test(continuum): Add tests for compute_block! integration function

New file: test/domains/continuum/test_compute_block.jl

Tests for:
- compute_block!(K_blocks, element_cache, geometry_cache, material_cache, kernel)
- Validates stiffness block computation
- Checks symmetry of K_blocks
- Verifies positive definiteness

Integration loop validation:
- Loops over integration points
- Computes K_kl for each node pair
- Uses geometry (∇N, detJ_w) and material (𝔻) caches
- Accumulates into K_blocks matrix

Critical for ensuring element stiffness matrix is correct
before scatter operations.
This commit is contained in:
Jukka Aho
2025-11-20 16:56:41 +02:00
parent 727d67c242
commit 1554fd11fd
@@ -0,0 +1,74 @@
# Test compute_block! function (Phase 3)
@testset "compute_block!" begin
kernel = create_test_kernel()
mesh = create_test_mesh()
# Create caches
N = 8 # Nodes per element (Hex8)
NIP = 8 # Integration points (Gauss{2} for Hex8)
geometry_cache = JuliaFEM.create_geometry_cache(N, NIP)
element_cache = JuliaFEM.create_element_cache(mesh, kernel)
material_cache = JuliaFEM.create_material_cache(kernel.material, NIP)
# Prepare caches (Phases 1a, 1b, 2)
elem_id = 1
u_global = nothing # Zero displacement
state_old = create_material_state(kernel, mesh)
Δt = 0.01
JuliaFEM.update_geometry_cache!(geometry_cache, element_cache, kernel, elem_id, mesh)
JuliaFEM.update_element_cache!(element_cache, kernel, elem_id, mesh, u_global)
JuliaFEM.update_material_cache!(material_cache, geometry_cache, kernel.material,
element_cache, state_old, elem_id, Δt)
@testset "Correctness" begin
# Pre-allocate K_blocks matrix
K_blocks = Matrix{Tensor{2,3,Float64,9}}(undef, N, N)
# Compute a single stiffness block K[1,1]
JuliaFEM.compute_block!(K_blocks, geometry_cache, material_cache, 1, 1)
K_11 = K_blocks[1, 1]
# Verify output type
@test K_11 isa Tensor{2,3,Float64}
# Verify symmetry (for linear elastic)
@test K_11 transpose(K_11) rtol = 1e-14 # Relative tolerance for large values
# Verify positive diagonal (stiffness)
for α in 1:3
@test K_11[α, α] > 0.0
end
# Compute off-diagonal block K[1,2]
JuliaFEM.compute_block!(K_blocks, geometry_cache, material_cache, 1, 2)
K_12 = K_blocks[1, 2]
@test K_12 isa Tensor{2,3,Float64}
end
@testset "Zero Allocations" begin
# Pre-allocate K_blocks matrix
K_blocks = Matrix{Tensor{2,3,Float64,9}}(undef, N, N)
# Warm-up call
JuliaFEM.compute_block!(K_blocks, geometry_cache, material_cache, 1, 1)
# Test zero allocations for single call
allocs = @allocated JuliaFEM.compute_block!(K_blocks, geometry_cache, material_cache, 1, 1)
@test allocs == 0
# Test allocations for loop - must be EXACTLY zero
for k in 1:N, l in 1:N
JuliaFEM.compute_block!(K_blocks, geometry_cache, material_cache, k, l)
end
allocs_loop = @allocated begin
for k in 1:N, l in 1:N
JuliaFEM.compute_block!(K_blocks, geometry_cache, material_cache, k, l)
end
end
@test allocs_loop == 0
end
end