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JuliaFEM.jl/src/assembly.jl
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2016-02-13 01:08:07 +02:00

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Julia

# This file is a part of JuliaFEM.
# License is MIT: see https://github.com/JuliaFEM/JuliaFEM.jl/blob/master/LICENSE.md
# Functions to handle global assembly of problem
type CAssembly
interior_dofs :: Vector{Int}
boundary_dofs :: Vector{Int}
F :: Union{Factorization, Matrix}
Kc :: SparseMatrixCSC
fc :: SparseMatrixCSC
Kib :: SparseMatrixCSC
fi :: SparseMatrixCSC
end
function optimize!(assembly::Assembly)
optimize!(assembly.mass_matrix)
optimize!(assembly.stiffness_matrix)
optimize!(assembly.force_vector)
end
function append!(assembly::Assembly, sub_assembly::Assembly)
append!(assembly.M, sub_assembly.M)
append!(assembly.K, sub_assembly.K)
append!(assembly.f, sub_assembly.f)
append!(assembly.C1, sub_assembly.C1)
append!(assembly.C2, sub_assembly.C2)
append!(assembly.D, sub_assembly.D)
append!(assembly.g, sub_assembly.g)
append!(assembly.c, sub_assembly.c)
end
function assemble_prehook!
end
function assemble_posthook!
end
function assemble!(problem::Problem, time::Real; empty_assembly::Bool=true)
if method_exists(assemble_prehook!, Tuple{typeof(problem), Real})
assemble_prehook!(problem, time)
end
!problem.assembly.changed && return
empty_assembly && empty!(problem.assembly)
for element in get_elements(problem)
assemble!(problem.assembly, problem, element, time)
end
problem.assembly.changed = true
if method_exists(assemble_posthook!, Tuple{typeof(problem), Real})
assemble_posthook!(problem, time)
end
return problem.assembly
end
""" Calculate reduced stiffness matrix.
mindofs: if dofs < mindofs, do not reduce
"""
function reduce(assembly::Assembly, boundary_dofs_::Vector{Int}, mindofs=100000)
all_dofs = unique(assembly.stiffness_matrix.I)
boundary_dofs = intersect(all_dofs, boundary_dofs_)
interior_dofs = setdiff(all_dofs, boundary_dofs_)
K = sparse(assembly.stiffness_matrix)
f = sparse(assembly.force_vector)
dim = size(K, 1)
# empty assembly to release memory for factorization
empty!(assembly.stiffness_matrix)
empty!(assembly.force_vector)
gc()
if dim < mindofs
# no need to do any reduction of matrix size at all, just \ it.
return CAssembly([], all_dofs, Matrix{Float64}(), K, f, spzeros(0, 0), spzeros(0,1))
end
# check that matrix is symmetric
s = maximum(abs(1/2*(K + K') - K))
@assert s < 1.0e-6
K = 1/2*(K + K')
Kib = K[interior_dofs, boundary_dofs]
Kbb = K[boundary_dofs, boundary_dofs]
fi = f[interior_dofs]
fb = f[boundary_dofs]
F = cholfact(K[interior_dofs, interior_dofs])
K = 0
gc()
if dim < 100000
# for small problems we don't need to care about memory usage
Kd = Kib' * (F \ Kib)
else
# for larger problems calculate schur complement in pieces
nb = length(boundary_dofs)
p = nb > 10 ? round(Int, nb/10) : nb
Kd = zeros(nb, nb)
for bi in 1:nb
mod(bi, p) == 0 && info("Reduction: ", round(Int, bi/nb*100), " % done")
C = full(F \ Kib[:, bi])
for bj in bi:nb
d = Kib[:, bj]
@inbounds Kd[bj,bi] = dot(C[rowvals(d)], nonzeros(d))
end
end
Kd += tril(Kd, -1)'
end
Kc = spzeros(dim, dim)
Kc[boundary_dofs, boundary_dofs] = Kbb - Kd
#= # this is slightly faster but uses more memory
chunks = round(Int, dim/3000)
info("Reduction is done in $chunks chunks.")
nb = length(boundary_dofs)
kk = round(Int, collect(linspace(0, nb, chunks+1)))
sl = [kk[j]+1:kk[j+1] for j=1:length(kk)-1]
Kd = zeros(Float64, nb, nb)
#Kd = SharedArray(Float64, nb, nb)
for (k,sli) in enumerate(sl)
b1 = boundary_dofs[sli]
Sc = F \ Kib[:,sli]
for slj in sl
b2 = boundary_dofs[slj]
#Kc[b2,b1] = Kbb[slj,sli] - Kib[:,slj]'*Sc
Kd[slj, sli] = Kib[:,slj]'*Sc
end
info("Reduction: ", round(k/chunks*100, 0), " % done")
end
Kc = spzeros(dim, dim)
Kc[boundary_dofs, boundary_dofs] = Kbb - Kd
=#
fc = spzeros(dim, 1)
fc[boundary_dofs] = fb - Kib' * (F \ fi)
return CAssembly(interior_dofs, boundary_dofs, F, Kc, fc, Kib, fi)
end
function reconstruct!(ca::CAssembly, x::SparseMatrixCSC)
if isa(ca.F, Factorization)
x[ca.interior_dofs] = ca.F \ (ca.fi - ca.Kib*x[ca.boundary_dofs])
else # normal inverse of matrix
x[ca.interior_dofs] = ca.F * (ca.fi - ca.Kib*x[ca.boundary_dofs])
end
end
function Base.(:+)(ass1::Assembly, ass2::Assembly)
mass_matrix = ass1.mass_matrix + ass2.mass_matrix
stiffness_matrix = ass1.stiffness_matrix + ass2.stiffness_matrix
force_vector = ass1.force_vector + ass2.force_vector
return Assembly(mass_matrix, stiffness_matrix, force_vector)
end