Summary#
GooseFEM#
- GooseFEM.AsTensor(*args, **kwargs)#
Overloaded function.
AsTensor(arg: numpy.ndarray[numpy.float64], shape: List[int]) -> numpy.ndarray[numpy.float64]
See
GooseFEM::AsTensor()
.AsTensor(rank: int, arg: numpy.ndarray[numpy.float64], n: int) -> numpy.ndarray[numpy.float64]
See
GooseFEM::AsTensor()
.
- class GooseFEM.Matrix#
Bases:
pybind11_object
- Dot(*args, **kwargs)#
Overloaded function.
Dot(self: GooseFEM.Matrix, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
Dot(self: GooseFEM.Matrix, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
- Todense(self: GooseFEM.Matrix) numpy.ndarray[numpy.float64] #
Return a dense matrix (copy)
- __init__(self: GooseFEM.Matrix, conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64]) None #
See
GooseFEM::Matrix
.
- __repr__(self: GooseFEM.Matrix) str #
- add(self: GooseFEM.Matrix, rows: numpy.ndarray[numpy.uint64], cols: numpy.ndarray[numpy.uint64], matrix: numpy.ndarray[numpy.float64]) None #
- assemble(self: GooseFEM.Matrix, elemmat: numpy.ndarray[numpy.float64]) None #
Assemble from elemmat
- property conn#
Connectivity [nelem, nne]
- property data#
- property dofs#
DOFs [nnode, ndim]
- dot(*args, **kwargs)#
Overloaded function.
dot(self: GooseFEM.Matrix, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
dot(self: GooseFEM.Matrix, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
- property ndim#
Number of dimensions
- property ndof#
Number of DOFs
- property nelem#
Number of elements
- property nne#
Number of nodes per element
- property nnode#
Number of nodes
- set(self: GooseFEM.Matrix, rows: numpy.ndarray[numpy.uint64], cols: numpy.ndarray[numpy.uint64], matrix: numpy.ndarray[numpy.float64]) None #
- todense(self: GooseFEM.Matrix, ret: numpy.ndarray[numpy.float64]) None #
Dense matrix (write to ret)
- class GooseFEM.MatrixDiagonal#
Bases:
pybind11_object
- Dot(*args, **kwargs)#
Overloaded function.
Dot(self: GooseFEM.MatrixDiagonal, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
Dot(self: GooseFEM.MatrixDiagonal, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
- Solve(*args, **kwargs)#
Overloaded function.
Solve(self: GooseFEM.MatrixDiagonal, b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Solve
Solve(self: GooseFEM.MatrixDiagonal, b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Solve
- Todense(self: GooseFEM.MatrixDiagonal) numpy.ndarray[numpy.float64] #
Return a dense matrix (copy)
- __annotations__ = {}#
- __init__(self: GooseFEM.MatrixDiagonal, conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64]) None #
- __repr__(self: GooseFEM.MatrixDiagonal) str #
- assemble(self: GooseFEM.MatrixDiagonal, elemmat: numpy.ndarray[numpy.float64]) None #
Assemble from elemmat
- property conn#
Connectivity [nelem, nne]
- property data#
- property dofs#
DOFs [nnode, ndim]
- dot(*args, **kwargs)#
Overloaded function.
dot(self: GooseFEM.MatrixDiagonal, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
dot(self: GooseFEM.MatrixDiagonal, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
- property ndim#
Number of dimensions
- property ndof#
Number of DOFs
- property nelem#
Number of elements
- property nne#
Number of nodes per element
- property nnode#
Number of nodes
- solve(*args, **kwargs)#
Overloaded function.
solve(self: GooseFEM.MatrixDiagonal, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> None
Solve (write to x)
solve(self: GooseFEM.MatrixDiagonal, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> None
Solve (write to x)
- todense(self: GooseFEM.MatrixDiagonal, ret: numpy.ndarray[numpy.float64]) None #
Dense matrix (write to ret)
- class GooseFEM.MatrixDiagonalPartitioned#
Bases:
pybind11_object
- Dot(*args, **kwargs)#
Overloaded function.
Dot(self: GooseFEM.MatrixDiagonalPartitioned, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
Dot(self: GooseFEM.MatrixDiagonalPartitioned, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
- Dot_p(self: GooseFEM.MatrixDiagonalPartitioned, x_u: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Dot_u(self: GooseFEM.MatrixDiagonalPartitioned, x_u: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Reaction(*args, **kwargs)#
Overloaded function.
Reaction(self: GooseFEM.MatrixDiagonalPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Return
b
with correct right-hand-sideReaction(self: GooseFEM.MatrixDiagonalPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Return
b
with correct right-hand-side
- Reaction_p(self: GooseFEM.MatrixDiagonalPartitioned, x_u: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
Return
b_p
- Solve_u(self: GooseFEM.MatrixDiagonalPartitioned, b_u: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Todense(self: GooseFEM.MatrixDiagonalPartitioned) numpy.ndarray[numpy.float64] #
Return a dense matrix (copy)
- __annotations__ = {}#
- __init__(self: GooseFEM.MatrixDiagonalPartitioned, conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64], iip: numpy.ndarray[numpy.uint64]) None #
- __repr__(self: GooseFEM.MatrixDiagonalPartitioned) str #
- assemble(self: GooseFEM.MatrixDiagonalPartitioned, elemmat: numpy.ndarray[numpy.float64]) None #
Assemble from elemmat
- property conn#
Connectivity [nelem, nne]
- property data#
Copy to assemble diagonal matrix
- property data_pp#
- property data_uu#
- property dofs#
DOFs [nnode, ndim]
- dot(*args, **kwargs)#
Overloaded function.
dot(self: GooseFEM.MatrixDiagonalPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
dot(self: GooseFEM.MatrixDiagonalPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
- property iip#
Prescribed DOFs
- property iiu#
Unknown DOFs
- property ndim#
Number of dimensions
- property ndof#
Number of DOFs
- property nelem#
Number of elements
- property nne#
Number of nodes per element
- property nnode#
Number of nodes
- property nnp#
Number of prescribed DOFs
- property nnu#
Number of unknown DOFs
- reaction(*args, **kwargs)#
Overloaded function.
reaction(self: GooseFEM.MatrixDiagonalPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Update
b
with correct right-hand-sidereaction(self: GooseFEM.MatrixDiagonalPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Update
b
with correct right-hand-side
- todense(self: GooseFEM.MatrixDiagonalPartitioned, ret: numpy.ndarray[numpy.float64]) None #
Dense matrix (write to ret)
- class GooseFEM.MatrixPartitioned#
Bases:
pybind11_object
- Dot(*args, **kwargs)#
Overloaded function.
Dot(self: GooseFEM.MatrixPartitioned, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
Dot(self: GooseFEM.MatrixPartitioned, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
- Reaction(*args, **kwargs)#
Overloaded function.
Reaction(self: GooseFEM.MatrixPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Return
b
with correct right-hand-sideReaction(self: GooseFEM.MatrixPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Return
b
with correct right-hand-side
- Reaction_p(self: GooseFEM.MatrixPartitioned, x_u: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
Return
b_p
- Todense(self: GooseFEM.MatrixPartitioned) numpy.ndarray[numpy.float64] #
Return a dense matrix (copy)
- __annotations__ = {}#
- __init__(self: GooseFEM.MatrixPartitioned, conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64], iip: numpy.ndarray[numpy.uint64]) None #
- __repr__(self: GooseFEM.MatrixPartitioned) str #
- assemble(self: GooseFEM.MatrixPartitioned, elemmat: numpy.ndarray[numpy.float64]) None #
Assemble from elemmat
- property conn#
Connectivity [nelem, nne]
- property data_pp#
- property data_pu#
- property data_up#
- property data_uu#
- property dofs#
DOFs [nnode, ndim]
- dot(*args, **kwargs)#
Overloaded function.
dot(self: GooseFEM.MatrixPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
dot(self: GooseFEM.MatrixPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
- property iip#
Prescribed DOFs
- property iiu#
Unknown DOFs
- property ndim#
Number of dimensions
- property ndof#
Number of DOFs
- property nelem#
Number of elements
- property nne#
Number of nodes per element
- property nnode#
Number of nodes
- property nnp#
Number of prescribed DOFs
- property nnu#
Number of unknown DOFs
- reaction(*args, **kwargs)#
Overloaded function.
reaction(self: GooseFEM.MatrixPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Update
b
with correct right-hand-sidereaction(self: GooseFEM.MatrixPartitioned, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Update
b
with correct right-hand-side
- todense(self: GooseFEM.MatrixPartitioned, ret: numpy.ndarray[numpy.float64]) None #
Dense matrix (write to ret)
- class GooseFEM.MatrixPartitionedSolver#
Bases:
pybind11_object
- Solve(*args, **kwargs)#
Overloaded function.
Solve(self: GooseFEM.MatrixPartitionedSolver, A: GooseFEM.MatrixPartitioned, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Solve system.
Solve(self: GooseFEM.MatrixPartitionedSolver, A: GooseFEM.MatrixPartitioned, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Solve system.
- Solve_u(self: GooseFEM.MatrixPartitionedSolver, A: GooseFEM.MatrixPartitioned, b_u: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
Solve system.
- __annotations__ = {}#
- __init__(self: GooseFEM.MatrixPartitionedSolver) None #
- __repr__(self: GooseFEM.MatrixPartitionedSolver) str #
- solve(*args, **kwargs)#
Overloaded function.
solve(self: GooseFEM.MatrixPartitionedSolver, A: GooseFEM.MatrixPartitioned, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> None
Solve system.
solve(self: GooseFEM.MatrixPartitionedSolver, A: GooseFEM.MatrixPartitioned, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> None
Solve system.
- solve_u(self: GooseFEM.MatrixPartitionedSolver, A: GooseFEM.MatrixPartitioned, b_u: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64], x_u: numpy.ndarray[numpy.float64]) None #
Solve system.
- class GooseFEM.MatrixPartitionedTyings#
Bases:
pybind11_object
- Dot(*args, **kwargs)#
Overloaded function.
Dot(self: GooseFEM.MatrixPartitionedTyings, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
Dot(self: GooseFEM.MatrixPartitionedTyings, x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Dot product.
- Reaction(*args, **kwargs)#
Overloaded function.
Reaction(self: GooseFEM.MatrixPartitionedTyings, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Return
b
with correct right-hand-sideReaction(self: GooseFEM.MatrixPartitionedTyings, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Return
b
with correct right-hand-side
- Reaction_p(self: GooseFEM.MatrixPartitionedTyings, x_u: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
Return
b_p
- Todense(self: GooseFEM.MatrixPartitionedTyings) numpy.ndarray[numpy.float64] #
Return a dense matrix (copy)
- __annotations__ = {}#
- __init__(self: GooseFEM.MatrixPartitionedTyings, conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64], Cdu: scipy.sparse.csc_matrix[numpy.float64], Cdp: scipy.sparse.csc_matrix[numpy.float64]) None #
- __repr__(self: GooseFEM.MatrixPartitionedTyings) str #
- assemble(self: GooseFEM.MatrixPartitionedTyings, elemmat: numpy.ndarray[numpy.float64]) None #
Assemble from elemmat
- property conn#
Connectivity [nelem, nne]
- property data_dd#
- property data_dp#
- property data_du#
- property data_pd#
- property data_pp#
- property data_pu#
- property data_ud#
- property data_up#
- property data_uu#
- property dofs#
DOFs [nnode, ndim]
- dot(*args, **kwargs)#
Overloaded function.
dot(self: GooseFEM.MatrixPartitionedTyings, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
dot(self: GooseFEM.MatrixPartitionedTyings, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Dot product (write to b).
- property iid#
Dependent DOFs
- property iii#
Independent DOFs
- property iip#
Prescribed DOFs
- property iiu#
Unknown DOFs
- property ndim#
Number of dimensions
- property ndof#
Number of DOFs
- property nelem#
Number of elements
- property nnd#
Number of dependent DOFs
- property nne#
Number of nodes per element
- property nni#
Number of independent DOFs
- property nnode#
Number of nodes
- property nnp#
Number of prescribed DOFs
- property nnu#
Number of unknown DOFs
- reaction(*args, **kwargs)#
Overloaded function.
reaction(self: GooseFEM.MatrixPartitionedTyings, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Update
b
with correct right-hand-sidereaction(self: GooseFEM.MatrixPartitionedTyings, x: numpy.ndarray[numpy.float64], b: numpy.ndarray[numpy.float64]) -> None
Update
b
with correct right-hand-side
- todense(self: GooseFEM.MatrixPartitionedTyings, ret: numpy.ndarray[numpy.float64]) None #
Dense matrix (write to ret)
- class GooseFEM.MatrixPartitionedTyingsSolver#
Bases:
pybind11_object
- Solve(*args, **kwargs)#
Overloaded function.
Solve(self: GooseFEM.MatrixPartitionedTyingsSolver, A: GooseFEM.MatrixPartitionedTyings, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Solve system.
Solve(self: GooseFEM.MatrixPartitionedTyingsSolver, A: GooseFEM.MatrixPartitionedTyings, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Solve system.
- Solve_u(self: GooseFEM.MatrixPartitionedTyingsSolver, matrix: GooseFEM.MatrixPartitionedTyings, b_u: numpy.ndarray[numpy.float64], b_d: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- __annotations__ = {}#
- __init__(self: GooseFEM.MatrixPartitionedTyingsSolver) None #
- __repr__(self: GooseFEM.MatrixPartitionedTyingsSolver) str #
- solve(*args, **kwargs)#
Overloaded function.
solve(self: GooseFEM.MatrixPartitionedTyingsSolver, A: GooseFEM.MatrixPartitionedTyings, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> None
Solve system.
solve(self: GooseFEM.MatrixPartitionedTyingsSolver, A: GooseFEM.MatrixPartitionedTyings, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> None
Solve system.
- solve_u(self: GooseFEM.MatrixPartitionedTyingsSolver, matrix: GooseFEM.MatrixPartitionedTyings, b_u: numpy.ndarray[numpy.float64], b_d: numpy.ndarray[numpy.float64], x_p: numpy.ndarray[numpy.float64], x_u: numpy.ndarray[numpy.float64]) None #
- class GooseFEM.MatrixSolver#
Bases:
pybind11_object
- Solve(*args, **kwargs)#
Overloaded function.
Solve(self: GooseFEM.MatrixSolver, A: GooseFEM.Matrix, b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Solve system.
Solve(self: GooseFEM.MatrixSolver, A: GooseFEM.Matrix, b: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
Solve system.
- __annotations__ = {}#
- __init__(self: GooseFEM.MatrixSolver) None #
- __repr__(self: GooseFEM.MatrixSolver) str #
- solve(*args, **kwargs)#
Overloaded function.
solve(self: GooseFEM.MatrixSolver, A: GooseFEM.Matrix, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> None
Solve system.
solve(self: GooseFEM.MatrixSolver, A: GooseFEM.Matrix, b: numpy.ndarray[numpy.float64], x: numpy.ndarray[numpy.float64]) -> None
Solve system.
- class GooseFEM.Vector#
Bases:
pybind11_object
- AsDofs(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- AsElement(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- AsNode(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- AssembleDofs(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- AssembleNode(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Copy(self: GooseFEM.Vector, nodevec_src: numpy.ndarray[numpy.float64], nodevec_dest: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- __annotations__ = {}#
- __init__(self: GooseFEM.Vector, conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64]) None #
See
GooseFEM::Vector
.
- __repr__(self: GooseFEM.Vector) str #
- allocate_dofval(*args, **kwargs)#
Overloaded function.
allocate_dofval(self: GooseFEM.Vector) -> numpy.ndarray[numpy.float64]
allocate_dofval(self: GooseFEM.Vector, arg0: float) -> numpy.ndarray[numpy.float64]
- allocate_elemmat(*args, **kwargs)#
Overloaded function.
allocate_elemmat(self: GooseFEM.Vector) -> numpy.ndarray[numpy.float64]
allocate_elemmat(self: GooseFEM.Vector, arg0: float) -> numpy.ndarray[numpy.float64]
- allocate_elemvec(*args, **kwargs)#
Overloaded function.
allocate_elemvec(self: GooseFEM.Vector) -> numpy.ndarray[numpy.float64]
allocate_elemvec(self: GooseFEM.Vector, arg0: float) -> numpy.ndarray[numpy.float64]
- allocate_nodevec(*args, **kwargs)#
Overloaded function.
allocate_nodevec(self: GooseFEM.Vector) -> numpy.ndarray[numpy.float64]
allocate_nodevec(self: GooseFEM.Vector, arg0: float) -> numpy.ndarray[numpy.float64]
- asDofs(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64], ret: numpy.ndarray[numpy.float64]) None #
- asElement(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64], ret: numpy.ndarray[numpy.float64]) None #
- asNode(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64], ret: numpy.ndarray[numpy.float64]) None #
- assembleDofs(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64], ret: numpy.ndarray[numpy.float64]) None #
- assembleNode(self: GooseFEM.Vector, arg: numpy.ndarray[numpy.float64], ret: numpy.ndarray[numpy.float64]) None #
- property conn#
- copy(self: GooseFEM.Vector, nodevec_src: numpy.ndarray[numpy.float64], nodevec_dest: numpy.ndarray[numpy.float64]) None #
- property dofs#
- property ndim#
- property ndof#
- property nelem#
- property nne#
- property nnode#
- property shape_dofval#
- property shape_elemmat#
- property shape_elemvec#
- property shape_nodevec#
- class GooseFEM.VectorPartitioned#
Bases:
Vector
- AsDofs_p(*args, **kwargs)#
Overloaded function.
AsDofs_p(self: GooseFEM.VectorPartitioned, nodevec: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
AsDofs_p(self: GooseFEM.VectorPartitioned, elemvec: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
- AsDofs_u(*args, **kwargs)#
Overloaded function.
AsDofs_u(self: GooseFEM.VectorPartitioned, nodevec: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
AsDofs_u(self: GooseFEM.VectorPartitioned, elemvec: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
- Copy_p(self: GooseFEM.VectorPartitioned, nodevec_src: numpy.ndarray[numpy.float64], nodevec_dest: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Copy_u(self: GooseFEM.VectorPartitioned, nodevec_src: numpy.ndarray[numpy.float64], nodevec_dest: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- DofsFromParitioned(self: GooseFEM.VectorPartitioned, dofval_u: numpy.ndarray[numpy.float64], dofval_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- ElementFromPartitioned(self: GooseFEM.VectorPartitioned, dofval_u: numpy.ndarray[numpy.float64], dofval_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- NodeFromPartitioned(self: GooseFEM.VectorPartitioned, dofval_u: numpy.ndarray[numpy.float64], dofval_p: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- __annotations__ = {}#
- __init__(self: GooseFEM.VectorPartitioned, conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64], iip: numpy.ndarray[numpy.uint64]) None #
- __repr__(self: GooseFEM.VectorPartitioned) str #
- copy_p(self: GooseFEM.VectorPartitioned, nodevec_src: numpy.ndarray[numpy.float64], nodevec_dest: numpy.ndarray[numpy.float64]) None #
- copy_u(self: GooseFEM.VectorPartitioned, nodevec_src: numpy.ndarray[numpy.float64], nodevec_dest: numpy.ndarray[numpy.float64]) None #
- property dofs_is_p#
- property dofs_is_u#
- property iip#
- property iiu#
- property nnp#
- property nnu#
- class GooseFEM.VectorPartitionedTyings#
Bases:
Vector
- AsDofs_i(self: GooseFEM.VectorPartitionedTyings, nodevec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- __annotations__ = {}#
- __init__(self: GooseFEM.VectorPartitionedTyings, conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64], Cdu: scipy.sparse.csc_matrix[numpy.float64], Cdp: scipy.sparse.csc_matrix[numpy.float64], Cdi: scipy.sparse.csc_matrix[numpy.float64]) None #
- __repr__(self: GooseFEM.VectorPartitionedTyings) str #
- asDofs_i(self: GooseFEM.VectorPartitionedTyings, nodevec: numpy.ndarray[numpy.float64], dofval_i: numpy.ndarray[numpy.float64], apply_tyings: bool = True) None #
- copy_p(self: GooseFEM.VectorPartitionedTyings, dofval_src: numpy.ndarray[numpy.float64], dofval_dest: numpy.ndarray[numpy.float64]) None #
- property iid#
- property iii#
- property iip#
- property iiu#
- property nnd#
- property nni#
- property nnp#
- property nnu#
- GooseFEM.as3d(arg: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
See
GooseFEM::as3d()
.
- GooseFEM.is_unique(a: numpy.ndarray[numpy.int64]) bool #
- GooseFEM.version() str #
See
GooseFEM::version()
.
- GooseFEM.version_dependencies() List[str] #
GooseFEM.Iterate#
Iteration support tools
- class GooseFEM.Iterate.StopList#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Iterate.StopList, n: int = 1) None #
- __repr__(self: GooseFEM.Iterate.StopList) str #
- all_less(self: GooseFEM.Iterate.StopList, tol: float) bool #
- property data#
- descending(self: GooseFEM.Iterate.StopList) bool #
- reset(self: GooseFEM.Iterate.StopList) None #
- roll_insert(self: GooseFEM.Iterate.StopList, res: float) None #
GooseFEM.Element#
Generic element routines
- GooseFEM.Element.asElementVector(conn: numpy.ndarray[numpy.uint64], nodevec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- GooseFEM.Element.assembleElementVector(conn: numpy.ndarray[numpy.uint64], elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
GooseFEM.Element.Quad4#
Linear quadrilateral elements (2D)
- class GooseFEM.Element.Quad4.Quadrature#
Bases:
pybind11_object
- AsTensor(self: GooseFEM.Element.Quad4.Quadrature, rank: int, qscalar: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- property GradN#
Shape function gradients [nelem, nip, nne, ndim]
- GradN_vector(self: GooseFEM.Element.Quad4.Quadrature, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- GradN_vector_T(self: GooseFEM.Element.Quad4.Quadrature, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_N_scalar_NT_dV(self: GooseFEM.Element.Quad4.Quadrature, qscalar: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_N_vector_dV(self: GooseFEM.Element.Quad4.Quadrature, qvector: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_gradN_dot_tensor2_dV(self: GooseFEM.Element.Quad4.Quadrature, qtensor: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_gradN_dot_tensor4_dot_gradNT_dV(self: GooseFEM.Element.Quad4.Quadrature, qtensor: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- InterpQuad_vector(self: GooseFEM.Element.Quad4.Quadrature, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- SymGradN_vector(self: GooseFEM.Element.Quad4.Quadrature, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- __annotations__ = {}#
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: GooseFEM.Element.Quad4.Quadrature, x: numpy.ndarray[numpy.float64]) -> None
See
GooseFEM::Element::Quad4::Quadrature
.__init__(self: GooseFEM.Element.Quad4.Quadrature, x: numpy.ndarray[numpy.float64], xi: numpy.ndarray[numpy.float64], w: numpy.ndarray[numpy.float64]) -> None
- __repr__(self: GooseFEM.Element.Quad4.Quadrature) str #
- property dV#
Integration point volume (qscalar)
- gradN_vector(self: GooseFEM.Element.Quad4.Quadrature, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- gradN_vector_T(self: GooseFEM.Element.Quad4.Quadrature, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- int_N_scalar_NT_dV(self: GooseFEM.Element.Quad4.Quadrature, qscalar: numpy.ndarray[numpy.float64], elemmat: numpy.ndarray[numpy.float64]) None #
- int_N_vector_dV(self: GooseFEM.Element.Quad4.Quadrature, qvector: numpy.ndarray[numpy.float64], elemvec: numpy.ndarray[numpy.float64]) None #
- int_gradN_dot_tensor2_dV(self: GooseFEM.Element.Quad4.Quadrature, qtensor: numpy.ndarray[numpy.float64], elemvec: numpy.ndarray[numpy.float64]) None #
- int_gradN_dot_tensor4_dot_gradNT_dV(self: GooseFEM.Element.Quad4.Quadrature, qtensor: numpy.ndarray[numpy.float64], elemmat: numpy.ndarray[numpy.float64]) None #
- interpQuad_vector(self: GooseFEM.Element.Quad4.Quadrature, elemvec: numpy.ndarray[numpy.float64], qvector: numpy.ndarray[numpy.float64]) None #
- property ndim#
Number of spatial dimensions
- property nelem#
Number of elements
- property nip#
Number of integration points per element
- property nne#
Number of nodes per element
- shape_elemmat(self: GooseFEM.Element.Quad4.Quadrature) Annotated[List[int], FixedSize(3)] #
- shape_elemvec(*args, **kwargs)#
Overloaded function.
shape_elemvec(self: GooseFEM.Element.Quad4.Quadrature) -> Annotated[List[int], FixedSize(3)]
shape_elemvec(self: GooseFEM.Element.Quad4.Quadrature, tdim: int) -> Annotated[List[int], FixedSize(3)]
- shape_qscalar(self: GooseFEM.Element.Quad4.Quadrature) Annotated[List[int], FixedSize(2)] #
- shape_qtensor(*args, **kwargs)#
Overloaded function.
shape_qtensor(self: GooseFEM.Element.Quad4.Quadrature, rank: int) -> List[int]
shape_qtensor(self: GooseFEM.Element.Quad4.Quadrature, rank: int, tdim: int) -> List[int]
- shape_qvector(*args, **kwargs)#
Overloaded function.
shape_qvector(self: GooseFEM.Element.Quad4.Quadrature) -> Annotated[List[int], FixedSize(3)]
shape_qvector(self: GooseFEM.Element.Quad4.Quadrature, tdim: int) -> Annotated[List[int], FixedSize(3)]
- symGradN_vector(self: GooseFEM.Element.Quad4.Quadrature, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- property tdim#
Number of spatial dimensions for tensors
- update_x(self: GooseFEM.Element.Quad4.Quadrature, x: numpy.ndarray[numpy.float64]) None #
- class GooseFEM.Element.Quad4.QuadratureAxisymmetric#
Bases:
pybind11_object
- AsTensor(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, rank: int, qscalar: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- property B#
B-matrix (shape function gradients) [nelem, nne, tdim, tdim, tdim]
- GradN_vector(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- GradN_vector_T(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_N_scalar_NT_dV(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, qscalar: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_N_vector_dV(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, qvector: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_gradN_dot_tensor2_dV(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, qtensor: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_gradN_dot_tensor4_dot_gradNT_dV(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, qtensor: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- InterpQuad_vector(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- SymGradN_vector(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- __annotations__ = {}#
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, x: numpy.ndarray[numpy.float64]) -> None
See
GooseFEM::Element::Quad4::QuadratureAxisymmetric
.__init__(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, x: numpy.ndarray[numpy.float64], xi: numpy.ndarray[numpy.float64], w: numpy.ndarray[numpy.float64]) -> None
- __repr__(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric) str #
- property dV#
Integration point volume (qscalar)
- gradN_vector(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- gradN_vector_T(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- int_N_scalar_NT_dV(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, qscalar: numpy.ndarray[numpy.float64], elemmat: numpy.ndarray[numpy.float64]) None #
- int_N_vector_dV(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, qvector: numpy.ndarray[numpy.float64], elemvec: numpy.ndarray[numpy.float64]) None #
- int_gradN_dot_tensor2_dV(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, qtensor: numpy.ndarray[numpy.float64], elemvec: numpy.ndarray[numpy.float64]) None #
- int_gradN_dot_tensor4_dot_gradNT_dV(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, qtensor: numpy.ndarray[numpy.float64], elemmat: numpy.ndarray[numpy.float64]) None #
- interpQuad_vector(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, elemvec: numpy.ndarray[numpy.float64], qvector: numpy.ndarray[numpy.float64]) None #
- property ndim#
Number of spatial dimensions
- property nelem#
Number of elements
- property nip#
Number of integration points per element
- property nne#
Number of nodes per element
- shape_elemmat(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric) Annotated[List[int], FixedSize(3)] #
- shape_elemvec(*args, **kwargs)#
Overloaded function.
shape_elemvec(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric) -> Annotated[List[int], FixedSize(3)]
shape_elemvec(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, tdim: int) -> Annotated[List[int], FixedSize(3)]
- shape_qscalar(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric) Annotated[List[int], FixedSize(2)] #
- shape_qtensor(*args, **kwargs)#
Overloaded function.
shape_qtensor(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, rank: int) -> List[int]
shape_qtensor(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, rank: int, tdim: int) -> List[int]
- shape_qvector(*args, **kwargs)#
Overloaded function.
shape_qvector(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric) -> Annotated[List[int], FixedSize(3)]
shape_qvector(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, tdim: int) -> Annotated[List[int], FixedSize(3)]
- symGradN_vector(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- property tdim#
Number of spatial dimensions for tensors
- update_x(self: GooseFEM.Element.Quad4.QuadratureAxisymmetric, x: numpy.ndarray[numpy.float64]) None #
- class GooseFEM.Element.Quad4.QuadraturePlanar#
Bases:
pybind11_object
- AsTensor(self: GooseFEM.Element.Quad4.QuadraturePlanar, rank: int, qscalar: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- property GradN#
Shape function gradients [nelem, nip, nne, ndim]
- GradN_vector(self: GooseFEM.Element.Quad4.QuadraturePlanar, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- GradN_vector_T(self: GooseFEM.Element.Quad4.QuadraturePlanar, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_N_scalar_NT_dV(self: GooseFEM.Element.Quad4.QuadraturePlanar, qscalar: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_N_vector_dV(self: GooseFEM.Element.Quad4.QuadraturePlanar, qvector: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_gradN_dot_tensor2_dV(self: GooseFEM.Element.Quad4.QuadraturePlanar, qtensor: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_gradN_dot_tensor4_dot_gradNT_dV(self: GooseFEM.Element.Quad4.QuadraturePlanar, qtensor: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- InterpQuad_vector(self: GooseFEM.Element.Quad4.QuadraturePlanar, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- SymGradN_vector(self: GooseFEM.Element.Quad4.QuadraturePlanar, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- __annotations__ = {}#
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: GooseFEM.Element.Quad4.QuadraturePlanar, x: numpy.ndarray[numpy.float64], thick: float = 1.0) -> None
See
GooseFEM::Element::Quad4::QuadraturePlanar
.__init__(self: GooseFEM.Element.Quad4.QuadraturePlanar, x: numpy.ndarray[numpy.float64], xi: numpy.ndarray[numpy.float64], w: numpy.ndarray[numpy.float64], thick: float = 1.0) -> None
- __repr__(self: GooseFEM.Element.Quad4.QuadraturePlanar) str #
- property dV#
Integration point volume (qscalar)
- gradN_vector(self: GooseFEM.Element.Quad4.QuadraturePlanar, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- gradN_vector_T(self: GooseFEM.Element.Quad4.QuadraturePlanar, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- int_N_scalar_NT_dV(self: GooseFEM.Element.Quad4.QuadraturePlanar, qscalar: numpy.ndarray[numpy.float64], elemmat: numpy.ndarray[numpy.float64]) None #
- int_N_vector_dV(self: GooseFEM.Element.Quad4.QuadraturePlanar, qvector: numpy.ndarray[numpy.float64], elemvec: numpy.ndarray[numpy.float64]) None #
- int_gradN_dot_tensor2_dV(self: GooseFEM.Element.Quad4.QuadraturePlanar, qtensor: numpy.ndarray[numpy.float64], elemvec: numpy.ndarray[numpy.float64]) None #
- int_gradN_dot_tensor4_dot_gradNT_dV(self: GooseFEM.Element.Quad4.QuadraturePlanar, qtensor: numpy.ndarray[numpy.float64], elemmat: numpy.ndarray[numpy.float64]) None #
- interpQuad_vector(self: GooseFEM.Element.Quad4.QuadraturePlanar, elemvec: numpy.ndarray[numpy.float64], qvector: numpy.ndarray[numpy.float64]) None #
- property ndim#
Number of spatial dimensions
- property nelem#
Number of elements
- property nip#
Number of integration points per element
- property nne#
Number of nodes per element
- shape_elemmat(self: GooseFEM.Element.Quad4.QuadraturePlanar) Annotated[List[int], FixedSize(3)] #
- shape_elemvec(*args, **kwargs)#
Overloaded function.
shape_elemvec(self: GooseFEM.Element.Quad4.QuadraturePlanar) -> Annotated[List[int], FixedSize(3)]
shape_elemvec(self: GooseFEM.Element.Quad4.QuadraturePlanar, tdim: int) -> Annotated[List[int], FixedSize(3)]
- shape_qscalar(self: GooseFEM.Element.Quad4.QuadraturePlanar) Annotated[List[int], FixedSize(2)] #
- shape_qtensor(*args, **kwargs)#
Overloaded function.
shape_qtensor(self: GooseFEM.Element.Quad4.QuadraturePlanar, rank: int) -> List[int]
shape_qtensor(self: GooseFEM.Element.Quad4.QuadraturePlanar, rank: int, tdim: int) -> List[int]
- shape_qvector(*args, **kwargs)#
Overloaded function.
shape_qvector(self: GooseFEM.Element.Quad4.QuadraturePlanar) -> Annotated[List[int], FixedSize(3)]
shape_qvector(self: GooseFEM.Element.Quad4.QuadraturePlanar, tdim: int) -> Annotated[List[int], FixedSize(3)]
- symGradN_vector(self: GooseFEM.Element.Quad4.QuadraturePlanar, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- property tdim#
Number of spatial dimensions for tensors
- update_x(self: GooseFEM.Element.Quad4.QuadraturePlanar, x: numpy.ndarray[numpy.float64]) None #
GooseFEM.Element.Quad4.Gauss#
Gauss quadrature
- GooseFEM.Element.Quad4.Gauss.nip() int #
- GooseFEM.Element.Quad4.Gauss.w() numpy.ndarray[numpy.float64] #
- GooseFEM.Element.Quad4.Gauss.xi() numpy.ndarray[numpy.float64] #
GooseFEM.Element.Quad4.Nodal#
Nodal quadrature
- GooseFEM.Element.Quad4.Nodal.nip() int #
- GooseFEM.Element.Quad4.Nodal.w() numpy.ndarray[numpy.float64] #
- GooseFEM.Element.Quad4.Nodal.xi() numpy.ndarray[numpy.float64] #
GooseFEM.Element.Quad4.MidPoint#
MidPoint quadrature
- GooseFEM.Element.Quad4.MidPoint.nip() int #
- GooseFEM.Element.Quad4.MidPoint.w() numpy.ndarray[numpy.float64] #
- GooseFEM.Element.Quad4.MidPoint.xi() numpy.ndarray[numpy.float64] #
GooseFEM.Element.Hex8#
Linear hexahedron (brick) elements (3D)
- class GooseFEM.Element.Hex8.Quadrature#
Bases:
pybind11_object
- AsTensor(self: GooseFEM.Element.Hex8.Quadrature, rank: int, qscalar: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- property GradN#
Shape function gradients [nelem, nip, nne, ndim]
- GradN_vector(self: GooseFEM.Element.Hex8.Quadrature, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- GradN_vector_T(self: GooseFEM.Element.Hex8.Quadrature, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_N_scalar_NT_dV(self: GooseFEM.Element.Hex8.Quadrature, qscalar: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_N_vector_dV(self: GooseFEM.Element.Hex8.Quadrature, qvector: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_gradN_dot_tensor2_dV(self: GooseFEM.Element.Hex8.Quadrature, qtensor: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- Int_gradN_dot_tensor4_dot_gradNT_dV(self: GooseFEM.Element.Hex8.Quadrature, qtensor: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- InterpQuad_vector(self: GooseFEM.Element.Hex8.Quadrature, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- SymGradN_vector(self: GooseFEM.Element.Hex8.Quadrature, elemvec: numpy.ndarray[numpy.float64]) numpy.ndarray[numpy.float64] #
- __annotations__ = {}#
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: GooseFEM.Element.Hex8.Quadrature, x: numpy.ndarray[numpy.float64]) -> None
See
GooseFEM::Element::Hex8::Quadrature
.__init__(self: GooseFEM.Element.Hex8.Quadrature, x: numpy.ndarray[numpy.float64], xi: numpy.ndarray[numpy.float64], w: numpy.ndarray[numpy.float64]) -> None
- __repr__(self: GooseFEM.Element.Hex8.Quadrature) str #
- property dV#
Integration point volume (qscalar)
- gradN_vector(self: GooseFEM.Element.Hex8.Quadrature, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- gradN_vector_T(self: GooseFEM.Element.Hex8.Quadrature, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- int_N_scalar_NT_dV(self: GooseFEM.Element.Hex8.Quadrature, qscalar: numpy.ndarray[numpy.float64], elemmat: numpy.ndarray[numpy.float64]) None #
- int_N_vector_dV(self: GooseFEM.Element.Hex8.Quadrature, qvector: numpy.ndarray[numpy.float64], elemvec: numpy.ndarray[numpy.float64]) None #
- int_gradN_dot_tensor2_dV(self: GooseFEM.Element.Hex8.Quadrature, qtensor: numpy.ndarray[numpy.float64], elemvec: numpy.ndarray[numpy.float64]) None #
- int_gradN_dot_tensor4_dot_gradNT_dV(self: GooseFEM.Element.Hex8.Quadrature, qtensor: numpy.ndarray[numpy.float64], elemmat: numpy.ndarray[numpy.float64]) None #
- interpQuad_vector(self: GooseFEM.Element.Hex8.Quadrature, elemvec: numpy.ndarray[numpy.float64], qvector: numpy.ndarray[numpy.float64]) None #
- property ndim#
Number of spatial dimensions
- property nelem#
Number of elements
- property nip#
Number of integration points per element
- property nne#
Number of nodes per element
- shape_elemmat(self: GooseFEM.Element.Hex8.Quadrature) Annotated[List[int], FixedSize(3)] #
- shape_elemvec(*args, **kwargs)#
Overloaded function.
shape_elemvec(self: GooseFEM.Element.Hex8.Quadrature) -> Annotated[List[int], FixedSize(3)]
shape_elemvec(self: GooseFEM.Element.Hex8.Quadrature, tdim: int) -> Annotated[List[int], FixedSize(3)]
- shape_qscalar(self: GooseFEM.Element.Hex8.Quadrature) Annotated[List[int], FixedSize(2)] #
- shape_qtensor(*args, **kwargs)#
Overloaded function.
shape_qtensor(self: GooseFEM.Element.Hex8.Quadrature, rank: int) -> List[int]
shape_qtensor(self: GooseFEM.Element.Hex8.Quadrature, rank: int, tdim: int) -> List[int]
- shape_qvector(*args, **kwargs)#
Overloaded function.
shape_qvector(self: GooseFEM.Element.Hex8.Quadrature) -> Annotated[List[int], FixedSize(3)]
shape_qvector(self: GooseFEM.Element.Hex8.Quadrature, tdim: int) -> Annotated[List[int], FixedSize(3)]
- symGradN_vector(self: GooseFEM.Element.Hex8.Quadrature, elemvec: numpy.ndarray[numpy.float64], qtensor: numpy.ndarray[numpy.float64]) None #
- property tdim#
Number of spatial dimensions for tensors
- update_x(self: GooseFEM.Element.Hex8.Quadrature, x: numpy.ndarray[numpy.float64]) None #
GooseFEM.Element.Hex8.Gauss#
Gauss quadrature
- GooseFEM.Element.Hex8.Gauss.nip() int #
- GooseFEM.Element.Hex8.Gauss.w() numpy.ndarray[numpy.float64] #
- GooseFEM.Element.Hex8.Gauss.xi() numpy.ndarray[numpy.float64] #
GooseFEM.Element.Hex8.Nodal#
Nodal quadrature
- GooseFEM.Element.Hex8.Nodal.nip() int #
- GooseFEM.Element.Hex8.Nodal.w() numpy.ndarray[numpy.float64] #
- GooseFEM.Element.Hex8.Nodal.xi() numpy.ndarray[numpy.float64] #
GooseFEM.Mesh#
Generic mesh routines
- class GooseFEM.Mesh.ElementType#
Bases:
pybind11_object
See
GooseFEM::Mesh::ElementType
.Members:
Unknown
Tri3
Quad4
Hex8
- Hex8 = <ElementType.Hex8: 2>#
- Quad4 = <ElementType.Quad4: 1>#
- Tri3 = <ElementType.Tri3: 3>#
- Unknown = <ElementType.Unknown: 0>#
- __annotations__ = {}#
- __eq__(self: object, other: object) bool #
- __hash__(self: object) int #
- __index__(self: GooseFEM.Mesh.ElementType) int #
- __init__(self: GooseFEM.Mesh.ElementType, value: int) None #
- __int__(self: GooseFEM.Mesh.ElementType) int #
- __ne__(self: object, other: object) bool #
- __repr__(self: object) str #
- __str__()#
name(self: handle) -> str
- property name#
- property value#
- class GooseFEM.Mesh.ManualStitch#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.ManualStitch, coor_a: numpy.ndarray[numpy.float64], conn_a: numpy.ndarray[numpy.uint64], overlapping_nodes_a: numpy.ndarray[numpy.uint64], coor_b: numpy.ndarray[numpy.float64], conn_b: numpy.ndarray[numpy.uint64], overlapping_nodes_b: numpy.ndarray[numpy.uint64], check_position: bool = True, rtol: float = 1e-05, atol: float = 1e-08) None #
- __repr__(self: GooseFEM.Mesh.ManualStitch) str #
- property conn#
- property coor#
- property dofs#
- elemmap(*args, **kwargs)#
Overloaded function.
elemmap(self: GooseFEM.Mesh.ManualStitch) -> List[numpy.ndarray[numpy.uint64]]
elemmap(self: GooseFEM.Mesh.ManualStitch, mesh_index: int) -> numpy.ndarray[numpy.uint64]
- elemset(self: GooseFEM.Mesh.ManualStitch, set: numpy.ndarray[numpy.uint64], mesh_index: int) numpy.ndarray[numpy.uint64] #
- property ndim#
- property nelem#
- property nmesh#
- property nne#
- property nnode#
- nodemap(*args, **kwargs)#
Overloaded function.
nodemap(self: GooseFEM.Mesh.ManualStitch) -> List[numpy.ndarray[numpy.uint64]]
nodemap(self: GooseFEM.Mesh.ManualStitch, mesh_index: int) -> numpy.ndarray[numpy.uint64]
- nodeset(self: GooseFEM.Mesh.ManualStitch, set: numpy.ndarray[numpy.uint64], mesh_index: int) numpy.ndarray[numpy.uint64] #
- class GooseFEM.Mesh.Renumber#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Renumber, dofs: numpy.ndarray[numpy.uint64]) None #
- __repr__(self: GooseFEM.Mesh.Renumber) str #
- apply(self: GooseFEM.Mesh.Renumber, arg0: numpy.ndarray[numpy.uint64]) numpy.ndarray[numpy.uint64] #
- property index#
- class GooseFEM.Mesh.Reorder#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: GooseFEM.Mesh.Reorder, arg0: numpy.ndarray[numpy.uint64]) -> None
__init__(self: GooseFEM.Mesh.Reorder, arg0: numpy.ndarray[numpy.uint64], arg1: numpy.ndarray[numpy.uint64]) -> None
__init__(self: GooseFEM.Mesh.Reorder, arg0: numpy.ndarray[numpy.uint64], arg1: numpy.ndarray[numpy.uint64], arg2: numpy.ndarray[numpy.uint64]) -> None
__init__(self: GooseFEM.Mesh.Reorder, arg0: numpy.ndarray[numpy.uint64], arg1: numpy.ndarray[numpy.uint64], arg2: numpy.ndarray[numpy.uint64], arg3: numpy.ndarray[numpy.uint64]) -> None
- __repr__(self: GooseFEM.Mesh.Reorder) str #
- apply(self: GooseFEM.Mesh.Reorder, arg0: numpy.ndarray[numpy.uint64]) numpy.ndarray[numpy.uint64] #
- property index#
- class GooseFEM.Mesh.Stitch#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Stitch, rtol: float = 1e-05, atol: float = 1e-08) None #
- __repr__(self: GooseFEM.Mesh.Stitch) str #
- property conn#
- property coor#
- property dofs#
- elemmap(*args, **kwargs)#
Overloaded function.
elemmap(self: GooseFEM.Mesh.Stitch) -> List[numpy.ndarray[numpy.uint64]]
elemmap(self: GooseFEM.Mesh.Stitch, mesh_index: int) -> numpy.ndarray[numpy.uint64]
- elemset(*args, **kwargs)#
Overloaded function.
elemset(self: GooseFEM.Mesh.Stitch, set: numpy.ndarray[numpy.uint64], mesh_index: int) -> numpy.ndarray[numpy.uint64]
elemset(self: GooseFEM.Mesh.Stitch, set: List[numpy.ndarray[numpy.uint64]]) -> numpy.ndarray[numpy.uint64]
- property ndim#
- property nelem#
- property nmesh#
- property nne#
- property nnode#
- nodemap(*args, **kwargs)#
Overloaded function.
nodemap(self: GooseFEM.Mesh.Stitch) -> List[numpy.ndarray[numpy.uint64]]
nodemap(self: GooseFEM.Mesh.Stitch, mesh_index: int) -> numpy.ndarray[numpy.uint64]
- nodeset(*args, **kwargs)#
Overloaded function.
nodeset(self: GooseFEM.Mesh.Stitch, set: numpy.ndarray[numpy.uint64], mesh_index: int) -> numpy.ndarray[numpy.uint64]
nodeset(self: GooseFEM.Mesh.Stitch, set: List[numpy.ndarray[numpy.uint64]]) -> numpy.ndarray[numpy.uint64]
- push_back(self: GooseFEM.Mesh.Stitch, coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64]) None #
- class GooseFEM.Mesh.Vstack#
Bases:
Stitch
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Vstack, check_overlap: bool = True, rtol: float = 1e-05, atol: float = 1e-08) None #
- __repr__(self: GooseFEM.Mesh.Vstack) str #
- push_back(self: GooseFEM.Mesh.Vstack, coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64], nodes_bottom: numpy.ndarray[numpy.uint64], nodes_top: numpy.ndarray[numpy.uint64]) None #
- GooseFEM.Mesh.center_of_gravity(*args, **kwargs)#
Overloaded function.
center_of_gravity(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64]) -> numpy.ndarray[numpy.float64]
See
GooseFEM::Mesh::center_of_gravity()
.center_of_gravity(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64], type: GooseFEM.Mesh.ElementType) -> numpy.ndarray[numpy.float64]
- GooseFEM.Mesh.centers(*args, **kwargs)#
Overloaded function.
centers(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64]) -> numpy.ndarray[numpy.float64]
See
GooseFEM::Mesh::centers()
.centers(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64], type: GooseFEM.Mesh.ElementType) -> numpy.ndarray[numpy.float64]
- GooseFEM.Mesh.coordination(conn: numpy.ndarray[numpy.uint64]) numpy.ndarray[numpy.uint64] #
- GooseFEM.Mesh.dofs(nnode: int, ndim: int) numpy.ndarray[numpy.uint64] #
- GooseFEM.Mesh.edgesize(*args, **kwargs)#
Overloaded function.
edgesize(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64]) -> numpy.ndarray[numpy.float64]
See
GooseFEM::Mesh::edgesize()
.edgesize(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64], type: GooseFEM.Mesh.ElementType) -> numpy.ndarray[numpy.float64]
- GooseFEM.Mesh.elem2node(*args, **kwargs)#
Overloaded function.
elem2node(conn: numpy.ndarray[numpy.uint64], sorted: bool = True) -> List[List[int]]
See
GooseFEM::Mesh::elem2node()
.elem2node(conn: numpy.ndarray[numpy.uint64], dofs: numpy.ndarray[numpy.uint64], sorted: bool = True) -> List[List[int]]
- GooseFEM.Mesh.elemmap2nodemap(*args, **kwargs)#
Overloaded function.
elemmap2nodemap(elem_map: numpy.ndarray[numpy.uint64], coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64]) -> numpy.ndarray[numpy.uint64]
See
GooseFEM::Mesh::elemmap2nodemap()
.elemmap2nodemap(elem_map: numpy.ndarray[numpy.uint64], coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64], type: GooseFEM.Mesh.ElementType) -> numpy.ndarray[numpy.uint64]
- GooseFEM.Mesh.nodal_mass(*args, **kwargs)#
Overloaded function.
nodal_mass(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64]) -> numpy.ndarray[numpy.float64]
See
GooseFEM::Mesh::nodal_mass()
.nodal_mass(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64], type: GooseFEM.Mesh.ElementType) -> numpy.ndarray[numpy.float64]
- GooseFEM.Mesh.nodaltyings(dofs: numpy.ndarray[numpy.uint64]) List[List[int]] #
- GooseFEM.Mesh.node2dof(dofs: numpy.ndarray[numpy.uint64], sorted: bool = True) List[List[int]] #
- GooseFEM.Mesh.overlapping(coor_a: numpy.ndarray[numpy.float64], coor_b: numpy.ndarray[numpy.float64], rtol: float = 1e-05, atol: float = 1e-08) numpy.ndarray[numpy.uint64] #
- GooseFEM.Mesh.renumber(dofs: numpy.ndarray[numpy.uint64]) numpy.ndarray[numpy.uint64] #
GooseFEM.Mesh.Tri3#
Linear triangular elements (2D)
- class GooseFEM.Mesh.Tri3.Regular#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Tri3.Regular, nx: int, ny: int, h: float = 1.0) None #
- __repr__(self: GooseFEM.Mesh.Tri3.Regular) str #
- property conn#
- property coor#
- property dofs#
- property dofsPeriodic#
- property elementType#
- property h#
- property ndim#
- property nelem#
- property nelx#
- property nely#
- property nne#
- property nnode#
- property nodesBottomEdge#
- property nodesBottomLeftCorner#
- property nodesBottomOpenEdge#
- property nodesBottomRightCorner#
- property nodesLeftBottomCorner#
- property nodesLeftEdge#
- property nodesLeftOpenEdge#
- property nodesLeftTopCorner#
- property nodesOrigin#
- property nodesPeriodic#
- property nodesRightBottomCorner#
- property nodesRightEdge#
- property nodesRightOpenEdge#
- property nodesRightTopCorner#
- property nodesTopEdge#
- property nodesTopLeftCorner#
- property nodesTopOpenEdge#
- property nodesTopRightCorner#
- GooseFEM.Mesh.Tri3.getOrientation(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64]) numpy.ndarray[numpy.int32] #
- GooseFEM.Mesh.Tri3.setOrientation(*args, **kwargs)#
Overloaded function.
setOrientation(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64], orientation: int) -> numpy.ndarray[numpy.uint64]
See
GooseFEM::Mesh::Tri3::setOrientation()
.setOrientation(coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64], val: numpy.ndarray[numpy.int32], orientation: int) -> numpy.ndarray[numpy.uint64]
GooseFEM.Mesh.Quad4#
Linear quadrilateral elements (2D)
- class GooseFEM.Mesh.Quad4.FineLayer#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: GooseFEM.Mesh.Quad4.FineLayer, nx: int, ny: int, h: float = 1.0, nfine: int = 1) -> None
See
GooseFEM::Mesh::Quad4::FineLayer
.__init__(self: GooseFEM.Mesh.Quad4.FineLayer, coor: numpy.ndarray[numpy.float64], conn: numpy.ndarray[numpy.uint64]) -> None
- __repr__(self: GooseFEM.Mesh.Quad4.FineLayer) str #
- property conn#
- property coor#
- property dofs#
- property dofsPeriodic#
- property elementType#
- elementgrid_around_ravel(self: GooseFEM.Mesh.Quad4.FineLayer, element: int, size: int, periodic: bool = True) numpy.ndarray[numpy.uint64] #
- elementgrid_leftright(self: GooseFEM.Mesh.Quad4.FineLayer, element: int, left: int, right: int, periodic: bool = True) numpy.ndarray[numpy.uint64] #
- elementgrid_ravel(self: GooseFEM.Mesh.Quad4.FineLayer, rows_range: List[int], cols_range: List[int]) numpy.ndarray[numpy.uint64] #
- elementsLayer(self: GooseFEM.Mesh.Quad4.FineLayer, layer: int) numpy.ndarray[numpy.uint64] #
- property elementsMiddleLayer#
- property elemrow_nelem#
- property elemrow_nhx#
- property elemrow_nhy#
- property elemrow_type#
- property h#
- property ndim#
- property nelem#
- property nelx#
- property nely#
- property nne#
- property nnode#
- property nodesBottomEdge#
- property nodesBottomLeftCorner#
- property nodesBottomOpenEdge#
- property nodesBottomRightCorner#
- property nodesLeftBottomCorner#
- property nodesLeftEdge#
- property nodesLeftOpenEdge#
- property nodesLeftTopCorner#
- property nodesOrigin#
- property nodesPeriodic#
- property nodesRightBottomCorner#
- property nodesRightEdge#
- property nodesRightOpenEdge#
- property nodesRightTopCorner#
- property nodesTopEdge#
- property nodesTopLeftCorner#
- property nodesTopOpenEdge#
- property nodesTopRightCorner#
- roll(self: GooseFEM.Mesh.Quad4.FineLayer, arg0: int) numpy.ndarray[numpy.uint64] #
- class GooseFEM.Mesh.Quad4.Regular#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Quad4.Regular, nx: int, ny: int, h: float = 1.0) None #
- __repr__(self: GooseFEM.Mesh.Quad4.Regular) str #
- property conn#
- property coor#
- property dofs#
- property dofsPeriodic#
- property elementType#
- property elementgrid#
- property h#
- property ndim#
- property nelem#
- property nelx#
- property nely#
- property nne#
- property nnode#
- property nodesBottomEdge#
- property nodesBottomLeftCorner#
- property nodesBottomOpenEdge#
- property nodesBottomRightCorner#
- property nodesLeftBottomCorner#
- property nodesLeftEdge#
- property nodesLeftOpenEdge#
- property nodesLeftTopCorner#
- property nodesOrigin#
- property nodesPeriodic#
- property nodesRightBottomCorner#
- property nodesRightEdge#
- property nodesRightOpenEdge#
- property nodesRightTopCorner#
- property nodesTopEdge#
- property nodesTopLeftCorner#
- property nodesTopOpenEdge#
- property nodesTopRightCorner#
GooseFEM.Mesh.Quad4.Map#
Map mesh objects
- class GooseFEM.Mesh.Quad4.Map.FineLayer2Regular#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Quad4.Map.FineLayer2Regular, mesh: GooseFEM.Mesh.Quad4.FineLayer) None #
- __repr__(self: GooseFEM.Mesh.Quad4.Map.FineLayer2Regular) str #
- property fineLayerMesh#
- property map#
- property mapFraction#
- mapToRegular(*args, **kwargs)#
Overloaded function.
mapToRegular(self: GooseFEM.Mesh.Quad4.Map.FineLayer2Regular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
mapToRegular(self: GooseFEM.Mesh.Quad4.Map.FineLayer2Regular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
mapToRegular(self: GooseFEM.Mesh.Quad4.Map.FineLayer2Regular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
mapToRegular(self: GooseFEM.Mesh.Quad4.Map.FineLayer2Regular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
- property regularMesh#
- class GooseFEM.Mesh.Quad4.Map.RefineRegular#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, mesh: GooseFEM.Mesh.Quad4.Regular, nx: int, ny: int) None #
- __repr__(self: GooseFEM.Mesh.Quad4.Map.RefineRegular) str #
- averageToCoarse(*args, **kwargs)#
Overloaded function.
averageToCoarse(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64], arg1: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
averageToCoarse(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64], arg1: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
averageToCoarse(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64], arg1: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
averageToCoarse(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64], arg1: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
- property coarseMesh#
- property fineMesh#
- property map#
- mapToFine(*args, **kwargs)#
Overloaded function.
mapToFine(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
mapToFine(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
mapToFine(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
mapToFine(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
- meanToCoarse(*args, **kwargs)#
Overloaded function.
meanToCoarse(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
meanToCoarse(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
meanToCoarse(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
meanToCoarse(self: GooseFEM.Mesh.Quad4.Map.RefineRegular, arg0: numpy.ndarray[numpy.float64]) -> numpy.ndarray[numpy.float64]
GooseFEM.Mesh.Hex8#
Linear hexahedron (brick) elements (3D)
- class GooseFEM.Mesh.Hex8.FineLayer#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Hex8.FineLayer, nx: int, ny: int, nz: int, h: float = 1.0, nfine: int = 1) None #
- __repr__(self: GooseFEM.Mesh.Hex8.FineLayer) str #
- elementsMiddleLayer(self: GooseFEM.Mesh.Hex8.FineLayer) numpy.ndarray[numpy.uint64] #
- class GooseFEM.Mesh.Hex8.Regular#
Bases:
pybind11_object
- __annotations__ = {}#
- __init__(self: GooseFEM.Mesh.Hex8.Regular, nx: int, ny: int, nz: int, h: float = 1.0) None #
- __repr__(self: GooseFEM.Mesh.Hex8.Regular) str #
- property conn#
- property coor#
- property dofs#
- property dofsPeriodic#
- property elementType#
- property h#
- property ndim#
- property nelem#
- property nelx#
- property nely#
- property nne#
- property nnode#
- property nodesBack#
- property nodesBackBottomEdge#
- property nodesBackBottomLeftCorner#
- property nodesBackBottomOpenEdge#
- property nodesBackBottomRightCorner#
- property nodesBackFace#
- property nodesBackLeftBottomCorner#
- property nodesBackLeftEdge#
- property nodesBackLeftOpenEdge#
- property nodesBackLeftTopCorner#
- property nodesBackRightBottomCorner#
- property nodesBackRightEdge#
- property nodesBackRightOpenEdge#
- property nodesBackRightTopCorner#
- property nodesBackTopEdge#
- property nodesBackTopLeftCorner#
- property nodesBackTopOpenEdge#
- property nodesBackTopRightCorner#
- property nodesBottom#
- property nodesBottomBackEdge#
- property nodesBottomBackLeftCorner#
- property nodesBottomBackOpenEdge#
- property nodesBottomBackRightCorner#
- property nodesBottomFace#
- property nodesBottomFrontEdge#
- property nodesBottomFrontLeftCorner#
- property nodesBottomFrontOpenEdge#
- property nodesBottomFrontRightCorner#
- property nodesBottomLeftBackCorner#
- property nodesBottomLeftEdge#
- property nodesBottomLeftFrontCorner#
- property nodesBottomLeftOpenEdge#
- property nodesBottomRightBackCorner#
- property nodesBottomRightEdge#
- property nodesBottomRightFrontCorner#
- property nodesBottomRightOpenEdge#
- property nodesFront#
- property nodesFrontBottomEdge#
- property nodesFrontBottomLeftCorner#
- property nodesFrontBottomOpenEdge#
- property nodesFrontBottomRightCorner#
- property nodesFrontFace#
- property nodesFrontLeftBottomCorner#
- property nodesFrontLeftEdge#
- property nodesFrontLeftOpenEdge#
- property nodesFrontLeftTopCorner#
- property nodesFrontRightBottomCorner#
- property nodesFrontRightEdge#
- property nodesFrontRightOpenEdge#
- property nodesFrontRightTopCorner#
- property nodesFrontTopEdge#
- property nodesFrontTopLeftCorner#
- property nodesFrontTopOpenEdge#
- property nodesFrontTopRightCorner#
- property nodesLeft#
- property nodesLeftBackBottomCorner#
- property nodesLeftBackEdge#
- property nodesLeftBackOpenEdge#
- property nodesLeftBackTopCorner#
- property nodesLeftBottomBackCorner#
- property nodesLeftBottomEdge#
- property nodesLeftBottomFrontCorner#
- property nodesLeftBottomOpenEdge#
- property nodesLeftFace#
- property nodesLeftFrontBottomCorner#
- property nodesLeftFrontEdge#
- property nodesLeftFrontOpenEdge#
- property nodesLeftFrontTopCorner#
- property nodesLeftTopBackCorner#
- property nodesLeftTopEdge#
- property nodesLeftTopFrontCorner#
- property nodesLeftTopOpenEdge#
- property nodesOrigin#
- property nodesPeriodic#
- property nodesRight#
- property nodesRightBackBottomCorner#
- property nodesRightBackEdge#
- property nodesRightBackOpenEdge#
- property nodesRightBackTopCorner#
- property nodesRightBottomBackCorner#
- property nodesRightBottomEdge#
- property nodesRightBottomFrontCorner#
- property nodesRightBottomOpenEdge#
- property nodesRightFace#
- property nodesRightFrontBottomCorner#
- property nodesRightFrontEdge#
- property nodesRightFrontOpenEdge#
- property nodesRightFrontTopCorner#
- property nodesRightTopBackCorner#
- property nodesRightTopEdge#
- property nodesRightTopFrontCorner#
- property nodesRightTopOpenEdge#
- property nodesTop#
- property nodesTopBackEdge#
- property nodesTopBackLeftCorner#
- property nodesTopBackOpenEdge#
- property nodesTopBackRightCorner#
- property nodesTopFace#
- property nodesTopFrontEdge#
- property nodesTopFrontLeftCorner#
- property nodesTopFrontOpenEdge#
- property nodesTopFrontRightCorner#
- property nodesTopLeftBackCorner#
- property nodesTopLeftEdge#
- property nodesTopLeftFrontCorner#
- property nodesTopLeftOpenEdge#
- property nodesTopRightBackCorner#
- property nodesTopRightEdge#
- property nodesTopRightFrontCorner#
- property nodesTopRightOpenEdge#