fd_constrained_numpy

compas_fd.solvers.fd_constrained_numpy(*, vertices, fixed, edges, forcedensities, loads=None, constraints, kmax=100, tol_res=0.001, tol_disp=0.001, damping=0.1, selfweight=None)

Iteratively compute the equilibrium coordinates of a system of vertices connected by edges. Vertex constraints are recomputed at each iteration.

Parameters:

verticesFloatNx3

Vertex coordinates.

fixedlist[int]

Indices of fixed vertices.

edgeslist[tuple[int, int]]

Edges as pairs of vertex indices.

forcedensitieslist[float]

Forcedensities of the edges.

loadsFloatNx3, optional

Loads on the vertices.

constraintslist[Constraint]

Vertex constraints.

kmaxint, optional

Maximum number of iterations.

tol_resfloat, optional

Tolerance for the maximum residual force at the non-fixed vertices.

tol_dispfloat, optional

Tolerance for the maximum displacement of the non-fixed vertices between two iterations.

dampingfloat, optional

Damping factor for the geometry update of constrained vertices between two iterations.

selfweightcallable, optional

Function that computes the selfweight of the vertices.

Returns:

Result

Result of the solver.

See also

compas_fd.solvers.fd_numpy()

Examples

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