calculate stress fields and store to xdmf

This commit is contained in:
Jukka Aho
2016-11-22 10:48:43 +02:00
parent f4fce61d36
commit 60c4e0966b
+71 -1
View File
@@ -98,5 +98,75 @@ isfile("results.xmf") && rm("results.xmf")
solver = Solver(Linear, beam, load)
solver.xdmf = Xdmf("results")
solver()
close(get(solver.xdmf).hdf)
# calculate stresses in integration points and use least-squares fitting to move results to nodes
function get_stress(element, ip, time)
haskey(element, "displacement") || return nothing
gradu = element("displacement", ip, time, Val{:Grad})
eps = 0.5*(gradu' + gradu)
E = element("youngs modulus", ip, time)
nu = element("poissons ratio", ip, time)
mu = E/(2.0*(1.0+nu))
la = E*nu/((1.0+nu)*(1.0-2.0*nu))
S = la*trace(eps)*I + 2.0*mu*eps
return [S[1,1], S[2,2], S[3,3], S[1,2], S[2,3], S[1,3]]
end
function lsq_fit(elements, field)
A = SparseMatrixCOO()
b = SparseMatrixCOO()
for element in elements
gdofs = get_connectivity(element)
for ip in get_integration_points(element)
detJ = element(ip, time, Val{:detJ})
w = ip.weight*detJ
N = element(ip, time)
f = field(element, ip, time)
add!(A, gdofs, gdofs, w*kron(N', N))
for i=1:length(f)
add!(b, gdofs, w*f[i]*N, i)
end
end
end
A = sparse(A)
b = sparse(b)
A = 1/2*(A + A')
nz = get_nonzero_rows(A)
F = ldltfact(A[nz,nz])
x = zeros(size(b)...)
x[nz, :] = F \ b[nz, :]
nodal_values = Dict(i => vec(x[i,:]) for i=1:size(x,1))
return nodal_values
end
S = lsq_fit(beam.elements, get_stress)
# store values to xml/h5
node_ids = sort(collect(keys(S)))
stress = hcat([S[nid] for nid in node_ids]...)
for (i, nid) in enumerate(node_ids)
println("$nid -> $(S[nid])")
if i > 3
println("...")
break
end
end
using JuliaFEM: new_dataitem, new_child, set_attribute, add_child, save!
xdmf = get(solver.xdmf)
dataitem = new_dataitem(xdmf, "/Results/Time $(solver.time)/Nodal Fields/Stress", stress)
frame = read(xdmf, "/Domain/Grid/Grid")
attribute = new_child(frame, "Attribute")
set_attribute(attribute, "Name", "Stress")
set_attribute(attribute, "Center", "Node")
set_attribute(attribute, "AttributeType", "Tensor6")
add_child(attribute, dataitem)
save!(xdmf)
close(xdmf.hdf)