:: float

flag_adim¶

True if equations are to be adimensionalized

Type:: bool

evalResidual(xg, om)¶

Computes the residual.

Parameters:

xg (np.ndarray) – full displacement vector.
om (float) – angular frequency value.

Returns:

residual vector.

Return type:

np.ndarray

_evalJaco_ana(xg, om)¶

evalJacobian(xg, om)¶

Computes the jacobians.

Parameters:

xg (np.ndarray) – full displacement vector.
om (float) – angular frequency value.

Returns:

Jacobian with respect to displacement. np.ndarray: Jacobian with respect to angular frequency.

Return type:

np.ndarray