Changed functions forms

This commit is contained in:
Olli
2016-10-02 18:43:34 +03:00
parent 9749778420
commit b78dee32d6
2 changed files with 206 additions and 216 deletions
+203 -212
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@@ -1,208 +1,200 @@
using ForwardDiff
using NLsolve
# using NLsolve
# 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-9)
function find_root!(f, df, x; max_iter=100, norm_acc=1e-9)
converged = false
iter_num = 0
for i=1:max_iter
dx = -df(x) \ f(x)
norm(dx) < norm_acc && (converged = true; break)
x += dx
norm(dx) < norm_acc && (converged = true; iter_num = i; break)
end
converged || error("no convergence!")
converged || error("No convergence in radial return!")
return x
end
type State
C :: Array{Float64, 2}
stress_y :: Float64
stress :: Array{Float64, 1}
strain :: Array{Float64, 1}
end
"""
Equivalent tensile stress.
More info can be found from: https://en.wikipedia.org/wiki/Von_Mises_yield_criterion
Section: Reduced von Mises equation for different stress conditions
Parameters
----------
σ: Array{Float64, 6}
Stress in Voigt notation
Returns
-------
Float
"""
function stress_eq(stress)
stress_ten = [stress[1] stress[6] stress[5];
stress[6] stress[2] stress[4];
stress[5] stress[4] stress[3]]
stress_dev = stress_ten - 1/3 * trace(stress_ten) * eye(3)
s = vec(stress_dev)
return sqrt(3/2 * dot(s, s))
end
"""
Von Mises Yield criterion
More info can be found from: http://csm.mech.utah.edu/content/wp-content/uploads/2011/10/9tutorialOnJ2Plasticity.pdf
Parameters
----------
σ: Array{Float64, 6}
Stress in Voigt notation
k: Float64
Material constant, Yield limit
Returns
-------
Float
"""
function vonMisesYield(stress, stress_y)
stress_eq(stress) - stress_y
end
"""
Function for NLsolve. Inside this function are the equations which we want to find root.
Ψ is the yield function below. Functions defined here:
dσ - C (dϵ - dλ*dΨ/dσ) = 0
σₑ(σ) - k = 0
Parameters
----------
params: Array{Float64, 7}
Array containing values from solver
dϵ: Array{Float64, 6}
Strain rate vector in Voigt notation
C: Array{Float64, (6, 6)}
Material tensor
k: Float
Material constant, yield limit
Δt: Float
time increment
σ_begin:Array{Float64, 6}
Stress vector in Voigt notation
Returns
-------
Array{Float64, 7}, return values for solver
"""
function vonMisesRoot(params, dstrain, C, stress_y, stress_base)
# Creating wrapper for gradient
vm_wrap(stress_) = vonMisesYield(stress_, stress_y)
dfds = ForwardDiff.gradient(vm_wrap)
# Stress rate and total strain
dstress = params[1:6]
stress_tot = vec(stress_base) + params[1:6]
# 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
"""
Stress for ideal plastic von Mises material model
Parameters
----------
dϵ: Array{Float64, 6}
Strain rate vector in Voigt notation
Δt: Float
time increment
σ: Array{Float64, 6}
Last stress vector in Voigt notation
C: Array{Float64, (6, 6)}
Material tensor
k: Float
Material constant, yield limit
Returns
-------
Tuple
Plastic strain rate dϵᵖ and new stress vector σ
"""
function calculate_stress!(dstrain, mat::State, ::Type{Val{:vonMises}})
stress = mat.stress
C = mat.C
stress_y = mat.stress_y
# Test stress
stress_tria = stress + C * dstrain
# Calculating and checking for yield
yield = vonMisesYield(stress_tria, stress_y)
if isless(yield, 0.0)
mat.stress = vec(stress_tria)
else
# Yielding happened
# Creating functions for newton: xₙ₊₁ = xₙ - df⁻¹ * f and initial values
initial_guess = Float64[vec(stress_tria - stress); 0.1]
f(stress_) = vonMisesRoot(stress_, dstrain, C, stress_y, stress)
df = ForwardDiff.jacobian(f)
# Calculating root
result = nlsolve(not_in_place(f, df), initial_guess).zero
mat.stress += result[1:6]
end
end
function calculate_stress(dstrain, stress, C, stress_y,
::Type{Val{:vonMises}},
::Type{Val{:ElasticPlasticProblem}})
# Test stress
stress_tria = stress + C * dstrain
# Calculating and checking for yield
yield = vonMisesYield(stress_tria, stress_y)
if isless(yield, 0.0)
# stress[i] = stress_tria[i]
return 0.0
else
# Yielding happened
# Creating functions for newton: xₙ₊₁ = xₙ - df⁻¹ * f and initial values
x = [vec(stress_tria - stress); 0.0]
f(stress_) = vonMisesRoot(stress_, dstrain, C, stress_y, stress)
df = ForwardDiff.jacobian(f)
# Calculating root
# result = nlsolve(not_in_place(f, df), initial_guess).zero
max_iter = 10
converged = false
for i=1:5
dx = df(x) \ -f(x)
x += dx
# println(x)
norm(dx) < 1e-10 && (converged = true; break)
end
converged || error("no convergence!")
# stress[:] += x[1:6]
return x[end]
end
end
# """
# Equivalent tensile stress.
#
# More info can be found from: https://en.wikipedia.org/wiki/Von_Mises_yield_criterion
# Section: Reduced von Mises equation for different stress conditions
#
# Parameters
# ----------
# σ: Array{Float64, 6}
# Stress in Voigt notation
#
# Returns
# -------
# Float
# """
# function stress_eq(stress)
# stress_ten = [stress[1] stress[6] stress[5];
# stress[6] stress[2] stress[4];
# stress[5] stress[4] stress[3]]
# stress_dev = stress_ten - 1/3 * trace(stress_ten) * eye(3)
# s = vec(stress_dev)
# return sqrt(3/2 * dot(s, s))
# end
#
#
# """
# Von Mises Yield criterion
#
# More info can be found from: http://csm.mech.utah.edu/content/wp-content/uploads/2011/10/9tutorialOnJ2Plasticity.pdf
#
# Parameters
# ----------
# σ: Array{Float64, 6}
# Stress in Voigt notation
# k: Float64
# Material constant, Yield limit
#
# Returns
# -------
# Float
# """
# function vonMisesYield(stress, stress_y)
# stress_eq(stress) - stress_y
# end
#
# """
# Function for NLsolve. Inside this function are the equations which we want to find root.
# Ψ is the yield function below. Functions defined here:
#
# dσ - C (dϵ - dλ*dΨ/dσ) = 0
# σₑ(σ) - k = 0
#
# Parameters
# ----------
# params: Array{Float64, 7}
# Array containing values from solver
# dϵ: Array{Float64, 6}
# Strain rate vector in Voigt notation
# C: Array{Float64, (6, 6)}
# Material tensor
# k: Float
# Material constant, yield limit
# Δt: Float
# time increment
# σ_begin:Array{Float64, 6}
# Stress vector in Voigt notation
#
# Returns
# -------
# Array{Float64, 7}, return values for solver
# """
# function vonMisesRoot(params, dstrain, C, stress_y, stress_base)
#
# # Creating wrapper for gradient
# vm_wrap(stress_) = vonMisesYield(stress_, stress_y)
# dfds = ForwardDiff.gradient(vm_wrap)
#
# # Stress rate and total strain
# dstress = params[1:6]
# stress_tot = vec(stress_base) + params[1:6]
#
# # 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
#
#
#
# """
# Stress for ideal plastic von Mises material model
#
# Parameters
# ----------
# dϵ: Array{Float64, 6}
# Strain rate vector in Voigt notation
# Δt: Float
# time increment
# σ: Array{Float64, 6}
# Last stress vector in Voigt notation
# C: Array{Float64, (6, 6)}
# Material tensor
# k: Float
# Material constant, yield limit
#
# Returns
# -------
# Tuple
# Plastic strain rate dϵᵖ and new stress vector σ
# """
# function calculate_stress!(dstrain, mat, ::Type{Val{:vonMises}})
# stress = mat.stress
# C = mat.C
# stress_y = mat.stress_y
# # Test stress
# stress_tria = stress + C * dstrain
#
# # Calculating and checking for yield
# yield = vonMisesYield(stress_tria, stress_y)
# if isless(yield, 0.0)
# mat.stress = vec(stress_tria)
# else
# # Yielding happened
# # Creating functions for newton: xₙ₊₁ = xₙ - df⁻¹ * f and initial values
# initial_guess = Float64[vec(stress_tria - stress); 0.1]
# f(stress_) = vonMisesRoot(stress_, dstrain, C, stress_y, stress)
# df = ForwardDiff.jacobian(f)
#
# # Calculating root
# result = nlsolve(not_in_place(f, df), initial_guess).zero
# mat.stress += result[1:6]
# end
# end
#
# function calculate_stress(dstrain, stress, C, stress_y,
# ::Type{Val{:vonMises}},
# ::Type{Val{:ElasticPlasticProblem}})
# # Test stress
# stress_tria = stress + C * dstrain
#
# # Calculating and checking for yield
# yield = vonMisesYield(stress_tria, stress_y)
# if isless(yield, 0.0)
# # stress[i] = stress_tria[i]
# return 0.0
# else
# # Yielding happened
# # Creating functions for newton: xₙ₊₁ = xₙ - df⁻¹ * f and initial values
# x = [vec(stress_tria - stress); 0.0]
# f(stress_) = vonMisesRoot(stress_, dstrain, C, stress_y, stress)
# df = ForwardDiff.jacobian(f)
#
# # Calculating root
# # result = nlsolve(not_in_place(f, df), initial_guess).zero
# max_iter = 10
# converged = false
# for i=1:5
# dx = df(x) \ -f(x)
# x += dx
# # println(x)
# norm(dx) < 1e-10 && (converged = true; break)
# end
# converged || error("no convergence!")
# # stress[:] += x[1:6]
# return x[end]
# end
# end
##################################################################################
# ----- AFTER THIS POINT: VON MISES : PLANE STRESS IMPLEMENTATION ----- #
##################################################################################
"""
http://www.efunda.com/formulae/solid_mechanics/mat_mechanics/hooke_plane_stress.cfm
"""
#"""
#http://www.efunda.com/formulae/solid_mechanics/mat_mechanics/hooke_plane_stress.cfm
#"""
# von mises: plane stress
# https://andriandriyana.files.wordpress.com/2008/03/yield_criteria.pdf
function stress_eq_plane_stress(stress)
function equivalent_stress(stress, ::Type{Val{:planestress}})
s1, s2, t12 = stress
# Calculating principal stresses
# http://www.engineersedge.com/material_science/principal_vonmises_stress__13418.htm
@@ -213,14 +205,14 @@ function stress_eq_plane_stress(stress)
end
# https://andriandriyana.files.wordpress.com/2008/03/yield_criteria.pdf
function vonMisesYieldPlaneStress(stress, stress_y)
stress_eq_plane_stress(stress) - stress_y
function yield_function(stress, stress_y, ::Type{Val{:von_mises}}, ::Type{Val{:plane_stress}})
equivalent_stress(stress, Val{:planestress}) - stress_y
end
function vonMisesRootPlaneStress(params, dstrain, D, stress_y, stress_base)
function radial_return(params, dstrain, D, stress_y, stress_base, ::Type{Val{:von_mises}}, ::Type{Val{:plane_stress}})
# Creating wrapper for gradient
vm_wrap(stress_) = vonMisesYieldPlaneStress(stress_, stress_y)
vm_wrap(stress_) = yield_function(stress_, stress_y, Val{:von_mises}, Val{:plane_stress})
dfds = x -> ForwardDiff.gradient(vm_wrap, x)
# Stress rate and total strain
@@ -236,46 +228,45 @@ function vonMisesRootPlaneStress(params, dstrain, D, stress_y, stress_base)
[vec(function_1); function_2]
end
# http://homes.civil.aau.dk/lda/continuum/plast.pdf
function plastic_von_mises!(stress, dstrain_vec, D, params, Dtan)
function plastic_von_mises!(stress_new, stress_last, dstrain_vec, D, params, Dtan)
# Test stress
dstress = vec(D * dstrain_vec)
stress_tria = stress + dstress
stress_tria = stress_last + dstress
stress_y = params["yield_stress"]
# Calculating and checking for yield
yield = vonMisesYieldPlaneStress(stress_tria, stress_y)
yield = yield_function(stress_tria, stress_y, Val{:von_mises}, Val{:plane_stress})
if isless(yield, 0.0)
stress[:] = stress_tria[:]
stress_new[:] = stress_tria[:]
Dtan[:,:] = D[:,:]
else
# 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_vec, D, stress_y, stress)
f = stress_ -> radial_return(stress_, dstrain_vec, D, stress_y, stress_last, Val{:von_mises}, Val{:plane_stress})
df = x -> ForwardDiff.jacobian(f, x)
# Calculating root
results = nlsolve(not_in_place(f), x).zero
dstress = results[1:3]
vals = [vec(stress_tria - stress_last); 0.0]
results = find_root!(f, df, vals)
stress_new = stress + dstress
# extracting results
dstress = results[1:3]
plastic_multiplier = results[end]
f_ = stress_ -> vonMisesYieldPlaneStress(stress_, stress_y)
# Updating stress
stress_new[:] = stress_last + dstress
# Calculating plastic strain
f_ = stress_ -> yield_function(stress_, stress_y, Val{:von_mises}, Val{:plane_stress})
dfds_ = x -> ForwardDiff.gradient(f_, x)
dep = plastic_multiplier * dfds_(vec(stress_new))
# Equations for consistent tangent matrix can be found from:
# http://homes.civil.aau.dk/lda/continuum/plast.pdf
# equations: 152 & 153
D2g = x -> ForwardDiff.hessian(f_, x)
Dc = (D^-1 + plastic_multiplier * D2g(stress_new))^-1
dfds = dfds_(stress_new)
Dtan = Dc - (Dc * dfds * dfds' * Dc) / (dfds' * Dc * dfds)[1]
println("plastic stress")
println(stress_new)
println(Dtan)
stress[:] = stress_new[:]
# stress[:] = D * dstrain_vec
println("elastic stress")
println(stress)
println(D)
Dtan[:,:] = D[:,:]
Dtan[:,:] = Dc - (Dc * dfds * dfds' * Dc) / (dfds' * Dc * dfds)[1]
end
end
+3 -4
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@@ -151,12 +151,11 @@ function assemble{El<:Elasticity2DVolumeElements}(problem::Problem{Elasticity},
params = plastic_def["params"]
(stress_last, strain_last) = get_internal_params(element.dev, ip.id, Val{:planestress})
dstrain_vec = strain_vec - strain_last
stress_vec = [0.0, 0.0, 0.0]
Dtan = [0.0 0.0 0.0;
0.0 0.0 0.0;
0.0 0.0 0.0]
calculate_stress!(stress_last, dstrain_vec, D, params, Dtan)
stress_vec = stress_last
calculate_stress!(stress_vec, stress_last, dstrain_vec, D, params, Dtan)
else
stress_vec = D * ([1.0, 1.0, 2.0] .* strain_vec)
Dtan = D
@@ -169,7 +168,7 @@ function assemble{El<:Elasticity2DVolumeElements}(problem::Problem{Elasticity},
:stress12 in props.store_fields && update!(ip, "stress12", time => stress_vec[3])
Km += w*BL'*Dtan*BL
# stress = [stress_vec[1] stress_vec[3]; stress_vec[3] stress_vec[2]]
# cauchy_stress = F'*stress*F/det(F)
# cauchy_stress = [cauchy_stress[1,1]; cauchy_stress[2,2]; cauchy_stress[1,2]]