added sparse assembly

This commit is contained in:
Jukka Aho
2015-06-23 23:22:39 +03:00
parent cbb1243c84
commit f5c950540f
2 changed files with 153 additions and 4 deletions
+82
View File
@@ -1,6 +1,9 @@
# This file is a part of JuliaFEM. License is MIT: https://github.com/ovainola/JuliaFEM/blob/master/README.md
module elasticity_solver
using Logging
@Logging.configure(level=DEBUG)
VERSION < v"0.4-" && using Docile
export solve_elasticity_interface!
@@ -69,6 +72,85 @@ function calc_local_matrices!(X, u, R, Kt, N, dNdξ, λ_, μ_, ipoints, iweights
end
@doc """
Assemble global stiffness matrix to I,J,V ready for sparse format
Parameters
----------
ke : local matrix
eldofs_ : Array
degrees of freedom
I,J,V : Arrays for sparse matrix
Notes
-----
eldofs can also be node ids for convenience. In that case dimension
is calculated and eldofs are "extended" to problem dimension.
""" ->
function assemble!(ke, eldofs_, I, J, V)
n, m = size(ke)
dim = round(Int, n/length(eldofs_))
@debug("problem dim = ", dim)
if dim == 1
eldofs = eldofs_
else
eldofs = Int64[]
for i in eldofs_
for d in 1:dim
push!(eldofs, dim*(i-1)+d)
end
end
@debug("old eldofs", eldofs_)
@debug("new eldofs", eldofs)
end
for i in 1:n
for j in 1:m
push!(I, eldofs[i])
push!(J, eldofs[j])
push!(V, ke[i,j])
end
end
end
@doc """
Assemble global RHS to I,V ready for sparse format
Parameters
----------
fe : local vector
eldofs_ : Array
degrees of freedom
I,V : Arrays for sparse matrix
Notes
-----
eldofs can also be node ids for convenience. In that case dimension
is calculated and eldofs are "extended" to problem dimension.
""" ->
function assemble!(fe, eldofs_, I, V)
n = length(fe)
dim = round(Int, n/length(eldofs_))
if dim == 1
eldofs = eldofs_
else
eldofs = Int64[]
for i in eldofs_
for d in 1:dim
push!(eldofs, dim*(i-1)+d)
end
end
@debug("old eldofs", eldofs_)
@debug("new eldofs", eldofs)
end
for i in 1:n
push!(I, eldofs[i])
push!(V, fe[i])
end
end
@doc """
Solve one increment of elasticity problem
""" ->
+71 -4
View File
@@ -1,11 +1,11 @@
using JuliaFEM.elasticity_solver
using FactCheck
using Logging
@Logging.configure(level=DEBUG)
using JuliaFEM.elasticity_solver: solve_elasticity_increment!
facts("test solve elasticity increment") do
X = [0 0; 10 0; 10 1; 0 1]'
elmap = [1; 2; 3; 4]
nodalloads = [0 0; 0 0; 0 -2; 0 0]'
@@ -41,8 +41,8 @@ facts("test solve elasticity increment") do
iweights = [1 1 1 1]
for i=1:10
JuliaFEM.elasticity_solver.solve_elasticity_increment!(
X, u, du, R, Kt,elmap, nodalloads, dirichletbc, la, mu, N, dNdξ, ipoints, iweights)
solve_elasticity_increment!(X, u, du, R, Kt,elmap, nodalloads, dirichletbc,
la, mu, N, dNdξ, ipoints, iweights)
@debug("increment:\n",du)
u += du
if norm(du) < 1.0e-9
@@ -52,3 +52,70 @@ facts("test solve elasticity increment") do
@debug("solution\n",u)
@fact u[2, 3] => roughly(-2.222244754401764) # Tested against Elmer solution
end
using JuliaFEM.elasticity_solver: assemble!
facts("test assembly of global matrix for 1 dim/node case") do
I = Int64[]
J = Int64[]
V = Float64[]
ke = [3 1; 1 1]
eldofs = [1, 2]
assemble!(ke, eldofs, I, J, V)
ke = [4 2; 2 3]
eldofs = [2, 4]
assemble!(ke, eldofs, I, J, V)
S = full(sparse(I, J, V))
@fact S => [3.0 1.0 0.0 0.0
1.0 5.0 0.0 2.0
0.0 0.0 0.0 0.0
0.0 2.0 0.0 3.0]
end
facts("test assembly of global vector for 1 dim/node case") do
I = Int64[]
V = Float64[]
fe = [1;2]
eldofs = [1, 2]
assemble!(fe, eldofs, I, V)
fe = [3;1]
eldofs = [2, 4]
assemble!(fe, eldofs, I, V)
S = full(sparsevec(I, V))
@fact S => [1.0 5.0 0.0 1.0]'
end
facts("test assembly of global matrix for 2 dim/node case") do
# provide "convienence" function, if given only nodal connectivity
# automatically find out dimension and "extend" matrix to full
I = Int64[]
J = Int64[]
V = Float64[]
ke = reshape(1:16, 4, 4)
eldofs = [1, 2]
assemble!(ke, eldofs, I, J, V)
eldofs = [2, 3]
assemble!(2*ke, eldofs, I, J, V)
expected = zeros(6, 6)
expected[1:4,1:4] += ke
expected[3:6,3:6] += 2*ke
S = full(sparse(I, J, V))
@fact S => expected
end
facts("test assembly of global vector for 2 dim/node case") do
# provide "convienence" function, if given only nodal connectivity
# automatically find out dimension and "extend" matrix to full
I = Int64[]
J = Int64[]
V = Float64[]
fe = [1, 2, 3, 4]
eldofs = [1, 2]
assemble!(fe, eldofs, I, V)
eldofs = [2, 3]
assemble!(2*fe, eldofs, I, V)
S = full(sparsevec(I, V))
expected = [1.0 2.0 5.0 8.0 6.0 8.0]'
@fact S => expected
end