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https://github.com/JuliaFEM/JuliaFEM.jl.git
synced 2026-10-03 14:47:55 +00:00
added sparse assembly
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@@ -1,11 +1,11 @@
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using JuliaFEM.elasticity_solver
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using FactCheck
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using Logging
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@Logging.configure(level=DEBUG)
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using JuliaFEM.elasticity_solver: solve_elasticity_increment!
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facts("test solve elasticity increment") do
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X = [0 0; 10 0; 10 1; 0 1]'
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elmap = [1; 2; 3; 4]
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nodalloads = [0 0; 0 0; 0 -2; 0 0]'
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@@ -41,8 +41,8 @@ facts("test solve elasticity increment") do
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iweights = [1 1 1 1]
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for i=1:10
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JuliaFEM.elasticity_solver.solve_elasticity_increment!(
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X, u, du, R, Kt,elmap, nodalloads, dirichletbc, la, mu, N, dNdξ, ipoints, iweights)
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solve_elasticity_increment!(X, u, du, R, Kt,elmap, nodalloads, dirichletbc,
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la, mu, N, dNdξ, ipoints, iweights)
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@debug("increment:\n",du)
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u += du
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if norm(du) < 1.0e-9
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@@ -52,3 +52,70 @@ facts("test solve elasticity increment") do
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@debug("solution\n",u)
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@fact u[2, 3] => roughly(-2.222244754401764) # Tested against Elmer solution
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end
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using JuliaFEM.elasticity_solver: assemble!
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facts("test assembly of global matrix for 1 dim/node case") do
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I = Int64[]
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J = Int64[]
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V = Float64[]
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ke = [3 1; 1 1]
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eldofs = [1, 2]
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assemble!(ke, eldofs, I, J, V)
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ke = [4 2; 2 3]
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eldofs = [2, 4]
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assemble!(ke, eldofs, I, J, V)
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S = full(sparse(I, J, V))
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@fact S => [3.0 1.0 0.0 0.0
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1.0 5.0 0.0 2.0
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0.0 0.0 0.0 0.0
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0.0 2.0 0.0 3.0]
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end
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facts("test assembly of global vector for 1 dim/node case") do
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I = Int64[]
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V = Float64[]
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fe = [1;2]
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eldofs = [1, 2]
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assemble!(fe, eldofs, I, V)
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fe = [3;1]
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eldofs = [2, 4]
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assemble!(fe, eldofs, I, V)
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S = full(sparsevec(I, V))
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@fact S => [1.0 5.0 0.0 1.0]'
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end
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facts("test assembly of global matrix for 2 dim/node case") do
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# provide "convienence" function, if given only nodal connectivity
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# automatically find out dimension and "extend" matrix to full
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I = Int64[]
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J = Int64[]
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V = Float64[]
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ke = reshape(1:16, 4, 4)
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eldofs = [1, 2]
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assemble!(ke, eldofs, I, J, V)
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eldofs = [2, 3]
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assemble!(2*ke, eldofs, I, J, V)
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expected = zeros(6, 6)
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expected[1:4,1:4] += ke
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expected[3:6,3:6] += 2*ke
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S = full(sparse(I, J, V))
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@fact S => expected
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end
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facts("test assembly of global vector for 2 dim/node case") do
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# provide "convienence" function, if given only nodal connectivity
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# automatically find out dimension and "extend" matrix to full
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I = Int64[]
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J = Int64[]
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V = Float64[]
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fe = [1, 2, 3, 4]
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eldofs = [1, 2]
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assemble!(fe, eldofs, I, V)
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eldofs = [2, 3]
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assemble!(2*fe, eldofs, I, V)
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S = full(sparsevec(I, V))
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expected = [1.0 2.0 5.0 8.0 6.0 8.0]'
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@fact S => expected
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end
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