TrussTopOptProblems

TrussProblem(::Val{:Linear}, node_points, elements, loads, fixities, mats, crosssecs)

Truss topology optimization problem. Construct from node coordinates, element connectivity, loads, fixities, material and cross-section data. Use load_truss_json to load these from a JSON file.

TrussFEAMaterial(E, ν)

Material container for truss FEA: Young's modulus E and Poisson's ratio ν.

TrussFEACrossSec(A)

Cross-section container for truss FEA with area A.

TrussGrid(node_points, elements)

Ferrite grid for truss problems, built from node coordinates and element connectivity.

PointLoadCantileverTruss(nels::NTuple{dim,Int}, sizes::NTuple{dim}, E = 1.0, ν = 0.3, force = 1.0; k_connect=1) where {dim, CellType}

Inputs

• nels: number of elements in each direction, a 2-tuple for 2D problems and a 3-tuple for 3D problems
• sizes: the size of each element in each direction, a 2-tuple for 2D problems and a 3-tuple for 3D problems
• E: Young's modulus
• ν: Poisson's ration
• force: force at the center right of the cantilever beam (positive is downward)
• k_connect: k-ring of a node to connect to form the ground mesh. Defaults to 1. For example, for a 2D domain, a node will be connected to 8 neighboring nodes if k_connect=1, and 8+16=24 neighboring nodes if k_connect=2.

Returns

• TrussProblem

Example

nels = (60,20);sizes = (1.0,1.0);E = 1.0;ν = 0.3;force = 1.0;problem = PointLoadCantileverTruss(nels, sizes, E, ν, force, k_connect=2)

load_truss_json(path)

Load a 2D/3D truss problem from a JSON file. Returns (node_points, elements, mats, crosssecs, fixities, load_cases). Indices in the JSON are zero-based (Python convention).

load_truss_geo(path)

Load truss geometry from a .geo file. Returns node coordinates and element connectivity.