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JuliaFEM.jl/src/elements/elements.jl
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/FEMBase.jl/blob/master/LICENSE
# ============================================================================
# Type-Level DOF Count Computation
# ============================================================================
"""
ndofs(::Type{K}, ::Type{S}) → Int
Compute total number of DOFs for field spec S on topology K.
# Example
```julia
S = @DOFSet{u::DOF{Displacement{3}, Vertex}}
ndofs(Tetrahedron{4}, S) # → 12 (4 nodes × 3 components)
```
"""
@generated function ndofs(::Type{K}, ::Type{S}) where {K, S}
field_names = fieldnames(S)
total = 0
for fname in field_names
field_spec = fieldtype(S, fname) # Tuple{Displacement{3}, Vertex}
field_type = field_spec.parameters[1] # Displacement{3}
entity_type = field_spec.parameters[2] # Vertex
# Extract quantity type via trait
Q = quantity_type(field_spec) # Vec{3}
# Count entities
n_entities = if entity_type === Vertex
nnodes(K())
elseif entity_type === Edge
nedges(K())
elseif entity_type === Face
nfaces(K())
else
error("Unsupported entity type: $entity_type")
end
# Count components per entity
n_components = if Q === Float64
1
elseif Q isa UnionAll && Q.body <: Tensor && Q.body.parameters[1] == 1
Q.body.parameters[2]
else
error("Unsupported quantity type: $Q")
end
total += n_entities * n_components
end
return total
end
"""
AbstractElement{K, P, S, N}
Abstract supertype for finite elements following Ciarlet's triple (K, P, Σ).
# Type Parameters
- `K <: AbstractTopology`: Reference domain
- `P <: AbstractBasis`: Polynomial space
- `S`: Field specification (determines Σ functionals)
- `N::Int`: Total number of DOFs (inferred from S and K)
See `src/elements/README.md` for complete documentation.
"""
abstract type AbstractElement{K<:AbstractTopology, P<:AbstractBasis, S<:DOFSet, N} end
"""
Element{K, P, S, N}
Finite element implementing Ciarlet's triple (K, P, Σ).
# Type Parameters
- `K`: Topology (Triangle{3}, Tetrahedron{4}, ...)
- `P`: Basis (Lagrange{1}, Lagrange{2}, ...)
- `S`: Field spec with quantity types and entity locations
- `N::Int`: Total DOF count (automatically inferred from S and K)
# Fields
- `id::UInt`: Element identifier
- `dof_indices::NTuple{N,UInt64}`: Flat tuple of global DOF indices
# Examples
```julia
# Single field: 3D displacement (12 DOFs = 4 nodes × 3 components)
S = @DOFSet{u::DOF{Displacement{3}, Vertex}}
Element{Tetrahedron{4}, Lagrange{1}, S}(UInt(1), (1,2,3,4,5,6,7,8,9,10,11,12))
# Multi-field: Thermo-mechanical (16 DOFs = 4 T + 12 u)
S = @DOFSet{T::DOF{Temperature,Vertex}, u::DOF{Displacement{3},Vertex}}
Element{Tetrahedron{4}, Lagrange{1}, S}(UInt(1), (1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16))
```
See `src/elements/README.md` for comprehensive documentation.
"""
struct Element{K<:AbstractTopology, P<:AbstractBasis, S<:DOFSet, N} <: AbstractElement{K,P,S,N}
id::UInt
dof_indices::NTuple{N,UInt64}
# Inner constructor validates N matches spec
function Element{K,P,S,N}(id::UInt, dof_indices::NTuple{N,UInt64}) where {K,P,S,N}
expected = ndofs(K, S)
if N != expected
error("Element{$K,$P,$S,$N}: Expected $expected DOFs (from spec), got $N")
end
return new{K,P,S,N}(id, dof_indices)
end
end
# Outer constructor infers N from tuple length
function Element{K,P,S}(id::UInt, dof_indices::NTuple{N,UInt64}) where {K,P,S,N}
return Element{K,P,S,N}(id, dof_indices)
end
# Convenience constructor from varargs or vector
function Element{K,P,S}(id::UInt, dof_indices::UInt64...) where {K,P,S}
return Element{K,P,S}(id, dof_indices)
end
function Element{K,P,S}(id::UInt, dof_indices::AbstractVector{<:Integer}) where {K,P,S}
return Element{K,P,S}(id, tuple((UInt64(i) for i in dof_indices)...))
end
# ============================================================================
# Type-Level Queries
# ============================================================================
"""
topology_type(::Element{K,P,S,N}) → Type{K}
Extract topology type K from element.
"""
topology_type(::Element{K,P,S,N}) where {K,P,S,N} = K
topology_type(::Type{Element{K,P,S,N}}) where {K,P,S,N} = K
"""
basis_type(::Element{K,P,S,N}) → Type{P}
Extract basis type P from element.
"""
basis_type(::Element{K,P,S,N}) where {K,P,S,N} = P
basis_type(::Type{Element{K,P,S,N}}) where {K,P,S,N} = P
"""
dof_type(::Element{K,P,S,N}) → Type{S}
Extract DOF specification type S from element.
"""
dof_type(::Element{K,P,S,N}) where {K,P,S,N} = S
dof_type(::Type{Element{K,P,S,N}}) where {K,P,S,N} = S
# ============================================================================
# Local-Global DOF Mapping for Coupled Assembly
# ============================================================================
"""
local_dof_count(elem::Element) → Int
Total number of local DOFs for this element (sum over all fields).
"""
@inline function local_dof_count(elem::Element{K,P,S,N}) where {K,P,S,N}
return N # Now directly available as type parameter!
end
"""
global_dof_indices(elem::Element) → Vector{UInt64}
Flattened vector of global DOF indices for this element.
See `src/elements/README.md` for assembly patterns.
"""
function global_dof_indices(elem::Element)
return collect(elem.dof_indices) # NTuple → Vector
end
"""
local_to_global_map(elem::Element) → NTuple{N,UInt64}
Mapping from local DOF index to global DOF index.
`global_dof = map[local_dof]` where `local_dof ∈ 1:N`.
Returns tuple (not Vector) for type stability and compiler optimization.
Used for coupled assembly. See `src/elements/README.md`.
"""
@inline function local_to_global_map(elem::Element{K,P,S,N}) where {K,P,S,N}
return elem.dof_indices # Already flat!
end
# ============================================================================
# Compile-Time Helper Functions for @generated field_dof_range
# ============================================================================
# Helper: Compute ndofs at compile time
function _compile_time_ndofs(@nospecialize(field_type), @nospecialize(topology_type))
# Handle DOF{FieldType, EntityType} format (new format)
if field_type isa DataType && field_type <: DOF && length(field_type.parameters) == 2
FieldType = field_type.parameters[1] # e.g., Displacement{3}
E = field_type.parameters[2] # e.g., Vertex
# Extract quantity type via trait (handles Displacement{3} → Vec{3})
Q = quantity_type(field_type)
# Number of DOFs = dof_per_entity * number_of_entities
return _dof_per_entity(Q) * _count_entities_compiletime(topology_type, E)
# Handle Tuple{FieldType, E} format (legacy format)
elseif field_type isa DataType && field_type <: Tuple && length(field_type.parameters) == 2
FieldType = field_type.parameters[1] # Could be Displacement{3} or Vec{3}
E = field_type.parameters[2]
# Extract quantity type via trait (handles both field types and quantity types)
Q = quantity_type(field_type)
# Number of DOFs = dof_per_entity * number_of_entities
return _dof_per_entity(Q) * _count_entities_compiletime(topology_type, E)
else
error("Cannot compute ndofs for field type $field_type (expected DOF{...} or Tuple{...})")
end
end
function _dof_per_entity(@nospecialize(Q))
# Use dof_size which handles all quantity types properly (Displacement{3}, Vec{3}, Float64, UnionAll, etc.)
# This is the most robust approach
try
return dof_size(Q)
catch e
# Fallback for specific cases if dof_size fails
if Q === Float64
return 1
else
error("Cannot determine dof_size for quantity type $Q: $e")
end
end
end
function _count_entities_compiletime(@nospecialize(K), @nospecialize(E))
# This must match count_entities(topology, entity_type) at runtime
# K is a TYPE (e.g., Tet4), not an instance
if E === Vertex
return nnodes(K) # nnodes accepts Type
elseif E === Edge
return nedges(K) # nedges accepts Type
elseif E === Face
return nfaces(K) # nfaces accepts Type
elseif E === Cell
return 1 # One cell per element
else
error("Unknown entity type $E")
end
end
# ============================================================================
# Local DOF Range Computation (COMPILE-TIME via @generated)
# ============================================================================
"""
field_dof_range(elem::Element, field::Symbol) → UnitRange{Int}
Local DOF range for a specific field. Computed at compile time via @generated.
See `src/elements/README.md` for usage examples.
"""
@generated function field_dof_range(::Element{K,P,S,N}, field::Symbol) where {K,P,S,N}
# This runs at COMPILE TIME!
# S is the NamedTuple type containing field specifications
if S <: NamedTuple
# Multi-field case
field_types = S.parameters[2] # Tuple of field types
field_names = fieldnames(S)
# Compute offset for each field at compile time
offset = 0
field_ranges = Expr(:block)
for (i, fname) in enumerate(field_names)
ftype = field_types.parameters[i]
n = _compile_time_ndofs(ftype, K)
range_expr = :($offset+1:$offset+$n)
# Generate: if field === :fname return range_expr end
push!(field_ranges.args, quote
if field === $(QuoteNode(fname))
return $range_expr
end
end)
offset += n
end
# Add error case
push!(field_ranges.args, :(error("Field ", field, " not found in element type $S")))
return field_ranges
else
# Single-field case (S <: AbstractDOF)
n = _compile_time_ndofs(S, K)
return :(return 1:$n)
end
end
# ============================================================================
# Local-to-Global Mapping (Type-Stable Tuple Version)
# ============================================================================
# ============================================================================
# Type Extraction (previously defined above)
# ============================================================================
# These were defined earlier but are here for reference
# topology_type, basis_type, dof_type already defined above
# ============================================================================
# Element Queries
# ============================================================================
"""
element_id(elem::Element) → UInt
Get element ID (index in mesh).
"""
element_id(elem::Element) = elem.id
"""
element_dofs(elem::Element) → NTuple{N,UInt64}
Get all global DOF indices as flat tuple.
"""
element_dofs(elem::Element) = elem.dof_indices
"""
element_dofs(elem::Element, field::Symbol) → Tuple
Get global DOF indices for specific field by extracting from flat tuple.
# Example
```julia
element_dofs(elem, :T) # Extracts T indices from flat tuple
element_dofs(elem, :u) # Extracts u indices from flat tuple
```
"""
function element_dofs(elem::Element{K,P,S,N}, field::Symbol) where {K,P,S,N}
range = field_dof_range(elem, field)
return elem.dof_indices[range]
end
"""
n_element_dofs(elem::Element) → Int
Get total number of DOFs for this element (all fields).
"""
n_element_dofs(elem::Element{K,P,S,N}) where {K,P,S,N} = N
"""
nnodes(::Element{K,P,S,N}) → Int
Get number of nodes from topology.
"""
nnodes(::Element{K,P,S,N}) where {K,P,S,N} = nnodes(K)
nnodes(::Type{Element{K,P,S,N}}) where {K,P,S,N} = nnodes(K)
# ============================================================================
# Display
# ============================================================================
function Base.show(io::IO, elem::Element{K,P,S,N}) where {K,P,S,N}
print(io, "Element{$K, $P, $S}(id=$(elem.id), ndofs=$N)")
end