Files
JuliaFEM.jl/src/elements/interpolate.jl
T
Jukka Aho dd50aa3f4c feat(elements): add field interpolation at quadrature points
New 527-line field interpolation system:
- interpolate_fields(): interpolate all fields and gradients at reference point
- interpolate_field(): interpolate single field
- interpolate_field_value(): interpolate field value only
- Supports scalar and vector fields with gradients
- Zero-allocation @generated function for type stability
- Returns NamedTuple with field values and gradients
- Already integrated in JuliaFEM.jl (line 354)

Provides comprehensive field interpolation for material evaluation at integration points.
2025-12-15 06:17:05 +02:00

528 lines
18 KiB
Julia

# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
"""
Field interpolation at quadrature points.
Given element DOFs and a point in reference coordinates, interpolate field values
and gradients. Returns a NamedTuple with interpolated quantities.
See `src/elements/README.md` for usage examples.
"""
using Tensors
"""
interpolate_fields(elem::Element{K,P,S,N}, u_global::AbstractVector, ξ::Vec) → NamedTuple
Interpolate all fields and their gradients at reference point ξ.
Returns NamedTuple with field values and gradients:
- Scalar fields: `field => value::Float64, ∇field => gradient::Vec`
- Vector fields: `field => value::Vec, ∇field => gradient::Tensor{2}`
# Arguments
- `elem`: Element with field specification S
- `u_global`: Global solution vector
- `ξ`: Point in reference coordinates (e.g., `Vec((0.5, 0.5))` for 2D)
# Example
```julia
S = @DOFSet{T::DOF{Temperature,Vertex}, u::DOF{Displacement{3},Vertex}}
elem = Element{Tetrahedron{4}, Lagrange{1}, S}(UInt(1), (1,2,3,4,5,...,16))
u_global = rand(100)
# Interpolate at reference center
ξ = Vec((0.25, 0.25, 0.25))
vals = interpolate_fields(elem, u_global, ξ)
# vals = (T = 2.5, ∇T = Vec{3}(...), u = Vec{3}(...), ∇u = Tensor{2,3}(...))
```
# Performance
Zero-allocation @generated function. All field access and basis evaluation
happens at compile time.
"""
@generated function interpolate_fields(
elem::Element{K,P,S,N},
u_global::AbstractVector,
ξ::Vec
) where {K,P,S<:DOFSet,N}
field_names = fieldnames(S)
topology = K()
basis = P()
n_nodes = nnodes(topology)
# Build expressions for each field interpolation
field_exprs = Expr[]
offset = 0 # Track position in flat dof_indices tuple
for fname in field_names
field_spec = fieldtype(S, fname)
field_type = field_spec.parameters[1] # Displacement{3}
entity_type = field_spec.parameters[2]
# Extract quantity type via trait
Q = quantity_type(field_spec) # Vec{3} or Float64
if entity_type === Vertex
# Standard nodal basis
if Q === Float64
# Scalar field interpolation
# value = ∑ Nᵢ(ξ) * uᵢ
# gradient = ∑ ∇Nᵢ(ξ) * uᵢ
value_terms = Expr[]
grad_terms = Expr[]
for i in 1:n_nodes
push!(value_terms, :(Nvals[$i] * u_global[elem.dof_indices[$(offset+i)]]))
push!(grad_terms, :(dN[$i] * u_global[elem.dof_indices[$(offset+i)]]))
end
value_expr = Expr(:call, :+, value_terms...)
grad_expr = Expr(:call, :+, grad_terms...)
# Add field value and gradient
push!(field_exprs, Expr(:(=), fname, value_expr))
push!(field_exprs, Expr(:(=), Symbol("", fname), grad_expr))
offset += n_nodes
elseif Q isa UnionAll && Q.body <: Tensor && Q.body.parameters[1] == 1
# Vector field interpolation
# value = ∑ Nᵢ(ξ) * uᵢ (each uᵢ is a Vec)
# gradient = ∑ ∇Nᵢ(ξ) ⊗ uᵢ (tensor product)
vec_dim = Q.body.parameters[2]
value_terms = Expr[]
grad_terms = Expr[]
for node in 0:(n_nodes-1)
# Extract vector components for this node from flat tuple
vec_comps = [:(u_global[elem.dof_indices[$(offset+node*vec_dim+comp)]]) for comp in 1:vec_dim]
u_node = :(Vec{$vec_dim}($(Expr(:tuple, vec_comps...))))
node_idx = node + 1
# value += N_i * u_i
push!(value_terms, :(Nvals[$node_idx] * $u_node))
# gradient += ∇N_i ⊗ u_i
push!(grad_terms, :(dN[$node_idx] $u_node))
end
value_expr = Expr(:call, :+, value_terms...)
grad_expr = Expr(:call, :+, grad_terms...)
# Add field value and gradient
push!(field_exprs, Expr(:(=), fname, value_expr))
push!(field_exprs, Expr(:(=), Symbol("", fname), grad_expr))
offset += n_nodes * vec_dim
else
error("Unsupported quantity type: $Q")
end
else
error("Unsupported entity type: $entity_type (only Vertex supported for now)")
end
end
# Build complete function body
# 1. Evaluate basis functions and derivatives
# 2. Compute all interpolations
# 3. Return NamedTuple
nt_expr = Expr(:tuple, field_exprs...)
return quote
@inbounds begin
# Evaluate basis functions once
Nvals = get_basis_functions($topology, $basis, ξ)
dN = get_basis_derivatives($topology, $basis, ξ)
# Return interpolated values
return $nt_expr
end
end
end
"""
interpolate_field(elem::Element{K,P,S,N}, u_global::AbstractVector, field::Symbol, ξ::Vec) → Tuple{value, gradient}
Interpolate a single field and its gradient at reference point ξ.
More efficient than `interpolate_fields` when you only need one field.
# Returns
- For scalar fields: `(value::Float64, gradient::Vec)`
- For vector fields: `(value::Vec, gradient::Tensor{2})`
# Example
```julia
val, grad = interpolate_field(elem, u_global, :T, Vec((0.25, 0.25, 0.25)))
# val::Float64, grad::Vec{3}
```
"""
@generated function interpolate_field(
elem::Element{K,P,S,N},
u_global::AbstractVector,
field::Symbol,
ξ::Vec
) where {K,P,S<:DOFSet,N}
field_names = fieldnames(S)
topology = K()
basis = P()
n_nodes = nnodes(topology)
# Generate separate branches for each field
branches = Expr[]
offset = 0
for fname in field_names
field_spec = fieldtype(S, fname)
field_type = field_spec.parameters[1] # Displacement{3}
entity_type = field_spec.parameters[2]
# Extract quantity type via trait
Q = quantity_type(field_spec) # Vec{3} or Float64
if entity_type === Vertex
if Q === Float64
# Scalar field
value_terms = Expr[]
grad_terms = Expr[]
for i in 1:n_nodes
push!(value_terms, :(Nvals[$i] * u_global[elem.dof_indices[$(offset+i)]]))
push!(grad_terms, :(dN[$i] * u_global[elem.dof_indices[$(offset+i)]]))
end
value_expr = Expr(:call, :+, value_terms...)
grad_expr = Expr(:call, :+, grad_terms...)
push!(branches, quote
if field === $(QuoteNode(fname))
value = $value_expr
grad = $grad_expr
return (value, grad)
end
end)
offset += n_nodes
elseif Q isa UnionAll && Q.body <: Tensor && Q.body.parameters[1] == 1
# Vector field
vec_dim = Q.body.parameters[2]
value_terms = Expr[]
grad_terms = Expr[]
for node in 0:(n_nodes-1)
vec_comps = [:(u_global[elem.dof_indices[$(offset+node*vec_dim+comp)]]) for comp in 1:vec_dim]
u_node = :(Vec{$vec_dim}($(Expr(:tuple, vec_comps...))))
node_idx = node + 1
push!(value_terms, :(Nvals[$node_idx] * $u_node))
push!(grad_terms, :(dN[$node_idx] $u_node))
end
value_expr = Expr(:call, :+, value_terms...)
grad_expr = Expr(:call, :+, grad_terms...)
push!(branches, quote
if field === $(QuoteNode(fname))
value = $value_expr
grad = $grad_expr
return (value, grad)
end
end)
offset += n_nodes * vec_dim
end
end
end
# Add error case
push!(branches, :(error("Field ", field, " not found in element type $S")))
# Build complete function
return quote
@inbounds begin
Nvals = get_basis_functions($topology, $basis, ξ)
dN = get_basis_derivatives($topology, $basis, ξ)
$(branches...)
end
end
end
"""
interpolate_field_value(elem::Element{K,P,S,D}, u_global::AbstractVector, field::Symbol, ξ::Vec) → value
Interpolate only field value (no gradient) at reference point ξ.
Most efficient when gradient is not needed.
# Example
```julia
T_val = interpolate_field_value(elem, u_global, :T, ξ)
u_val = interpolate_field_value(elem, u_global, :u, ξ) # Returns Vec{3}
```
"""
@generated function interpolate_field_value(
elem::Element{K,P,S,N},
u_global::AbstractVector,
field::Symbol,
ξ::Vec
) where {K,P,S<:DOFSet,N}
field_names = fieldnames(S)
topology = K()
basis = P()
n_nodes = nnodes(topology)
branches = Expr[]
offset = 0
for fname in field_names
field_spec = fieldtype(S, fname)
field_type = field_spec.parameters[1] # Displacement{3}
entity_type = field_spec.parameters[2]
# Extract quantity type via trait
Q = quantity_type(field_spec) # Vec{3} or Float64
if entity_type === Vertex
if Q === Float64
value_terms = Expr[]
for i in 1:n_nodes
push!(value_terms, :(Nvals[$i] * u_global[elem.dof_indices[$(offset+i)]]))
end
value_expr = Expr(:call, :+, value_terms...)
push!(branches, quote
if field === $(QuoteNode(fname))
return $value_expr
end
end)
offset += n_nodes
elseif quantity_type isa UnionAll && quantity_type.body <: Tensor && quantity_type.body.parameters[1] == 1
vec_dim = quantity_type.body.parameters[2]
value_terms = Expr[]
for node in 0:(n_nodes-1)
vec_comps = [:(u_global[elem.dof_indices[$(offset+node*vec_dim+comp)]]) for comp in 1:vec_dim]
u_node = :(Vec{$vec_dim}($(Expr(:tuple, vec_comps...))))
node_idx = node + 1
push!(value_terms, :(Nvals[$node_idx] * $u_node))
end
value_expr = Expr(:call, :+, value_terms...)
push!(branches, quote
if field === $(QuoteNode(fname))
return $value_expr
end
end)
offset += n_nodes * vec_dim
end
end
end
push!(branches, :(error("Field ", field, " not found in element type $S")))
return quote
@inbounds begin
Nvals = get_basis_functions($topology, $basis, ξ)
$(branches...)
end
end
end
"""
interpolate_local_fields(
elem::Element{K,P,S,N},
u_global::AbstractVector,
u_old::AbstractVector,
u_rate::AbstractVector,
Δt::Float64,
ξ::Vec
) → NamedTuple of LocalField
Interpolate all fields as LocalField structures at reference point ξ.
Returns a NamedTuple where each field is a LocalField containing:
- `value`: Current field value
- `gradient`: Current field gradient
- `rate`: Time derivative (from u_rate for dynamic, zero for quasi-static)
- `gradient_rate`: Time derivative of gradient (computed from increments)
# Arguments
- `elem`: Element with field specification S
- `u_global`: Current solution vector
- `u_old`: Previous time step solution vector
- `u_rate`: Rate DOFs (velocity for dynamic, zeros for quasi-static)
- `Δt`: Time step size
- `ξ`: Point in reference coordinates
# Unified Dynamic/Quasi-Static Treatment
**Quasi-static:**
```julia
local_fields = interpolate_local_fields(elem, u_new, u_old, zero(u_new), Δt, ξ)
# rate = 0, but gradient_rate computed from (∇u_new - ∇u_old)/Δt
```
**Dynamic:**
```julia
local_fields = interpolate_local_fields(elem, u_new, u_old, u_rate, Δt, ξ)
# rate = u̇, gradient_rate from increments (more accurate than ∇(u̇))
```
# Example
```julia
S = @DOFSet{u::DOF{Displacement{3},Vertex}}
elem = Element{Tetrahedron, Lagrange{Tetrahedron,1}, S}(...)
# Quasi-static loading
u_new = [...] # Current configuration
u_old = [...] # Previous load step
Δt = 1.0
ξ = Vec((0.25, 0.25, 0.25))
local_fields = interpolate_local_fields(elem, u_new, u_old, zero(u_new), Δt, ξ)
# → (u = LocalField(u_val, ∇u, zero(Vec{3}), ∇u_rate), ...)
# Extract strain for material evaluation
ε = extract_strain(local_fields.u.gradient)
ε̇ = extract_strain_rate(local_fields.u.gradient_rate)
```
# Performance
Zero-allocation @generated function. All field access happens at compile time.
"""
@generated function interpolate_local_fields(
elem::Element{K,P,S,N},
u_global::AbstractVector,
u_old::AbstractVector,
u_rate::AbstractVector,
Δt::Float64,
ξ::Vec
) where {K,P,S<:DOFSet,N}
field_names = fieldnames(S)
topology = K()
basis = P()
n_nodes = nnodes(topology)
# Build expressions for LocalField creation for each field
field_exprs = Expr[]
offset = 0
for fname in field_names
field_spec = fieldtype(S, fname)
field_type = field_spec.parameters[1] # Displacement{3}
entity_type = field_spec.parameters[2]
# Extract quantity type via trait
Q = quantity_type(field_spec) # Vec{3} or Float64
if entity_type === Vertex
if Q === Float64
# Scalar field interpolation
value_terms = Expr[]
grad_terms = Expr[]
value_old_terms = Expr[]
grad_old_terms = Expr[]
rate_terms = Expr[]
for i in 1:n_nodes
idx = offset + i
# Current value and gradient
push!(value_terms, :(Nvals[$i] * u_global[elem.dof_indices[$idx]]))
push!(grad_terms, :(dN[$i] * u_global[elem.dof_indices[$idx]]))
# Old value and gradient (for gradient_rate)
push!(value_old_terms, :(Nvals[$i] * u_old[elem.dof_indices[$idx]]))
push!(grad_old_terms, :(dN[$i] * u_old[elem.dof_indices[$idx]]))
# Rate
push!(rate_terms, :(Nvals[$i] * u_rate[elem.dof_indices[$idx]]))
end
value_expr = Expr(:call, :+, value_terms...)
grad_expr = Expr(:call, :+, grad_terms...)
grad_old_expr = Expr(:call, :+, grad_old_terms...)
rate_expr = Expr(:call, :+, rate_terms...)
# Gradient rate from increment
grad_rate_expr = :(($grad_expr - $grad_old_expr) / Δt)
# Create LocalField
local_field_expr = :(LocalField($value_expr, $grad_expr, $rate_expr, $grad_rate_expr))
push!(field_exprs, Expr(:(=), fname, local_field_expr))
offset += n_nodes
elseif Q isa UnionAll && Q.body <: Tensor && Q.body.parameters[1] == 1
# Vector field interpolation
vec_dim = Q.body.parameters[2]
value_terms = Expr[]
grad_terms = Expr[]
value_old_terms = Expr[]
grad_old_terms = Expr[]
rate_terms = Expr[]
for node in 0:(n_nodes-1)
node_idx = node + 1
# Current values
vec_comps = [:(u_global[elem.dof_indices[$(offset+node*vec_dim+comp)]]) for comp in 1:vec_dim]
u_node = :(Vec{$vec_dim}($(Expr(:tuple, vec_comps...))))
push!(value_terms, :(Nvals[$node_idx] * $u_node))
push!(grad_terms, :(dN[$node_idx] $u_node))
# Old values (for gradient_rate)
vec_comps_old = [:(u_old[elem.dof_indices[$(offset+node*vec_dim+comp)]]) for comp in 1:vec_dim]
u_node_old = :(Vec{$vec_dim}($(Expr(:tuple, vec_comps_old...))))
push!(value_old_terms, :(Nvals[$node_idx] * $u_node_old))
push!(grad_old_terms, :(dN[$node_idx] $u_node_old))
# Rate values
vec_comps_rate = [:(u_rate[elem.dof_indices[$(offset+node*vec_dim+comp)]]) for comp in 1:vec_dim]
u_node_rate = :(Vec{$vec_dim}($(Expr(:tuple, vec_comps_rate...))))
push!(rate_terms, :(Nvals[$node_idx] * $u_node_rate))
end
value_expr = Expr(:call, :+, value_terms...)
grad_expr = Expr(:call, :+, grad_terms...)
grad_old_expr = Expr(:call, :+, grad_old_terms...)
rate_expr = Expr(:call, :+, rate_terms...)
# Gradient rate from increment
grad_rate_expr = :(($grad_expr - $grad_old_expr) / Δt)
# Create LocalField
local_field_expr = :(LocalField($value_expr, $grad_expr, $rate_expr, $grad_rate_expr))
push!(field_exprs, Expr(:(=), fname, local_field_expr))
offset += n_nodes * vec_dim
else
error("Unsupported quantity type: $Q")
end
else
error("Unsupported entity type: $entity_type (only Vertex supported for now)")
end
end
nt_expr = Expr(:tuple, field_exprs...)
return quote
@inbounds begin
# Evaluate basis functions once
Nvals = get_basis_functions($topology, $basis, ξ)
dN = get_basis_derivatives($topology, $basis, ξ)
# Return NamedTuple of LocalField
return $nt_expr
end
end
end