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# Amira Abdel-Rahman
# (c) Massachusetts Institute of Technology 2020
function getDataFromSetup3D(setup,scale)
# -----------------------------------------------------------------------
# A(nel,1) = cross-sectional area of elements
# E(nel,1) = Young's modulus of elements
# f(ndf,nnp) = prescribed nodal forces
# g(ndf,nnp) = prescribed nodal displacements
# idb(ndf,nnp) = 1 if the degree of freedom is prescribed, 0 otherwise
# ien(nen,nel) = element connectivities
# ndf = number of degrees of freedom per node
# nel = number of elements
# nen = number of element equations
# nnp = number of nodes
# nsd = number of spacial dimensions
# xn(nsd,nnp) = nodal coordinates
# =======================================================================
nodes=setup["nodes"]
edges=setup["edges"]
# ---- MESH -------------------------------------------------------------
nsd = 3; # number of spacial dimensions
ndf = 6; # number of degrees of freedom per node
nen = 2; # number of element nodes
nel = length(edges); # number of elements
nnp = length(nodes); # number of nodal points
# ---- NODAL COORDINATES ------------------------------------------------
# xn(i,N) = coordinate i for node N
# N = 1,...,nnp
# i = 1,...,nsd
# -----------------------------------------------------------------------
xn = zeros(nsd,nnp);
for i in 1:nnp
xn[1:nsd, i] = [(nodes[i]["position"]["x"]/scale) (nodes[i]["position"]["y"]/scale) (nodes[i]["position"]["z"]/scale)]';
end
# ---- NODAL COORDINATES ------------------------------------------------
# ien(a,e) = N
# N: global node number - N = 1,...,nnp
# e: element number - e = 1,...,nel
# a: local node number - a = 1,...,nen
# -----------------------------------------------------------------------
ien = zeros(nen,nel);
for i in 1:nel
ien[1:2,i] = [(edges[i]["source"]+1) (edges[i]["target"]+1)]' ;
end
len=zeros(nel);
for i in 1:nel
x1=(nodes[(edges[i]["source"]+1)]["position"]["x"]/scale)
x2=(nodes[(edges[i]["target"]+1)]["position"]["x"]/scale)
y1=(nodes[(edges[i]["source"]+1)]["position"]["y"]/scale)
y2=(nodes[(edges[i]["target"]+1)]["position"]["y"]/scale)
z1=(nodes[(edges[i]["source"]+1)]["position"]["z"]/scale)
z2=(nodes[(edges[i]["target"]+1)]["position"]["z"]/scale)
len[i] = sqrt((x1-x2)^2+(y1-y2)^2+(z1-z2)^2);
end
# ---- MATERIAL PROPERTIES ----------------------------------------------
# E(e) = E_mat
# e: element number - e = 1,...,nel
# -----------------------------------------------------------------------
E_mat = 29000*1000; # Young's modulus # lbf/in^2
E = E_mat*ones(nel,1);
# todo change to make it parameter
# ---- GEOMETRIC PROPERTIES ---------------------------------------------
# A(e) = A_bar
# e: element number - e = 1,...,nel
# -----------------------------------------------------------------------
#A = ones(nel);
#A[:] .= 400; # mm^2
# ---- BOUNDARY CONDITIONS ----------------------------------------------
# prescribed displacement flags (essential boundary condition)
#
# idb(i,N) = 1 if the degree of freedom i of the node N is prescribed
# = 0 otherwise
#
# 1) initialize idb to 0
# 2) enter the flag for prescribed displacement boundary conditions
# -----------------------------------------------------------------------
idb = zeros(ndf,nnp);
for i in 1:nnp
if nodes[i]["restrained_degrees_of_freedom"][1]
idb[1,i]=1;
end
if nodes[i]["restrained_degrees_of_freedom"][2]
idb[2,i]=1;
end
if nodes[i]["restrained_degrees_of_freedom"][3]
idb[3,i]=1;
end
if nodes[i]["restrained_degrees_of_freedom"][4]
idb[4,i]=1;
end
if nodes[i]["restrained_degrees_of_freedom"][5]
idb[5,i]=1;
end
if nodes[i]["restrained_degrees_of_freedom"][6]
idb[6,i]=1;
end
end
# ---- BOUNDARY CONDITIONS: PRESCRIBED NODAL DISPLACEMENTS --------------
# g(i,N) = prescribed displacement magnitude
# N = 1,...,nnp
# i = 1,...,nsd
#
# 1) initialize g to 0
# 2) enter the values
# -----------------------------------------------------------------------
g = zeros(ndf,nnp);
# ---- BOUNDARY CONDITIONS: PRESCRIBED NODAL FORCES ---------------------
# f(i,N) = prescribed force magnitude
# N = 1,...,nnp
# i = 1,...,nsd
#
# 1) initialize f to 0
# 2) enter the values
# -----------------------------------------------------------------------
P = 20.0* 1000; # lbf
f = zeros(ndf,nnp);
for i in 1:nnp
#inverter
f[1,i] = nodes[i]["force"]["x"]*P;
f[2,i] = nodes[i]["force"]["y"]*P;
f[3,i] = nodes[i]["force"]["z"]*P;
end
Ls=[]
for i in 1:nnp
if (nodes[i]["fixedDisplacement"]["x"]!=0)||(nodes[i]["fixedDisplacement"]["y"]!=0)||(nodes[i]["fixedDisplacement"]["z"]!=0)
L=zeros(ndf,nnp);
L[1,i] = nodes[i]["fixedDisplacement"]["x"];
L[2,i] = nodes[i]["fixedDisplacement"]["y"];
L[3,i] = nodes[i]["fixedDisplacement"]["z"];
append!(Ls,[L]);
end
end
A=ones(nel)
# ---- NUMBER THE EQUATIONS ---------------------------------------------
# line 380
id,neq = number_eq(idb,ndf,nnp);
# ---- FORM THE ELEMENT STIFFNESS MATRICES ------------------------------
# line 324
nee = ndf*nen; # number of element equations
Ke = zeros(nee,nee,nel);
# Te = zeros(nen*1,nen*nsd,nel); # *1 is specific to frame
Te = zeros(nee,nee,nel); # *1 is specific to frame
for i = 1:nel
Ke[:,:,i],Te[:,:,i] = Ke_frame(A[i],E[i],ien[:,i],nee,nsd,xn);
end
return E,f,g,idb,ien,ndf,nel,nen,nnp,nsd,xn,len,Ke,Te,Ls
end
# =======================================================================
function getSensitivites(Ke0,dcomp,ien,nel,len,λ)
dfdA=zeros(nel)
dgdA=zeros(nel)
for i in 1:nel
de=[dcomp[1,Int(ien[1,i])] ,dcomp[2,Int(ien[1,i])], dcomp[3,Int(ien[1,i])],dcomp[4,Int(ien[1,i])] ,dcomp[5,Int(ien[1,i])], dcomp[6,Int(ien[1,i])],
dcomp[1,Int(ien[2,i])] ,dcomp[2,Int(ien[2,i])] ,dcomp[3,Int(ien[2,i])],dcomp[4,Int(ien[2,i])] ,dcomp[5,Int(ien[2,i])] ,dcomp[6,Int(ien[2,i])]
];
# de=[dcomp[1,Int(ien[1,i])],dcomp[2,Int(ien[1,i])],dcomp[3,Int(ien[1,i])] ,dcomp[1,Int(ien[2,i])] ,dcomp[2,Int(ien[2,i])] ,dcomp[3,Int(ien[2,i])]]
λe=[λ[1,Int(ien[1,i])], λ[2,Int(ien[1,i])],λ[3,Int(ien[1,i])],λ[4,Int(ien[1,i])], λ[5,Int(ien[1,i])],λ[6,Int(ien[1,i])],
λ[1,Int(ien[2,i])] ,λ[2,Int(ien[2,i])],λ[3,Int(ien[2,i])],λ[4,Int(ien[2,i])] ,λ[5,Int(ien[2,i])],λ[6,Int(ien[2,i])]
]
# println(de)
# println(Ke0[:,:,i])
dKedA=Ke0[:,:,i]
dgdA[i]=(-1.0 .*λe)'*dKedA*de
dfdA[i]=len[i]
end
return dfdA,dgdA
end
# =======================================================================
function getAdjoint(K,dcomp,L,free)
L1=L[free]
λ1=K\L1[:]
λ=zeros(size(dcomp))
λ[free].=reshape(λ1,size(L1))
return λ,L1,λ1
end
# =======================================================================
function getSensitivitesSIMP(Ke0,dcomp,ien,nel,len,λ,η,X)
dfdA=zeros(nel)
dgdA=zeros(nel)
for i in 1:nel
de=[dcomp[1,Int(ien[1,i])] ,dcomp[2,Int(ien[1,i])], dcomp[3,Int(ien[1,i])],dcomp[4,Int(ien[1,i])] ,dcomp[5,Int(ien[1,i])], dcomp[6,Int(ien[1,i])],
dcomp[1,Int(ien[2,i])] ,dcomp[2,Int(ien[2,i])] ,dcomp[3,Int(ien[2,i])],dcomp[4,Int(ien[2,i])] ,dcomp[5,Int(ien[2,i])] ,dcomp[6,Int(ien[2,i])]
];
# de=[dcomp[1,Int(ien[1,i])],dcomp[2,Int(ien[1,i])],dcomp[3,Int(ien[1,i])] ,dcomp[1,Int(ien[2,i])] ,dcomp[2,Int(ien[2,i])] ,dcomp[3,Int(ien[2,i])]]
λe=[λ[1,Int(ien[1,i])], λ[2,Int(ien[1,i])],λ[3,Int(ien[1,i])],λ[4,Int(ien[1,i])], λ[5,Int(ien[1,i])],λ[6,Int(ien[1,i])],
λ[1,Int(ien[2,i])] ,λ[2,Int(ien[2,i])],λ[3,Int(ien[2,i])],λ[4,Int(ien[2,i])] ,λ[5,Int(ien[2,i])],λ[6,Int(ien[2,i])]
]
# println(de)
# println(Ke0[:,:,i])
dKedA=Ke0[:,:,i].*(η).*X[i]^(η-1)
dgdA[i]=(-1.0 .*λe)'*dKedA*de
dfdA[i]=len[i]
end
return dfdA,dgdA
end
# =======================================================================
function optimizeCompliantMechanism1(problem,Ls,free,dmax,totalVolFactor,maxeval=500)
E,f,g,idb,ien,ndf,nel,nen,nnp,nsd,xn,len,Ke,Te=problem
nel=length(len)
function FA(x::Vector, grad::Vector)
K,F,d,stress,dcomp,g=FEM_frame(problem,x);
λ,L1,λ1=getAdjoint(copy(K),copy(dcomp),copy(Ls[1]),copy(free))
grad[:] .=getSensitivites(Ke,dcomp,ien,nel,len,copy(λ))[2]
# g=(L1[:]'*d)[1] .- dmax - (λ1'*(K*d -F))[1]
goal=L1[:]'*d -λ1'*K*d +λ1'*F .-dmax
# display(goal )
# display(sum(x) )
return goal[1]
end
function GA(x::Vector, grad::Vector)
grad[:] .=len[:]
return (sum(x .* len )) - totalVolFactor
end
FA(ones(nel), fill(0.25,nel))
GA(ones(nel), fill(0.25,nel))
opt = Opt(:LD_MMA, nel)
opt.lower_bounds = fill(1e-3,nel)
opt.xtol_rel = 1e-6
opt.maxeval = maxeval
opt.min_objective = FA
inequality_constraint!(opt, (x,gg) -> GA(x,gg), 1e-6)
display(@time (minf,minx,ret) = optimize(opt, ones(nel)))
numevals = opt.numevals # the number of function evaluations
display("got $minf after $numevals iterations (returned $ret)")
return minx
end
# =======================================================================
function optimizeCompliantMechanism(problem,Ls,free,dmax,maxeval=500)
E,f,g,idb,ien,ndf,nel,nen,nnp,nsd,xn,len,Ke,Te=problem
nel=length(len)
η=5.0
function GA(x::Vector, grad::Vector,num::Int)
K,F,d,stress,dcomp,g=FEM_frame(problem,x);
λ,L1,λ1=getAdjoint(copy(K),copy(dcomp),copy(Ls[num]),copy(free))
grad[:] .=getSensitivites(Ke,dcomp,ien,nel,len,copy(λ))[2]
# g=(L1[:]'*d)[1] .- dmax - (λ1'*(K*d -F))[1]
goal=L1[:]'*d -λ1'*K*d +λ1'*F .-dmax
# display(goal )
# display(sum(x) )
return goal[1]
end
function GASIMP(x::Vector, grad::Vector,num::Int)
K,F,d,stress,dcomp,g=FEM_frame(problem,x.^η);
λ,L1,λ1=getAdjoint(copy(K),copy(dcomp),copy(Ls[num]),copy(free))
grad[:] .=getSensitivitesSIMP(Ke,dcomp,ien,nel,len,copy(λ),η,x)[2]
# g=(L1[:]'*d)[1] .- dmax - (λ1'*(K*d -F))[1]
goal=L1[:]'*d -λ1'*K*d +λ1'*F .-dmax
# display(goal )
# display(sum(x) )
return goal[1]
end
function FA(x::Vector, grad::Vector)
grad[:] .=len[:]
return (sum(x .* len ))
end
function FASIMP(x::Vector, grad::Vector)
grad[:] .=len[:]
return (sum(x.^η .* len ))
end
opt = Opt(:LD_MMA, nel)
opt.lower_bounds = fill(1e-3,nel)
opt.xtol_rel = 1e-6
opt.maxeval = maxeval
opt.min_objective = FA
# println(size(Ls)[1])
for i =1:size(Ls)[1]
inequality_constraint!(opt, (x,gg) -> GASIMP(x,gg,i), 1e-6)
end
display(@time (minf,minx,ret) = optimize(opt, ones(nel).*0.5))
numevals = opt.numevals # the number of function evaluations
display("got $minf after $numevals iterations (returned $ret)")
return minx
end
# =======================================================================
function simulateAndExport(setup,X,dcomp,fileName,threshold)
nodes=setup["nodes"]
edges=setup["edges"]
nodesNew=[]
edgesNew=[]
nel = length(edges); # number of elements
nnp = length(nodes); # number of nodal points
for i in 1:nnp
nodes[i]["in"]=false
nodes[i]["displacement"]["x"]=dcomp[1,i];
nodes[i]["displacement"]["y"]=dcomp[2,i];
nodes[i]["displacement"]["z"]=dcomp[3,i];
end
idCount=0
for i in 1:nel
if X[i]>threshold
if (!nodes[(edges[i]["source"]+1)]["in"])
nodes[(edges[i]["source"]+1)]["in"]=true
nodes[(edges[i]["source"]+1)]["id"]="n$(idCount)"
nodes[(edges[i]["source"]+1)]["idd"]=idCount
append!(nodesNew,[nodes[(edges[i]["source"]+1)]])
id1=idCount
idCount=idCount+1
else
id1=nodes[(edges[i]["source"]+1)]["idd"]
end
if (!nodes[(edges[i]["target"]+1)]["in"])
nodes[(edges[i]["target"]+1)]["in"]=true
nodes[(edges[i]["target"]+1)]["id"]="n$(idCount)"
nodes[(edges[i]["target"]+1)]["idd"]=idCount
append!(nodesNew,[nodes[(edges[i]["target"]+1)]])
id2=idCount
idCount=idCount+1
else
id2=nodes[(edges[i]["target"]+1)]["idd"]
end
edges[i]["source"]=id1
edges[i]["target"]=id2
append!(edgesNew,[edges[i]])
end
end
setup["nodes"]=nodesNew;
setup["edges"]=edgesNew;
stringdata = JSON.json(setup)# pass data as a json string (how it shall be displayed in a file)
# write the file with the stringdata variable information
open(fileName, "w") do f
write(f, stringdata)
end
# E,f,g,idb,ien,ndf,nel,nen,nnp,nsd,xn,len,Ke,Te,Ls=getDataFromSetup3D(setup,scale);
# problem1=E,f,g,idb,ien,ndf,nel,nen,nnp,nsd,xn,len,Ke,Te;
# nel=length(edgesNew)
# display(a)
# X=ones(nel)
# K,F,d,stress,dcomp,g=FEM_frame(problem1,X);
# display(dcomp)
# display(plotTrussDeformed3D(problem1,copy(X),scale,0.1,1))
end