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JuliaFEM.jl/test/test_modal_analysis_elasticity.jl
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# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
using JuliaFEM
using JuliaFEM.Preprocess
using JuliaFEM.Postprocess
using JuliaFEM.Testing
#= this has nothing to do here
@testset "calculate cross-sectional properties" begin
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mesh_file = @__DIR__() * "/testdata/primitives.med"
mesh = aster_read_mesh(mesh_file, "CYLINDER_20_TET4")
# calculate cross-sectional properties A and Iₓ
fixed1 = Problem(Dirichlet, "left support", 3, "displacement")
fixed1.elements = create_elements(mesh, "FACE1")
A = calculate_area(fixed1)
info("cross-section area: $A")
# real area is π
@test isapprox(A, pi; rtol=0.1)
Xc = calculate_center_of_mass(fixed1)
info("center of mass: $Xc")
@test isapprox(Xc, [0.0, 0.0, 0.0]; atol=1.0e-12)
I = calculate_second_moment_of_mass(fixed1)
info("moments:")
info(I)
I_expected = zeros(3, 3)
I_expected[2,2] = I_expected[3,3] = pi/4
rtol = norm(I[2,2]-I_expected[2,2]) / max(I[2,2],I_expected[2,2])
info("I rtol = $rtol")
@test isapprox(I, I_expected; rtol = 0.2)
end
=#
#=
test subjects:
- calculate cross-sectional properties
- modal analysis with known solution
Fixed-fixed solution is ωᵢ = λᵢ²√(EI/ρA) , where λᵢ = cosh(λᵢℓ)cos(λᵢℓ)
1: 4.730040744862704
2: 7.853204624095838
3: 10.995607838001671
Youngs modulus is tuned such that lowest eigenfrequency matches 1.0
5 lowest eigenfrequencies using Code Aster and Tet4 elements:
numéro fréquence (HZ) norme d'erreur
1 1.19789E+00 2.20137E-12
2 1.20179E+00 1.99034E-12
3 3.07391E+00 3.29226E-13
4 3.08812E+00 2.91550E-13
5 4.87370E+00 2.95986E-13
5 lowest eigenfrequencies using Code Aster and Tet10 elements:
numéro fréquence (HZ) norme d'erreur
1 9.65942E-01 1.54950E-11
2 9.66160E-01 1.62712E-11
3 2.52127E+00 2.06544E-12
4 2.52187E+00 1.77970E-12
5 3.48584E+00 9.96170E-13
[1] De Silva, Clarence W. Vibration: fundamentals and practice. CRC press, 2006, p.355
=#
@testset "long rod natural frequencies" begin
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mesh_file = @__DIR__() * "/testdata/primitives.med"
mesh = aster_read_mesh(mesh_file, "CYLINDER_20_TET10")
# for (id, coords) in mesh.nodes
# mesh.nodes[id][1] *= 5.0
# end
body = Problem(Elasticity, "rod", 3)
body.elements = create_elements(mesh, "CYLINDER")
#E = 50475.44814745859
E = 50475.5
rho = 1.0
update!(body.elements, "youngs modulus", E)
update!(body.elements, "poissons ratio", 0.3)
update!(body.elements, "density", rho)
# calculate cross-sectional properties A and Iₓ
fixed1 = Problem(Dirichlet, "left support", 3, "displacement")
fixed1.elements = create_elements(mesh, "FACE1")
update!(fixed1.elements, "displacement 1", 0.0)
update!(fixed1.elements, "displacement 2", 0.0)
update!(fixed1.elements, "displacement 3", 0.0)
fixed2 = Problem(Dirichlet, "right support", 3, "displacement")
fixed2.elements = create_elements(mesh, "FACE2")
update!(fixed2.elements, "displacement 1", 0.0)
update!(fixed2.elements, "displacement 2", 0.0)
update!(fixed2.elements, "displacement 3", 0.0)
A = calculate_area(fixed1)
info("cross-section area: $A")
# using SALOME / SMESH, A = 2.82843
# real area is π
@test isapprox(A, pi; rtol=0.1)
Xc = calculate_center_of_mass(fixed1)
info("center of mass: $Xc")
#@test isapprox(Xc, [0.0, 0.0, 0.0]; atol=1.0e-5)
I = calculate_second_moment_of_mass(fixed1)
info("moments:")
info(I)
I_expected = zeros(3, 3)
r = 1.0
I_expected[2,2] = I_expected[3,3] = pi/4*r^2
rtol = norm(I[2,2]-I_expected[2,2]) / max(I[2,2],I_expected[2,2])
info("I rtol = $rtol")
@test isapprox(I, I_expected; rtol = 0.2)
#=
# apply transform Tx + b, in this case move cross-section to
# xy-plane from yz-plane, i.e.
# x₁ = y₂
# y₁ = z₂
T = [
0.0 1.0 0.0
0.0 0.0 1.0]
b = [0.0, 0.0]
X 1 = first(cross_section)("geometry", [1/3, 1/3], 0.0)
apply_affine_transform!(cross_section, T, b)
X2 = first(cross_section)("geometry", [1/3, 1/3], 0.0)
info("X1 = $X1, X2 = $X2")
@test isapprox(T*X1+b, X2)
=#
c = sqrt(E*I[2,2]/(rho*A))
info("c = $c")
# analytical solution is
l = 20.0
r = 1.0
la = 4.730040744862704/l
# semi-analytical (c numerical)
freq_sa = (c*la^2)/(2*pi)
info("freq_sa = $freq_sa")
A = pi*r^2
I = pi/4*r^4
c = sqrt(E*I/(rho*A))
info("c analytical = $c")
freq_a = (c*la^2)/(2*pi)
info("freq_a = $freq_a")
solver = Solver(Modal, body, fixed1, fixed2)
solver.properties.nev = 5
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solver.xdmf = Xdmf()
solver()
freqs_jf = sqrt.(solver.properties.eigvals)/(2.0*pi)
# with Tet4 elements
#freqs_ca = [1.19789E+00, 1.20179E+00, 3.07391E+00, 3.08813E+00, 4.87370E+00]
# with Tet10 elements
freqs_ca = [9.65942E-01, 9.66160E-01, 2.52127E+00, 2.52187E+00, 3.48584E+00]
# looks that juliafem results are more close to 1.0, maybe different integration order
rtol1 = norm(freq_sa - freqs_jf[1])/max(freq_sa, freqs_jf[1])
rtol2 = norm(freq_a - freqs_jf[1])/max(freq_a, freqs_jf[1])
info("rtol 1 = $rtol1, rtol 2 = $rtol2")
passed = true
for (f1, f2) in zip(freqs_jf, freqs_ca)
rtol = norm(f1-f2) / max(f1,f2)
@printf "JF: %8.5e | CA: %8.5e | rtol: %8.5e\n" f1 f2 rtol
passed &= (rtol < 3.0e-2)
end
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@test rtol2 < 3.5e-2
@test passed
#=
result = XDMF()
for (i, freq) in enumerate(freqs)
isapprox(freq, 0.0) && continue
info("$i freq: $freq")
xdmf_new_result!(result, body, freq)
xdmf_save_field!(result, body, freq, "displacement"; field_type="Vector")
end
xdmf_save!(result, "/tmp/rod_nf.xmf")
=#
end
@testset "eigenvalues of cube (tet4)" begin
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meshfile = @__DIR__() * "/testdata/primitives.med"
mesh = aster_read_mesh(meshfile, "CUBE_TET4")
cube = Problem(mesh, Elasticity, "CUBE", 3)
update!(cube.elements, "youngs modulus", 10000.0)
update!(cube.elements, "poissons ratio", 0.3)
update!(cube.elements, "density", 10.0)
sym23 = create_elements(mesh, "FACE231")
update!(sym23, "displacement 1", 0.0)
sym13 = create_elements(mesh, "FACE131")
update!(sym13, "displacement 2", 0.0)
sym12 = create_elements(mesh, "FACE121")
update!(sym12, "displacement 3", 0.0)
bcs = Problem(Dirichlet, "bcs", 3, "displacement")
bcs.elements = [sym23; sym13; sym12]
solver = Solver(Modal)
solver.properties.nev = 5
push!(solver, cube, bcs)
solver()
freqs_jf = sqrt.(solver.properties.eigvals)/(2.0*pi)
freqs_ca = [3.73724E+00, 3.73724E+00, 4.93519E+00, 6.59406E+00, 7.65105E+00]
for (f1, f2) in zip(freqs_jf, freqs_ca)
rtol = norm(f1-f2) / max(f1,f2)
@printf "JF: %8.5e | CA: %8.5e | rtol: %8.5e\n" f1 f2 rtol
@test rtol < 1.0e-5
end
end