PenaltyConstraintHandler

PenaltyConstraintHandler(alpha_s: float, alpha_m: float)

Bases: ConstraintHandler

Penalty-based constraint handler.

PenaltyConstraintHandler enforces boundary constraints by adding very large stiffness (penalty numbers) along the constrained degrees of freedom, keeping the original size of the system matrix.

Tcl form

constraints Penalty <alphaS> <alphaM>

Note

Choosing penalty numbers too small can lead to constraint violations.
Choosing penalty numbers too large can result in numerical ill-conditioning.

Example

from femora.core.model import Model

model = Model()
handler = model.analysis.constraint.penalty(alpha_s=1e10, alpha_m=1e10)

Create a Penalty constraint handler.

Parameters:

Name	Type	Description	Default
`alpha_s`	`float`	Penalty scale factor for single-point (SP) constraints.	required
`alpha_m`	`float`	Penalty scale factor for multi-point (MP) constraints.	required