Von mises ideal plastic material, still couple of bugs

This commit is contained in:
Olli Väinölä
2015-12-17 17:13:23 +02:00
parent 695a9134a9
commit 80f021e16b
5 changed files with 690 additions and 24 deletions
+3 -15
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@@ -1,13 +1,11 @@
# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
include("vonmises.jl")
include("elasticplastic.jl")
# Elasticity problems
abstract ElasticityProblem <: AbstractProblem
abstract PlaneStressElasticityProblem <: ElasticityProblem
abstract ElasticityProblem <: AbstractProblem
abstract PlaneStressElasticityProblem <: ElasticityProblem
function get_unknown_field_name{P<:ElasticityProblem}(::Type{P})
return "displacement"
@@ -17,14 +15,6 @@ function get_unknown_field_type{P<:ElasticityProblem}(::Type{P})
return Vector{Float64}
end
function get_unknown_field_name{P<:ElasticPlasticProblem}(::Type{P})
return "displacement"
end
function get_unknown_field_type{P<:ElasticPlasticProblem}(::Type{P})
return Vector{Float64}
end
# 3D Elasticity problems
function ElasticityProblem(dim::Int=3, elements=[])
return Problem{ElasticityProblem}("elasticity problem", dim, elements)
@@ -67,8 +57,6 @@ https://en.wikipedia.org/wiki/Hooke's_law
"""
function get_residual_vector{P<:ElasticityProblem}(problem::Problem{P}, element::Element, ip::IntegrationPoint, time::Number; variation=nothing)
#function get_residual_vector{P<:ElasticPlasticProblem}(problem::Problem{P}, element::Element, ip::IntegrationPoint, time::Number; variation=nothing)
r = zeros(Float64, problem.dim, length(element))
J = get_jacobian(element, ip, time)
+247
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@@ -0,0 +1,247 @@
# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
include("vonmises.jl")
# Elasticity problems
abstract ElasticPlasticProblem <: AbstractProblem
abstract PlaneStressElasticPlasticProblem <: ElasticPlasticProblem
function get_unknown_field_name{P<:ElasticPlasticProblem}(::Type{P})
return "displacement"
end
function get_unknown_field_type{P<:ElasticPlasticProblem}(::Type{P})
return Vector{Float64}
end
# 3D Elasticity problems
function ElasticPlasticProblem(dim::Int=3, elements=[])
return Problem{ElasticPlasticProblem}("elasticplastic problem", dim, elements)
end
# 2D Plane stress elasticity problems
function PlaneStressElasticPlasticProblem(dim::Int=2, elements=[])
return Problem{PlaneStressElasticPlasticProblem}("plane stress elasticplastic problem", dim, elements)
end
function get_residual_vector{P<:PlaneStressElasticPlasticProblem}(problem::Problem{P}, element::Element, ip::IntegrationPoint, time::Number; variation=nothing)
r = zeros(Float64, problem.dim, length(element))
J = get_jacobian(element, ip, time)
# internal forces
if haskey(element, "youngs modulus") && haskey(element, "poissons ratio")
if !haskey(element, "integration points")
if P == PlaneStressElasticPlasticProblem
last_stress = zeros(2,2)
last_strain = zeros(2,2)
else
last_stress = zeros(3,3)
last_strain = zeros(3,3)
end
else
for each_ip in element("integration points", time)
if isapprox(each_ip.xi, ip.xi)
last_stress = ip("stress", time)
last_strain = ip("stress", time)
break
end
end
end
u = element("displacement", time, variation)
grad = element(ip, time, Val{:grad})
gradu = grad*u
# deformation gradient
F = I + gradu
E = 1/2*(F'*F - I)
# material
young = element("youngs modulus", ip, time)
poisson = element("poissons ratio", ip, time)
stress_y = element("yield stress", time).data
mu = young/(2*(1+poisson))
lambda = young*poisson/((1+poisson)*(1-2*poisson))
if P == PlaneStressElasticPlasticProblem
lambda = 2*lambda*mu/(lambda + 2*mu) # <- correction for 2d problems
end
dstrain = E - last_strain
material_model = element("material model", time)
s = last_stress
de = copy(ForwardDiff.get_value(dstrain))
if P == PlaneStressElasticPlasticProblem
C = stiffnessTensorPlaneStress(young, poisson)
s_v = [s[1,1], s[2,2], s[1,2]]
de_ = [de[1,1], de[2,2], de[1,2]]
problem_stress_type = :PlaneStressElasticPlasticProblem
else
C = stiffnessTensor(young, poisson)
s_v = [s[1,1], s[2,2], s[3,3], s[2,3], s[1,3], s[1,2]]
de_ = [de[1,1], de[2,2], de[3,3], de[2,3], de[1,3], de[1,2]]
problem_stress_type = :ElasticPlasticProblem
end
dep = zeros(3)
stress_inc, dep = calculate_stress(de_,
s_v,
C,
stress_y,
Val{:vonMises},
Val{problem_stress_type})
nd = [dep[1] dep[3];
dep[3] dep[2]]
# a = dstrain - nd
# b = C * a
info("%% ", dep)
dif = dstrain - nd
mm = [dif[1,1], dif[2,2], dif[1,2]]
s_v += C * mm
info("--: ", ForwardDiff.get_value(s_v))
# stress
if P == PlaneStressElasticPlasticProblem
S = [s_v[1] s_v[3];
s_v[3] s_v[2]]
else
S = [s_v[1] s_v[6] s_v[5];
s_v[6] s_v[2] s_v[4];
s_v[5] s_v[4] s_v[3]]
end
r += F*S*grad*det(J)
end
# external forces - volume load
if haskey(element, "displacement load")
basis = element(ip, time)
b = element("displacement load", ip, time)
r -= b*basis*det(J)
end
# external forces - surface traction force
if haskey(element, "displacement traction force")
basis = element(ip, time)
T = element("displacement traction force", ip, time)
JT = transpose(J)
s = size(JT, 2) == 1 ? JT : cross(JT[:,1], JT[:,2])
r -= T*basis*norm(s)
end
return vec(r)
end
#=
function get_residual_vector{P<:ElasticPlasticProblem}(problem::Problem{P}, element::Element, ip::IntegrationPoint, time::Number; variation=nothing)
r = zeros(Float64, problem.dim, length(element))
J = get_jacobian(element, ip, time)
info("_____________________")
# internal forces
if haskey(element, "youngs modulus") && haskey(element, "poissons ratio")
if !haskey(element, "integration points")
if P == PlaneStressElasticPlasticProblem
last_stress = zeros(2,2)
last_strain = zeros(2,2)
else
last_stress = zeros(3,3)
last_strain = zeros(3,3)
end
else
for each_ip in element("integration points", time)
if isapprox(each_ip.xi, ip.xi)
last_stress = ip("stress", time)
last_strain = ip("stress", time)
break
end
end
end
u = element("displacement", time, variation)
grad = element(ip, time, Val{:grad})
gradu = grad*u
# deformation gradient
F = I + gradu
# material
young = element("youngs modulus", ip, time)
poisson = element("poissons ratio", ip, time)
mu = young/(2*(1+poisson))
lambda = young*poisson/((1+poisson)*(1-2*poisson))
if P == PlaneStressElasticityProblem
lambda = 2*lambda*mu/(lambda + 2*mu) # <- correction for 2d problems
end
# strain
E = 1/2*(F'*F - I)
#E = 1/2*(gradu + gradu') # finite strain (total)
young = element("youngs modulus", ip, time)
poisson = element("poissons ratio", ip, time)
stress_y = element("yield stress", time).data
dstrain = E - last_strain
material_model = element("material model", time)
s = last_stress
de = ForwardDiff.get_value(dstrain)
if P == PlaneStressElasticPlasticProblem
C = stiffnessTensorPlaneStress(young, poisson)
s_v = [s[1,1], s[2,2], s[1,2]]
de_ = [de[1,1], de[2,2], de[1,2]]
problem_stress_type = :PlaneStressElasticPlasticProblem
else
C = stiffnessTensor(young, poisson)
s_v = [s[1,1], s[2,2], s[3,3], s[2,3], s[1,3], s[1,2]]
de_ = [de[1,1], de[2,2], de[3,3], de[2,3], de[1,3], de[1,2]]
problem_stress_type = :ElasticPlasticProblem
end
stress_inc, lambda = plastic_multiplier = calculate_stress(de_,
s_v,
C,
stress_y,
Val{:vonMises},
Val{problem_stress_type})
# dep = lambda * dfds(s)
# upate_material_parameters!(...)
s_new = s_v + stress_inc
#S = [s_v[1] s_v[6] s_v[5];
# s_v[6] s_v[2] s_v[4];
# s_v[5] s_v[4] s_v[3]]
S = [s_new[1] s_new[3];
s_new[3] s_new[2]]
# S = C * (E - dep)
info("Stress: ", vec(ForwardDiff.get_value(S)))
# stress
#S = lambda*trace(E)*I + 2*mu*E
r += F*S*grad*det(J)
end
# external forces - volume load
if haskey(element, "displacement load")
basis = element(ip, time)
b = element("displacement load", ip, time)
r -= b*basis*det(J)
end
# external forces - surface traction force
if haskey(element, "displacement traction force")
basis = element(ip, time)
T = element("displacement traction force", ip, time)
JT = transpose(J)
s = size(JT, 2) == 1 ? JT : cross(JT[:,1], JT[:,2])
r -= T*basis*norm(s)
end
return vec(r)
end
=# #fff
+96 -4
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@@ -1,5 +1,4 @@
using ForwardDiff
# using NLsolve
"""
Create a isotropic Hooke material matrix C
@@ -31,6 +30,17 @@ function stiffnessTensor(E, ν)
0 0 0 0 0 b].*multiplier
end
# Creating functions for newton: xₙ₊₁ = xₙ - df⁻¹ * f and initial values
function find_root!(f, df, x; max_iter=50, norm_acc=1e-10)
converged = false
for i=1:max_iter
dx = df(x) \ -f(x)
x += dx
norm(dx) < norm_acc && (converged = true; break)
end
converged || error("no convergence!")
x
end
type State
C :: Array{Float64, 2}
@@ -176,7 +186,9 @@ function calculate_stress!(dstrain, mat::State, ::Type{Val{:vonMises}})
end
end
function calculate_stress!(dstrain, stress, C, stress_y, ::Type{Val{:vonMises}})
function calculate_stress(dstrain, stress, C, stress_y,
::Type{Val{:vonMises}},
::Type{Val{:ElasticPlasticProblem}})
# Test stress
stress_tria = stress + C * dstrain
@@ -184,7 +196,7 @@ function calculate_stress!(dstrain, stress, C, stress_y, ::Type{Val{:vonMises}})
yield = vonMisesYield(stress_tria, stress_y)
if isless(yield, 0.0)
# stress[i] = stress_tria[i]
return 0.0
return 0.0
else
# Yielding happened
# Creating functions for newton: xₙ₊₁ = xₙ - df⁻¹ * f and initial values
@@ -193,7 +205,7 @@ function calculate_stress!(dstrain, stress, C, stress_y, ::Type{Val{:vonMises}})
df = ForwardDiff.jacobian(f)
# Calculating root
# result = nlsolve(not_in_place(f, df), initial_guess).zero
# result = nlsolve(not_in_place(f, df), initial_guess).zero
max_iter = 10
converged = false
for i=1:5
@@ -208,3 +220,83 @@ function calculate_stress!(dstrain, stress, C, stress_y, ::Type{Val{:vonMises}})
end
end
##################################################################################
# ----- AFTER THIS POINT: VON MISES : PLANE STRESS IMPLEMENTATION ----- #
##################################################################################
"""
http://www.efunda.com/formulae/solid_mechanics/mat_mechanics/hooke_plane_stress.cfm
"""
function stiffnessTensorPlaneStress(E, ν)
a = 1 - ν^2
b = 1 - ν
multiplier = E / a
return Float64[1 ν 0;
ν 1 0;
0 0 b].*multiplier
end
# von mises: plane stress
# https://andriandriyana.files.wordpress.com/2008/03/yield_criteria.pdf
function stress_eq_plane_stress(stress)
s1, s2, t12 = stress
# Calculating principal stresses
# http://www.engineersedge.com/material_science/principal_vonmises_stress__13418.htm
se1 = (s1 + s2)/2 + sqrt(((s1 - s2)/2)^2 + t12^2)
se2 = (s1 + s2)/2 - sqrt(((s1 - s2)/2)^2 + t12^2)
return sqrt(se1^2 -se1*se2 + se2^2)
end
# https://andriandriyana.files.wordpress.com/2008/03/yield_criteria.pdf
function vonMisesYieldPlaneStress(stress, stress_y)
stress_eq_plane_stress(stress) - stress_y
end
function vonMisesRootPlaneStress(params, dstrain, C, stress_y, stress_base)
# Creating wrapper for gradient
vm_wrap(stress_) = vonMisesYieldPlaneStress(stress_, stress_y)
dfds = ForwardDiff.gradient(vm_wrap)
# Stress rate and total strain
dstress = params[1:3]
stress_tot = vec(stress_base) + params[1:3]
# Calculating plastic strain rate
dstrain_p = params[end] * dfds(stress_tot)
# Calculating equations
function_1 = dstress - C * (dstrain - dstrain_p)
function_2 = vm_wrap(stress_tot)
[vec(function_1); function_2]
end
function calculate_stress(dstrain, stress, C, stress_y,
::Type{Val{:vonMises}},
::Type{Val{:PlaneStressElasticPlasticProblem}})
# Test stress
dstress = C * dstrain
stress_tria = stress + dstress
# Calculating and checking for yield
yield = vonMisesYieldPlaneStress(stress_tria, stress_y)
if isless(yield, 0.0)
return dstress, zeros(3)
else
info("yielded")
# Yielding happened
# Creating functions for newton: xₙ₊₁ = xₙ - df⁻¹ * f and initial values
x = [vec(stress_tria - stress); 0.0]
f(stress_) = vonMisesRootPlaneStress(stress_, dstrain, C, stress_y, stress)
df = ForwardDiff.jacobian(f)
# Calculating root
results = find_root!(f, df, x)
stress_tot = stress + results[1:3]
plastic_multiplier = results[end]
vm_wrap(stress_) = vonMisesYieldPlaneStress(stress_, stress_y)
dfds = ForwardDiff.gradient(vm_wrap)
dep = plastic_multiplier * dfds(stress_tot)
info("II ", stress_tot)
return results[1:3], dep
end
end
+230
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@@ -0,0 +1,230 @@
# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
module DirectSolverVonMisesTests
using JuliaFEM.Test
using JuliaFEM.Core: Seg2, Quad4
using JuliaFEM.Core: PlaneStressElasticityProblem, DirichletProblem
using JuliaFEM.Core: PlaneStressElasticPlasticProblem
using JuliaFEM.Core: DirectSolver
function test_solver_multiple_dirichlet_bc()
N = Vector[[0.0, 0.0], [1.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
e1 = Quad4([1, 2, 4, 3])
e1["geometry"] = Vector[N[1], N[2], N[4], N[3]]
e1["youngs modulus"] = 900.0
e1["poissons ratio"] = 0.25
e1["yield stress"] = 100.0
e1["material model"] = :vonMises
b1 = Seg2([3, 4])
b1["geometry"] = Vector[N[3], N[4]]
b1["displacement traction force"] = (
0.0 => Vector[[0.0, 0.0], [0.0, 0.0]],
1.0 => Vector[[0.0, -100.0], [0.0, -100.0]])
#problem = PlaneStressElasticityProblem()
problem = PlaneStressElasticPlasticProblem()
push!(problem, e1)
push!(problem, b1)
# boundary elements for dirichlet dx=0
dx = Seg2([1, 3])
dx["geometry"] = Vector[N[1], N[3]]
dx["displacement 1"] = 0.0
# boundary elements for dirichlet dy=0
dy = Seg2([1, 2])
dy["geometry"] = Vector[N[1], N[2]]
dy["displacement 2"] = 0.0
problem2 = DirichletProblem("displacement", 2)
push!(problem2, dx)
problem3 = DirichletProblem("displacement", 2)
push!(problem3, dy)
solver = DirectSolver()
#solver.dump_matrices = true
solver.name = "test_solver_multiple_dirichlet_bc"
push!(solver, problem)
push!(solver, problem2)
push!(solver, problem3)
# launch solver
#norm = solver(0.0)
norm = solver(1.0)
disp = e1("displacement", [1.0, 1.0], 1.0)
info("displacement at tip: $disp")
#@test isapprox(disp, [3.17431158889468E-02, -1.38591518927826E-01])
end
test_solver_multiple_dirichlet_bc()
#=
function test_direct_cholesky_with_non_homogeneous_dirichlet_conditions()
N = Vector[[0.0, 0.0], [1.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
e1 = Quad4([1, 2, 4, 3])
e1["geometry"] = Vector[N[1], N[2], N[4], N[3]]
e1["youngs modulus"] = 900.0
e1["poissons ratio"] = 0.25
problem = PlaneStressElasticityProblem()
push!(problem, e1)
# left boundary: dx=-0.1, dy=0.1
bc1 = Seg2([1, 3])
bc1["geometry"] = Vector[N[1], N[3]]
bc1["displacement 1"] = -0.1
bc1["displacement 2"] = 0.1
# right boundary: dx=0.2, dy=-0.2
bc2 = Seg2([2, 4])
bc2["geometry"] = Vector[N[2], N[4]]
bc2["displacement 1"] = 0.2
bc2["displacement 2"] = -0.2
boundary = DirichletProblem("displacement", 2)
push!(boundary, bc1)
push!(boundary, bc2)
solver = DirectSolver("test_direct_cholesky_with_non_homogeneous_dirichlet_boundary_conditions")
push!(solver, problem)
push!(solver, boundary)
# launch solver
solver.method = :UMFPACK
solver.dump_matrices = true
solver.max_iterations = 1
iters, status = solver(0.0)
# FIXME: solver gives no convergence warning when all dofs are fixed.
n1disp = e1("displacement", [-1.0, -1.0], 0.0)
n2disp = e1("displacement", [ 1.0, -1.0], 0.0)
n3disp = e1("displacement", [-1.0, 1.0], 0.0)
n4disp = e1("displacement", [ 1.0, 1.0], 0.0)
udisp = [n1disp n2disp n3disp n4disp]
info("nodal disp = ", udisp)
@test isapprox(n1disp, [-0.1, 0.1])
@test isapprox(n3disp, [-0.1, 0.1])
@test isapprox(n2disp, [ 0.2, -0.2])
@test isapprox(n4disp, [ 0.2, -0.2])
@test status == true
end
#test_direct_cholesky_with_non_homogeneous_dirichlet_conditions()
function test_solver_no_convergence()
N = Vector[[0.0, 0.0], [1.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
e1 = Quad4([1, 2, 4, 3])
e1["geometry"] = Vector[N[1], N[2], N[4], N[3]]
e1["youngs modulus"] = 900.0
e1["poissons ratio"] = 0.25
b1 = Seg2([3, 4])
b1["geometry"] = Vector[N[3], N[4]]
b1["displacement traction force"] = Vector[[100.0, 100.0], [100.0, 100.0]]
problem = PlaneStressElasticityProblem()
push!(problem, e1)
push!(problem, b1)
# boundary elements for dirichlet dx=0
dx = Seg2([1, 3])
dx["geometry"] = Vector[N[1], N[3]]
dx["displacement 1"] = 0.0
# boundary elements for dirichlet dy=0
dy = Seg2([1, 2])
dy["geometry"] = Vector[N[1], N[2]]
dy["displacement 2"] = 0.0
problem2 = DirichletProblem("displacement", 2)
push!(problem2, dx)
problem3 = DirichletProblem("displacement", 2)
push!(problem3, dy)
solver = DirectSolver()
solver.max_iterations = 1
push!(solver, problem)
push!(solver, problem2)
push!(solver, problem3)
# launch solver
iterations, status = solver(0.0)
@test status == false
end
function test_solver_multiple_bodies_multiple_dirichlet_bc()
N = Vector[
[0.0, 0.0], [1.0, 0.0],
[0.0, 1.0], [1.0, 1.0],
[0.0, 2.0], [1.0, 2.0]]
e1 = Quad4([1, 2, 4, 3])
e1["geometry"] = Vector[N[1], N[2], N[4], N[3]]
e2 = Quad4([3, 4, 6, 5])
e2["geometry"] = Vector[N[3], N[4], N[6], N[5]]
for el in [e1, e2]
el["youngs modulus"] = 900.0
el["poissons ratio"] = 0.25
end
b1 = Seg2([5, 6])
b1["geometry"] = Vector[N[5], N[6]]
b1["displacement traction force"] = Vector[[0.0, -100.0], [0.0, -100.0]]
body1 = PlaneStressElasticityProblem()
push!(body1, e1)
body2 = PlaneStressElasticityProblem()
push!(body2, e2)
push!(body2, b1)
# boundary elements for dirichlet dx=0
dx1 = Seg2([1, 3])
dx1["geometry"] = Vector[N[1], N[3]]
dx2 = Seg2([3, 5])
dx2["geometry"] = Vector[N[3], N[5]]
for dx in [dx1, dx2]
dx["displacement 1"] = 0.0
end
boundary1 = DirichletProblem("displacement", 2)
push!(boundary1, dx1)
push!(boundary1, dx2)
# boundary elements for dirichlet dy=0
dy1 = Seg2([1, 2])
dy1["geometry"] = Vector[N[1], N[2]]
dy1["displacement 2"] = 0.0
boundary2 = DirichletProblem("displacement", 2)
push!(boundary2, dy1)
solver = DirectSolver()
push!(solver, body1)
push!(solver, body2)
push!(solver, boundary1)
push!(solver, boundary2)
# launch solver
norm = solver(0.0)
disp = e2("displacement", [1.0, 1.0], 0.0)
info("displacement at tip: $disp")
# code aster verification, two_elements.comm
@test isapprox(disp, [3.17431158889468E-02, -2.77183037855653E-01])
end
#test_solver_multiple_bodies_multiple_dirichlet_bc()
=#
end
+114 -5
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@@ -1,9 +1,12 @@
module VonMisesTests
using PyPlot
using JuliaFEM.MaterialModels: stiffnessTensor, calculate_stress!, State
using JuliaFEM.Test
using JuliaFEM.MaterialModels: stiffnessTensor, calculate_stress, State
using JuliaFEM.MaterialModels: stiffnessTensorPlaneStress
function test_von_mises_basic()
function test_von_mises_3D_basic()
steps = 1000
strain_max = 0.003
@@ -51,7 +54,7 @@ function test_von_mises_basic()
info("Starting calculation")
tic()
#=
#=
for i=1:steps
strain_new = reshape(strain_tot[i, :, :], (6, 1))
dstrain = strain_new - mat.strain
@@ -76,7 +79,7 @@ function test_von_mises_basic()
fill_tensor(eig_stress, stress)
eig_vals[i, :] = sort(eigvals(eig_stress))
end
toc()
# ================ Plotting =================== #
n(θ, ϕ) = [sin(θ)*cos(ϕ)
@@ -127,6 +130,112 @@ function test_von_mises_basic()
PyPlot.show()
end
test_von_mises_basic()
function test_von_mises_planestress_basic()
steps = 1000
strain_max = 0.003
num_cycles = 5
E = 200.0e3
nu = 0.3
ν = 0.3
C = stiffnessTensorPlaneStress(E, ν)
strain_tot = zeros(Float64, (steps, 3))
# Adding only strain in x-axis and counting for the poisson effect
strain_tot[:, 1] = strain_max * sin(2 * pi * linspace(0, num_cycles, steps))
strain_tot[:, 2] = strain_max * sin(2 * pi * linspace(0, num_cycles, steps)).*-ν
strain_tot[:, 3] = strain_max * sin(2 * pi * linspace(0, num_cycles, steps)).*-ν
strain_last = zeros(Float64, (3))
strain_p = zeros(Float64, (3))
stress = zeros(Float64, (3, 1))
stress_y = 200.0
ss = Float64[]
ee = Float64[]
ss2 = Float64[]
ee2 = Float64[]
eig_stress = zeros(Float64, (3, 3))
eig_vals = zeros(Float64, (steps, 3))
#mat = State(C, stress_y, zeros(Float64, 6), zeros(Float64, 6))
info("Starting calculation")
tic()
#=
for i=1:steps
strain_new = reshape(strain_tot[i, :, :], (6, 1))
dstrain = strain_new - mat.strain
calculate_stress!(dstrain, mat, Val{:vonMises})
mat.strain += vec(dstrain)
push!(ss, mat.stress[1])
push!(ee, mat.strain[1])
fill_tensor(eig_stress, mat.stress)
eig_vals[i, :] = sort(eigvals(eig_stress))
end
=#
stress = zeros(Float64, 3)
strain = zeros(Float64, 3)
for i=1:steps
strain_new = reshape(strain_tot[i, :, :], (3, 1))
dstrain = strain_new - strain
stress_inc, lambda = calculate_stress(dstrain,
stress,
C,
stress_y,
Val{:vonMises},
Val{:PlaneStressElasticPlasticProblem})
stress += stress_inc
strain = vec(strain_new)
s1, s2, t12 = stress
se1 = (s1 + s2)/2 + sqrt(((s1 - s2)/2)^2 + t12^2)
se2 = (s1 + s2)/2 - sqrt(((s1 - s2)/2)^2 + t12^2)
push!(ss, se1)
push!(ee, se2)
end
toc()
function vm_upper(a, c)
vals = f(a[1], a[2], c)
vm(vals[1], vals[2], 200)
end
vm(a,b) = sqrt(a^2 - a*b + b^2) - 200
f(m,c) = [600*cos(c) 600*sin(c)].*m
x_vals = []
max_iter = 100
y_vals = []
for i=0:0.1:(2*pi+0.3)
wf(x) = f(x, i)
t = 0.01
step = 2
merkki = -1
s11, s22 = wf(t)
ii = 0
while (abs(vm(s11, s22)) > 1e-7) && ii < max_iter
val = vm(s11, s22)
if sign(val) != merkki
merkki *= -1
step *= -0.5
end
t += step
s11, s22 = wf(t)
ii += 1
end
push!(x_vals, s11)
push!(y_vals, s22)
end
PyPlot.plot(x_vals, y_vals)
PyPlot.plot(ee, ss)
PyPlot.grid()
PyPlot.show()
end
# test_von_mises_3D_basic()
test_von_mises_planestress_basic()
end