mirror of
https://github.com/JuliaFEM/JuliaFEM.jl.git
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2039 lines
701 KiB
Plaintext
2039 lines
701 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Solving elasticity problems using JuliaFEM\n",
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"\n",
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"Author(s): Jukka Aho\n",
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"\n",
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"**Abstract**: A workflow to solve typical elasticity problem. This document also tries to give some quidelines how to develop JuliaFEM."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Bottom-up design\n",
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"\n",
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"We go piece by piece starting from something simple and going up to more complicated programming model."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"*Design principle 1*: we introduce new ideas using Notebooks."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"*Design principle 2*: we use ``Logging``. Forget ``println``."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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" in depwarn at /Applications/Julia-0.4.0-dev-539c818c4e.app/Contents/Resources/julia/lib/julia/sys.dylib\n",
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" in int32 at deprecated.jl:49\n",
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" in recv at /Users/jukka/.julia/v0.4/ZMQ/src/ZMQ.jl:617\n",
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" in recv_ipython at /Users/jukka/.julia/v0.4/IJulia/src/msg.jl:63\n",
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" in eventloop at /Users/jukka/.julia/v0.4/IJulia/src/IJulia.jl:120\n",
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" in anonymous at task.jl:365\n",
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"while loading /Users/jukka/.julia/v0.4/IJulia/src/kernel.jl, in expression starting on line 35\n",
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"WARNING: int32(x) is deprecated, use Int32(x) instead.\n",
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" in depwarn at /Applications/Julia-0.4.0-dev-539c818c4e.app/Contents/Resources/julia/lib/julia/sys.dylib\n",
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" in int32 at deprecated.jl:49\n",
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" in recv at /Users/jukka/.julia/v0.4/ZMQ/src/ZMQ.jl:617\n",
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" in recv_ipython at /Users/jukka/.julia/v0.4/IJulia/src/msg.jl:63\n",
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" in eventloop at /Users/jukka/.julia/v0.4/IJulia/src/IJulia.jl:120\n",
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" in anonymous at task.jl:365\n",
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"while loading /Users/jukka/.julia/v0.4/IJulia/src/kernel.jl, in expression starting on line 35\n",
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"24-Aug 00:56:48:INFO:root:loading types\n",
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"24-Aug 00:56:48:INFO:root:loading elements\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"Logger(root,DEBUG,Pipe(open, 0 bytes waiting),root)"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"using JuliaFEM\n",
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"using JuliaFEM: Assembly, Element, Quad4, get_integration_points, get_jacobian, get_basis, get_dbasisdxi, get_dbasisdX\n",
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"using Logging\n",
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"Logging.configure(level=DEBUG)"
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]
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},
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{
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||
"cell_type": "markdown",
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||
"metadata": {},
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||
"source": [
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"*Design principle 3*: we write docstrings using [numpy style](https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt).\n",
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"\n",
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"*Design principle 4*: we don't use greek characters in code which is implemented to JuliaFEM. In notebooks they are ok.\n",
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"\n",
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"*Design principle 5*: we use 4 space indentation like in Python."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"First we construct some type for our element which contains all relevant data. We don't care a much how every element is actually implemented as long as it follows some general rules how the interface is constructed. First we define our element family and it's basis functions, derivatives of them etc. These needs to be defined for each element type only once."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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||
"metadata": {
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||
"collapsed": false
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||
},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"get_rhs (generic function with 1 method)"
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]
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},
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||
"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"\"\"\"\n",
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"Integrate f over element using Gaussian quadrature rules.\n",
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"\n",
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"Parameters\n",
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"----------\n",
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"el::Element\n",
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" well defined element\n",
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"f::Function\n",
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" Function to integrate\n",
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"\"\"\"\n",
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"function integrate(el::Element, f::Function)\n",
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" target = []\n",
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" for ip in get_integration_points(el)\n",
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" J = get_jacobian(el, ip.xi)\n",
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" push!(target, ip.weight*f(el, ip)*det(J))\n",
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" end\n",
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" return sum(target)\n",
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"end\n",
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"\n",
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"\"\"\"\n",
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"Return left hand side of the equation Ax = b (i.e. A)\n",
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"\"\"\"\n",
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"function get_lhs(el::Element)\n",
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" return None\n",
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"end\n",
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"\n",
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"\"\"\"\n",
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"Return right hand side of the equation Ax = b (i.e. b)\n",
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"\"\"\"\n",
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"function get_rhs(el::Element)\n",
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" return None\n",
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"end"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Next we define our elements for mechanical problem. Because calculating internal and external energy for several types of elements follow same procedure, we construct whole family of mechanical elements which share common functions."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"#abstract Mechanical <: CG"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"get_field (generic function with 1 method)"
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||
]
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||
},
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||
"execution_count": 4,
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||
"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"\"\"\"\n",
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"(4-node bilinear) plane stress element\n",
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"\"\"\"\n",
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"type CPS4 <: Quad4\n",
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" id :: Int\n",
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" node_ids :: Array{Int, 1}\n",
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" coordinates :: Array{Float64, 2}\n",
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" integration_points :: Array{IntegrationPoint, 1}\n",
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" attributes :: Dict{ASCIIString, Any}\n",
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"end\n",
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"\n",
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"function get_field(el::Quad4)\n",
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" el.attributes[\"displacement\"]\n",
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"end"
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||
]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"metadata": {},
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||
"source": [
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||
"Each element must provide a standard way how it's initialized. For constructor we need only unique element id and it's connectivity data."
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||
]
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||
},
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||
{
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"cell_type": "code",
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"execution_count": 5,
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||
"metadata": {
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||
"collapsed": false
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||
},
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"outputs": [
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||
{
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||
"data": {
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||
"text/plain": [
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||
"CPS4"
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]
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},
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||
"execution_count": 5,
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||
"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"function CPS4(element_id, node_ids)\n",
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" integration_points = [\n",
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" IntegrationPoint(1.0/sqrt(3.0)*[-1, -1], 1.0, Dict()),\n",
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" IntegrationPoint(1.0/sqrt(3.0)*[ 1, -1], 1.0, Dict()),\n",
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" IntegrationPoint(1.0/sqrt(3.0)*[ 1, 1], 1.0, Dict()),\n",
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" IntegrationPoint(1.0/sqrt(3.0)*[-1, 1], 1.0, Dict())]\n",
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" attributes = Dict(\"displacement\" => zeros(2, 4))\n",
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" coordinates = zeros(2, 4)\n",
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" CPS4(element_id, node_ids, coordinates, integration_points, attributes)\n",
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"end"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Here's the actual basic implementation for mechanical elements\n",
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"\n",
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"Our task is: for given $\\mathbf{u}$ calculate $\\mathbf{R}(\\mathbf{u}) = \\mathbf{T}(\\mathbf{u}) - \\mathbf{F}(\\mathbf{u})$ and it's partial derivative with respect to $\\mathbf{u}$, i.e. $\\partial \\mathbf{R}(\\mathbf{u}) / \\partial \\mathbf{u}$. Here is our $\\mathbf{T}$:"
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]
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},
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{
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"cell_type": "code",
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||
"execution_count": 6,
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||
"metadata": {
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||
"collapsed": false
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||
},
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||
"outputs": [
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||
{
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||
"data": {
|
||
"text/plain": [
|
||
"get_lhs (generic function with 2 methods)"
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||
]
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||
},
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||
"execution_count": 6,
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||
"metadata": {},
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||
"output_type": "execute_result"
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||
}
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||
],
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"source": [
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"\"\"\"\n",
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"Calculate internal nodal forces for continuum element.\n",
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"\"\"\"\n",
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"function Wint(el::Quad4)\n",
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"\n",
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" dNdX(xi) = get_dbasisdX(el, xi)\n",
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" # material\n",
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" lambda(xi) = interpolate(el, \"lambda\", xi)\n",
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" mu(xi) = interpolate(el, \"mu\", xi)\n",
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" # kinematics\n",
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" Grad(xi, u) = u*dNdX(xi)\n",
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" F(xi, u) = I + Grad(xi, u)\n",
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" E(xi, u) = 1/2*(Grad(xi, u)' + Grad(xi, u) + Grad(xi, u)'*Grad(xi, u))\n",
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" # constitutive equation\n",
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" S(xi, u) = lambda(xi)*trace(E(xi, u))*I + 2*mu(xi)*E(xi, u)\n",
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" P(xi, u) = F(xi, u)*S(xi, u)\n",
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||
" T(xi, u) = P(xi, u)*dNdX(xi)'\n",
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" integrate(el, (el, ip) -> T(ip.xi, get_field(el)))\n",
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||
"end\n",
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"\n",
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||
"get_rhs(el::Quad4) = -Wint(el) # rhs = -R = -(T-F)\n",
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||
"get_lhs(el::Quad4) = linearize(Wint, \"displacement\")(el)"
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||
]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"metadata": {},
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||
"source": [
|
||
"That was our geometrically nonlinear elasticity solver. Note how we used automatic differentiation to linearize residual vector.\n",
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"\n",
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"*Design principle 6*: we test our code. We use FactCheck for testing."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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||
"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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||
"using FactCheck"
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||
]
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},
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{
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"cell_type": "code",
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||
"execution_count": 8,
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"metadata": {
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||
"collapsed": false
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||
},
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"outputs": [
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||
{
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||
"data": {
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||
"text/plain": [
|
||
"get_test_element (generic function with 1 method)"
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||
]
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||
},
|
||
"execution_count": 8,
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||
"metadata": {},
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"output_type": "execute_result"
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}
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||
],
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||
"source": [
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||
"function get_test_element()\n",
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||
" # set up one linear quadrangle element\n",
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" element_id = 1\n",
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" node_ids = [1, 2, 3, 4]\n",
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" el = CPS4(element_id, node_ids)\n",
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"\n",
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" E = 90.0\n",
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" nu = 0.25\n",
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" mu = E/(2*(1+nu))\n",
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" la = E*nu/((1+nu)*(1-2*nu))\n",
|
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" la = 2*la*mu/(la + 2*mu)\n",
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" X = [0.0 0.0; 10.0 0.0; 10.0 1.0; 0.0 1.0]'\n",
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||
" set_coordinates(el, X)\n",
|
||
" set_material(el, la, mu)\n",
|
||
" return el\n",
|
||
"end"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 9,
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||
"metadata": {
|
||
"collapsed": false,
|
||
"scrolled": false
|
||
},
|
||
"outputs": [
|
||
{
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||
"name": "stdout",
|
||
"output_type": "stream",
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||
"text": [
|
||
"test solve one element model\n"
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||
]
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||
},
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||
{
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||
"name": "stderr",
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||
"output_type": "stream",
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||
"text": [
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||
"24-Aug 00:57:07:DEBUG:root:Iteration 1\n",
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||
"24-Aug 00:57:10:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Iteration 2\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Iteration 3\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Iteration 4\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Iteration 5\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Iteration 6\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:13:DEBUG:root:Converged in 6 iterations.\n",
|
||
"24-Aug 00:57:14:DEBUG:root:solution vector: \n",
|
||
" [0.0 -0.3991450609547433 -0.07228582695592461 0.0\n",
|
||
" 0.0 -2.1779892317073504 -2.222244754401764 0.0]\n",
|
||
"24-Aug 00:57:14:DEBUG:root:norm of u: 3.1292483947150047\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Iteration 1\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Iteration 2\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Iteration 3\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Iteration 4\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:14:DEBUG:root:Iteration 5\n",
|
||
"24-Aug 00:57:15:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:15:DEBUG:root:Iteration 6\n",
|
||
"24-Aug 00:57:15:DEBUG:root:Solving Ax = b\n",
|
||
"24-Aug 00:57:15:DEBUG:root:Converged in 6 iterations.\n",
|
||
"24-Aug 00:57:15:DEBUG:root:solution vector: \n",
|
||
" [0.0 1.2578327758133292 1.5202505368695098 0.0\n",
|
||
" 0.0 -1.8223091343697626 -1.6224781337179326 0.0]\n",
|
||
"24-Aug 00:57:15:DEBUG:root:norm of u: 3.129248394715004\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"2 facts verified.\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"delayed_handler (generic function with 4 methods)"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"facts(\"test solve one element model\") do\n",
|
||
"\n",
|
||
" e = get_test_element()\n",
|
||
" F = [0.0 0.0; 0.0 0.0; 0.0 -2.0; 0.0 0.0]'\n",
|
||
"\n",
|
||
" du = zeros(2, 4)\n",
|
||
"\n",
|
||
" free_dofs = [3, 4, 5, 6]\n",
|
||
" for i=1:10\n",
|
||
" Logging.debug(\"Iteration $i\")\n",
|
||
" b = get_rhs(e)\n",
|
||
" #Logging.debug(\"rhs = $b\")\n",
|
||
" A = get_lhs(e)\n",
|
||
" Logging.debug(\"Solving Ax = b\")\n",
|
||
" du[free_dofs] = A[free_dofs, free_dofs] \\ (b + F)[free_dofs]\n",
|
||
"\n",
|
||
" e.attributes[\"displacement\"] += du\n",
|
||
" if norm(du) < 1.0e-9\n",
|
||
" Logging.debug(\"Converged in $i iterations.\")\n",
|
||
" break\n",
|
||
" end\n",
|
||
" end\n",
|
||
"\n",
|
||
" # Tested against Elmer solution\n",
|
||
" u = e.attributes[\"displacement\"]\n",
|
||
" Logging.debug(\"solution vector: \\n $u\")\n",
|
||
" @fact u[2, 3] --> roughly(-2.222244754401764)\n",
|
||
" norm1 = norm(u)\n",
|
||
" Logging.debug(\"norm of u: $(norm(u))\")\n",
|
||
"\n",
|
||
" # We rotate model a bit and make sure that norm remains same\n",
|
||
" phi = 45/180*pi\n",
|
||
" rmat = [\n",
|
||
" cos(phi) -sin(phi)\n",
|
||
" sin(phi) cos(phi)]\n",
|
||
" set_coordinates(e, rmat*get_coordinates(e))\n",
|
||
" F = rmat*F\n",
|
||
"\n",
|
||
" e.attributes[\"displacement\"] = [0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 0.0]'\n",
|
||
" du = zeros(2, 4)\n",
|
||
" for i=1:10\n",
|
||
" Logging.debug(\"Iteration $i\")\n",
|
||
" A = get_lhs(e)\n",
|
||
" b = get_rhs(e)\n",
|
||
" Logging.debug(\"Solving Ax = b\")\n",
|
||
" du[free_dofs] = A[free_dofs, free_dofs] \\ (b + F)[free_dofs]\n",
|
||
"\n",
|
||
" e.attributes[\"displacement\"] += du\n",
|
||
" if norm(du) < 1.0e-9\n",
|
||
" Logging.debug(\"Converged in $i iterations.\")\n",
|
||
" break\n",
|
||
" end\n",
|
||
" end\n",
|
||
" u = e.attributes[\"displacement\"]\n",
|
||
" Logging.debug(\"solution vector: \\n $u\")\n",
|
||
" Logging.debug(\"norm of u: $(norm(u))\")\n",
|
||
" @fact norm(u) --> roughly(norm1) \n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Assembly procedure is now very general because we always just have to call `get_lhs` and `get_rhs` to get corresponding vectors and matrices from element."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"assemble_rhs! (generic function with 1 method)"
|
||
]
|
||
},
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"function assemble_lhs!(ass::Assembly, el::Element)\n",
|
||
"\n",
|
||
" gdofs = ass.gdofs[el.id]\n",
|
||
"\n",
|
||
" A = get_lhs(el)\n",
|
||
" if !(A == None)\n",
|
||
" ii, jj = size(A)\n",
|
||
" for i=1:ii\n",
|
||
" for j=1:jj\n",
|
||
" push!(ass.I, gdofs[i])\n",
|
||
" push!(ass.J, gdofs[j])\n",
|
||
" push!(ass.A, A[i,j])\n",
|
||
" end\n",
|
||
" end\n",
|
||
" end\n",
|
||
"end\n",
|
||
"\n",
|
||
"function assemble_rhs!(ass::Assembly, el::Element)\n",
|
||
"\n",
|
||
" gdofs = ass.gdofs[el.id]\n",
|
||
" \n",
|
||
" b = get_rhs(el)\n",
|
||
" if !(b == None)\n",
|
||
" for i=1:length(b)\n",
|
||
" push!(ass.i, gdofs[i])\n",
|
||
" push!(ass.b, b[i])\n",
|
||
" end\n",
|
||
" end\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"get_field (generic function with 2 methods)"
|
||
]
|
||
},
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"function update_field(el::Element, du)\n",
|
||
" el.attributes[\"displacement\"][:] += du\n",
|
||
"end\n",
|
||
"function get_field(el::Element)\n",
|
||
" return el.attributes[\"displacement\"]\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"We also need to construct our element in somehow \"standard\" way. My proposal is: element id and node ids (connectivity) information. Of course other fields must also be provided. Here's example for CPS4 element:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Almost done. Also we must define interface how to set coordinates, material properties etc. for element."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"set_attribute (generic function with 1 method)"
|
||
]
|
||
},
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"function set_attribute(el::Element, field, value)\n",
|
||
" el.attributes[field] = value\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"This might look a bit cumbersome at this point, but notice that everything is very general so far. We really don't have to define all this stuff when creating new elements if we follow some general construct. To demonstrate that, we define 0-dimensional \"point force\" element. Keep in mind, we need to have some functions defined how to operate using element, but they are already defined to superclass of element. So we need to only take care of construcor, rhs and (maybe) lhs. "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"using JuliaFEM: CG\n",
|
||
"abstract Point0 <: CG\n",
|
||
"\"\"\"\n",
|
||
"1-node point force element for plane stress problems.\n",
|
||
"\"\"\"\n",
|
||
"type CPS1 <: Point0\n",
|
||
" id :: Int\n",
|
||
" node_ids :: Array{Int, 1}\n",
|
||
" attributes :: Dict{ASCIIString, Any}\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"get_lhs (generic function with 3 methods)"
|
||
]
|
||
},
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"\"\"\"\n",
|
||
"Constructor of CPS1\n",
|
||
"\"\"\"\n",
|
||
"function CPS1(element_id, node_ids)\n",
|
||
" attributes = Dict(\n",
|
||
" \"displacement\" => zeros(2, 1),\n",
|
||
" \"displacement nodal load\" => zeros(2, 1))\n",
|
||
" CPS1(element_id, node_ids, attributes)\n",
|
||
"end\n",
|
||
"function get_rhs(el::CPS1)\n",
|
||
" return el.attributes[\"displacement nodal load\"]\n",
|
||
"end\n",
|
||
"function get_lhs(el::CPS1)\n",
|
||
" return None\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"And that's basically everything needs to be defined. During assembling get_lhs returns nothing and does not assemble anything to stiffness matrix (of course in case of follower point force the direction depents on the normal ..) and get_rhs adds simple point force pointing to some direction."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Time to test again. From last test we know that correct solution is\n",
|
||
"\n",
|
||
" [0.0 -0.39914506095474317 -0.07228582695592449 0.0\n",
|
||
" 0.0 -2.1779892317073504 -2.222244754401764 0.0]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"one element assembly\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"24-Aug 01:06:39:DEBUG:root:Starting iteration 1\n",
|
||
"24-Aug 01:06:39:DEBUG:root:Assembling\n",
|
||
"24-Aug 01:06:39:DEBUG:root:Assembling element 1\n",
|
||
"24-Aug 01:06:39:DEBUG:root:Assembling element 2\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Solution norm = 3.0900221367289986\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Starting iteration 2\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 1\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 2\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Solution norm = 0.3212131602153472\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Starting iteration 3\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 1\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 2\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Solution norm = 0.04043178193999703\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Starting iteration 4\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 1\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 2\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Solution norm = 0.0009291101052105739\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Starting iteration 5\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 1\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 2\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Solution norm = 1.5638899027804743e-7\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Starting iteration 6\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 1\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Assembling element 2\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Solution norm = 1.0464940956129567e-14\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Converged in 6 iterations.\n",
|
||
"24-Aug 01:06:40:DEBUG:root:Displacement of element = \n",
|
||
"[0.0 -0.39914506095474334 -0.0722858269559246 0.0\n",
|
||
" 0.0 -2.1779892317073504 -2.222244754401764 0.0]\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"1 fact verified.\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"delayed_handler (generic function with 4 methods)"
|
||
]
|
||
},
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"facts(\"one element assembly\") do\n",
|
||
" # set up element 1\n",
|
||
" element_id = 1\n",
|
||
" node_ids = [1, 2, 3, 4]\n",
|
||
" el1 = CPS4(element_id, node_ids)\n",
|
||
" # assign properties to element, e.g. coordinates, material properties, ...\n",
|
||
" E = 90.0\n",
|
||
" nu = 0.25\n",
|
||
" mu = E/(2*(1+nu))\n",
|
||
" la = E*nu/((1+nu)*(1-2*nu))\n",
|
||
" la = 2*la*mu/(la + 2*mu)\n",
|
||
" set_coordinates(el1, [0.0 0.0; 10.0 0.0; 10.0 1.0; 0.0 1.0]')\n",
|
||
" set_attribute(el1, \"lambda\", la)\n",
|
||
" set_attribute(el1, \"mu\", mu)\n",
|
||
"\n",
|
||
" # set up element 2\n",
|
||
" el2 = CPS1(2, [3]) # Create nodal point force element with id 2 for node 3\n",
|
||
" set_attribute(el2, \"displacement nodal load\", [0.0, -2.0])\n",
|
||
"\n",
|
||
" elements = [el1, el2]\n",
|
||
"\n",
|
||
" for i=1:10\n",
|
||
" Logging.debug(\"Starting iteration $i\")\n",
|
||
" Logging.debug(\"Assembling\")\n",
|
||
" ass = Assembly()\n",
|
||
" ass.gdofs[el1.id] = [1, 2, 3, 4, 5, 6, 7, 8]\n",
|
||
" ass.gdofs[el2.id] = [5, 6]\n",
|
||
"\n",
|
||
" for (j, el) in enumerate(elements)\n",
|
||
" Logging.debug(\"Assembling element $j\")\n",
|
||
" assemble_lhs!(ass, el)\n",
|
||
" assemble_rhs!(ass, el)\n",
|
||
" end\n",
|
||
"\n",
|
||
" # (Dirichlet) boundary conditions \"handled\"\n",
|
||
" free_dofs = [3, 4, 5, 6]\n",
|
||
"\n",
|
||
" # solution\n",
|
||
" A = sparse(ass.I, ass.J, ass.A)\n",
|
||
" b = full(sparsevec(ass.i, ass.b))\n",
|
||
" du = zeros(8)\n",
|
||
" du[free_dofs] = A[free_dofs, free_dofs] \\ b[free_dofs]\n",
|
||
"\n",
|
||
" Logging.debug(\"Solution norm = $(norm(du))\")\n",
|
||
"\n",
|
||
" # update solution back to elements\n",
|
||
" for el in elements\n",
|
||
" eldu = du[ass.gdofs[el.id]]\n",
|
||
" update_field(el, eldu)\n",
|
||
" end\n",
|
||
" if norm(du) < 1.0e-9\n",
|
||
" Logging.debug(\"Converged in $i iterations.\")\n",
|
||
" break\n",
|
||
" end\n",
|
||
" end \n",
|
||
" disp = get_field(el1)\n",
|
||
" Logging.debug(\"Displacement of element = \\n$disp\")\n",
|
||
" @fact norm(disp) --> roughly(3.1292483947150043)\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Seems to be working. But we still need to handle Dirichlet boundary conditions somewhat more generally. In very general form Dirichlet bc can be expressed as $\\mathbf{B}\\mathbf{u} = \\mathbf{d}$ for variational problem and $\\mathbf{B}\\mathbf{u} \\leq \\mathbf{d}$ for variational inequality problems. In contact mechanics typically nodes are divided to several sets, one with slave nodes (can be eliminated), master nodes, and all other nodes. $\\mathbf{B}$ is usually something $\\mathbf{B}=\\begin{bmatrix}\\mathbf{0} & \\mathbf{D} & -\\mathbf{M}\\end{bmatrix}^\\mathrm{T}$. In normal Dirichlet boundary condition this simplifies to something $\\mathbf{D}\\mathbf{d}_\\mathcal{S} = \\mathbf{0}$, where nodes in set $\\mathcal{S}$ are known to be slave nodes. Finally, contact is nothing more than multi point constraint. Dirichlet boundary conditions can be easily eliminated if $\\mathbf{D}$ is diagonal: $\\mathbf{D}\\mathbf{d}_\\mathcal{S} = \\mathbf{M}\\mathbf{d}_\\mathcal{M} \\Rightarrow \\mathbf{d}_\\mathcal{S} = \\mathbf{D}^{-1}\\mathbf{M}\\mathbf{d}_\\mathcal{M} = \\mathbf{P}\\mathbf{d}_\\mathcal{M}$."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"abstract BoundaryCondition\n",
|
||
"abstract DirichletBC <: BoundaryCondition\n",
|
||
"\n",
|
||
"type MPC <: DirichletBC\n",
|
||
" slave_dof :: Int64\n",
|
||
" slave_value :: Float64\n",
|
||
" master_dofs :: Array{Int64, 1}\n",
|
||
" master_values :: Array{Float64, 1}\n",
|
||
" constant :: Float64\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"MPC"
|
||
]
|
||
},
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"\"\"\"\n",
|
||
"Convenient function, to set some dof=0\n",
|
||
"\"\"\"\n",
|
||
"function MPC(dof)\n",
|
||
" MPC(dof, 1.0, Int64[], Float64[], 0.0)\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"create_ldof2gdofmap (generic function with 1 method)"
|
||
]
|
||
},
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"\"\"\"\n",
|
||
"Create local dof to global dof mapping for given elements\n",
|
||
"\"\"\"\n",
|
||
"function create_ldof2gdofmap(elements, field)\n",
|
||
"\n",
|
||
" ndofs = size(elements[1].attributes[field], 1)\n",
|
||
" \n",
|
||
" all_node_ids = Int64[]\n",
|
||
" for el in elements\n",
|
||
" for nid in el.node_ids\n",
|
||
" push!(all_node_ids, nid)\n",
|
||
" end\n",
|
||
" end\n",
|
||
" all_node_ids = unique(all_node_ids)\n",
|
||
"\n",
|
||
" # Assign global dof for each node\n",
|
||
" pdim = 1\n",
|
||
" ngdofs = Dict{Int64, Array{Int64,1}}()\n",
|
||
" for nid in all_node_ids\n",
|
||
" ngdofs[nid] = collect(pdim:pdim+ndofs-1)\n",
|
||
" pdim += ndofs\n",
|
||
" end\n",
|
||
"\n",
|
||
" return ngdofs\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Next, we want to solve a _problem_. It's yet another container and if it's defined somewhat standard way default solver can solve it. Nothing stops user to write his/hers own solver."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": true
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"type SolverParameters\n",
|
||
" max_iterations :: Int64\n",
|
||
" eps :: Float64\n",
|
||
"end\n",
|
||
"SolverParameters() = SolverParameters(10, 0.05)\n",
|
||
"\n",
|
||
"abstract Problem\n",
|
||
"abstract ElasticityProblem <: Problem\n",
|
||
"type PlaneStressProblem <: ElasticityProblem\n",
|
||
" elements :: Array{Element, 1}\n",
|
||
" dofmap :: Dict{Int64, Array{Int64,1}}() # a dict node_id : (dof1, dof2, ...)\n",
|
||
" dirichlet_bcs :: Array{BoundaryCondition, 1}\n",
|
||
" solver_parameters :: SolverParameters\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {
|
||
"collapsed": false,
|
||
"scrolled": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"solve one element problem\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"24-Aug 01:07:29:DEBUG:root:Dict(4=>[7,8],2=>[3,4],3=>[5,6],1=>[1,2])\n",
|
||
"24-Aug 01:07:29:INFO:root:solve!: dofs per node: 2\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Problem size = 8\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Starting iteration 1\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Assembling lhs\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Assembling rhs\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Added 4 Lagrange multipliers to model\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Solving system of equations. Total size = 12\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Solution norm du = 3.0900221367289444\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Starting iteration 2\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Assembling lhs\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Assembling rhs\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Added 4 Lagrange multipliers to model\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Solving system of equations. Total size = 12\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Solution norm du = 0.32121316021534796\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Starting iteration 3\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Assembling lhs\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Assembling rhs\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Added 4 Lagrange multipliers to model\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Solving system of equations. Total size = 12\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Solution norm du = 0.040431781940014504\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Starting iteration 4\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Assembling lhs\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Assembling rhs\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Added 4 Lagrange multipliers to model\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Solving system of equations. Total size = 12\n",
|
||
"24-Aug 01:07:29:DEBUG:root:Solution norm du = 0.0009291101052065917\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Starting iteration 5\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Assembling lhs\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Assembling rhs\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Added 4 Lagrange multipliers to model\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Solving system of equations. Total size = 12\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Solution norm du = 1.5638899136781228e-7\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Starting iteration 6\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Assembling lhs\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Assembling rhs\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Added 4 Lagrange multipliers to model\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Solving system of equations. Total size = 12\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Solution norm du = 1.0913504694802626e-14\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Converged in 6 iterations.\n",
|
||
"24-Aug 01:07:30:DEBUG:root:Displacement on upper right = \n",
|
||
"[-0.07228582695592467\n",
|
||
" -2.222244754401765]\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"1 fact verified.\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"delayed_handler (generic function with 4 methods)"
|
||
]
|
||
},
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"function solve!(elements, dofmap, dirichlet_bcs; ndofs=2, max_iterations=10)\n",
|
||
"\n",
|
||
" Logging.info(\"solve!: dofs per node: $ndofs\")\n",
|
||
" pdim = length(dofmap)*ndofs\n",
|
||
" Logging.debug(\"Problem size = $pdim\")\n",
|
||
"\n",
|
||
" # Assign global dofs for element ids\n",
|
||
" gdofs = Dict{Int64, Array{Int64,1}}()\n",
|
||
" for el in elements\n",
|
||
" gdofs[el.id] = Int64[]\n",
|
||
" for nid in el.node_ids\n",
|
||
" for ndof in dofmap[nid]\n",
|
||
" push!(gdofs[el.id], ndof)\n",
|
||
" end\n",
|
||
" end\n",
|
||
" end\n",
|
||
"\n",
|
||
" for iter=1:max_iterations\n",
|
||
" Logging.debug(\"Starting iteration $iter\")\n",
|
||
" ass = JuliaFEM.Assembly(gdofs)\n",
|
||
"\n",
|
||
" Logging.debug(\"Assembling lhs\")\n",
|
||
" for el in elements\n",
|
||
" assemble_lhs!(ass, el)\n",
|
||
" end\n",
|
||
" Logging.debug(\"Assembling rhs\")\n",
|
||
" for el in elements\n",
|
||
" assemble_rhs!(ass, el)\n",
|
||
" end\n",
|
||
"\n",
|
||
" i = 0\n",
|
||
" Logging.debug(\"Adding Dirichlet boundary conditions using Lagrange multipliers\")\n",
|
||
" # Dirichlet boundary conditions (this leads to a saddle point problem)\n",
|
||
" for bc in dirichlet_bcs\n",
|
||
" i += 1\n",
|
||
" #Logging.debug(\"lock dof $(bc.slave_dof), matrix row $(pdim+i)\")\n",
|
||
" push!(ass.I, bc.slave_dof)\n",
|
||
" push!(ass.J, pdim+i)\n",
|
||
" push!(ass.A, bc.slave_value)\n",
|
||
" push!(ass.I, pdim+i)\n",
|
||
" push!(ass.J, bc.slave_dof)\n",
|
||
" push!(ass.A, bc.slave_value)\n",
|
||
" push!(ass.i, pdim+i)\n",
|
||
" push!(ass.b, bc.constant)\n",
|
||
" end\n",
|
||
" Logging.debug(\"Added $i Lagrange multipliers to model\")\n",
|
||
" Logging.debug(\"Solving system of equations. Total size = $(pdim+i)\")\n",
|
||
"\n",
|
||
" # solution\n",
|
||
" A = sparse(ass.I, ass.J, ass.A)\n",
|
||
" b = full(sparsevec(ass.i, ass.b))\n",
|
||
" du = A \\ b\n",
|
||
"\n",
|
||
" solnorm = norm(du[1:pdim])\n",
|
||
" Logging.debug(\"Solution norm du = $solnorm\")\n",
|
||
"\n",
|
||
" # update solution back to elements\n",
|
||
" for el in elements\n",
|
||
" eldu = du[ass.gdofs[el.id]]\n",
|
||
" update_field(el, eldu)\n",
|
||
"\n",
|
||
" end\n",
|
||
" if solnorm < 1.0e-9\n",
|
||
" Logging.debug(\"Converged in $iter iterations.\")\n",
|
||
" break\n",
|
||
" end\n",
|
||
" end\n",
|
||
"\n",
|
||
"end\n",
|
||
"\n",
|
||
"ENV[\"COLUMNS\"] = 160\n",
|
||
"\n",
|
||
"facts(\"solve one element problem\") do\n",
|
||
"\n",
|
||
" # set up element 1\n",
|
||
" element_id = 1\n",
|
||
" node_ids = [1, 2, 3, 4]\n",
|
||
" el1 = CPS4(element_id, node_ids)\n",
|
||
" # assign properties to element, e.g. coordinates, material properties, ...\n",
|
||
" E = 90.0\n",
|
||
" nu = 0.25\n",
|
||
" mu = E/(2*(1+nu))\n",
|
||
" la = E*nu/((1+nu)*(1-2*nu))\n",
|
||
" la = 2*la*mu/(la + 2*mu)\n",
|
||
" set_coordinates(el1, [0.0 0.0; 10.0 0.0; 10.0 1.0; 0.0 1.0]')\n",
|
||
" set_attribute(el1, \"lambda\", la)\n",
|
||
" set_attribute(el1, \"mu\", mu)\n",
|
||
"\n",
|
||
" # set up element 2\n",
|
||
" el2 = CPS1(2, [3]) # Create nodal point force element with id 2 for node 3\n",
|
||
" set_attribute(el2, \"displacement nodal load\", [0.0, -2.0])\n",
|
||
"\n",
|
||
" elements = [el1, el2]\n",
|
||
"\n",
|
||
" dofmap = create_ldof2gdofmap(elements, \"displacement\")\n",
|
||
" Logging.debug(dofmap)\n",
|
||
" # Boundary conditions\n",
|
||
" # dirichlet bc, set dx=dy=0 on support\n",
|
||
" mpc1 = MPC(dofmap[1][1]) # node 1, dx=0\n",
|
||
" mpc2 = MPC(dofmap[1][2]) # node 1, dy\n",
|
||
" mpc3 = MPC(dofmap[4][1]) # node 4, dx\n",
|
||
" mpc4 = MPC(dofmap[4][2]) # node 4, dy\n",
|
||
" dbcs = [mpc1, mpc2, mpc3, mpc4]\n",
|
||
" #bc2 = BC([dofmap[1][1], dofmap[1][2], dofmap[4][1], dofmap[4][2]], [0.0, 0.0, 0.0, 0.0])\n",
|
||
" solve!(elements, dofmap, dbcs; max_iterations=10)\n",
|
||
" Logging.debug(\"Displacement on upper right = \\n$(get_field(el2))\")\n",
|
||
" disp = get_field(el1)\n",
|
||
" @fact norm(disp) --> roughly(3.1292483947150043)\n",
|
||
"end\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# 3d simulation\n",
|
||
"\n",
|
||
"We create a new C3D10 element and solve 3d problem."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"24-Aug 01:07:34:INFO:root:Registered handlers: Any[\"ELEMENT\",\"NODE\",\"NSET\"]\n",
|
||
"24-Aug 01:07:34:DEBUG:root:Found NODE section\n",
|
||
"24-Aug 01:07:35:DEBUG:root:Found ELEMENT section\n",
|
||
"24-Aug 01:07:35:DEBUG:root:120 elements found\n",
|
||
"24-Aug 01:07:35:INFO:root:Creating ELSET Body1\n",
|
||
"24-Aug 01:07:35:DEBUG:root:Found NSET section\n",
|
||
"24-Aug 01:07:35:DEBUG:root:Creating node set SUPPORT\n",
|
||
"24-Aug 01:07:35:DEBUG:root:Found NSET section\n",
|
||
"24-Aug 01:07:35:DEBUG:root:Creating node set LOAD\n",
|
||
"24-Aug 01:07:35:DEBUG:root:Found NSET section\n",
|
||
"24-Aug 01:07:35:DEBUG:root:Creating node set TOP\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Dict{Any,Any} with 4 entries:\n",
|
||
" \"nodes\" => Dict{Any,Any}(288=>[97.5,7.5,10.0],11=>[92.5,2.5,5.0],134=>[45.0,10.0,0.0],158=>[2.5,2.5,0.0],160=>[7.5,7.5,0.0],215=>[60.0,0.0,5.0],29=>[2.5,7…\n",
|
||
" \"elements\" => Dict{Any,Any}(68=>[71,144,149,198,51,150,57,43,50,214],2=>[204,199,175,130,207,208,209,3,4,176],89=>[95,78,104,52,127,126,106,60,68,67],11=>[15…\n",
|
||
" \"elsets\" => Dict{Any,Any}(\"Body1\"=>[1,2,3,4,5,6,7,8,9,10 … 111,112,113,114,115,116,117,118,119,120])\n",
|
||
" \"nsets\" => Dict{Any,Any}(\"LOAD\"=>[82,84,87,179,197,246,249,256,257],\"SUPPORT\"=>[108,109,111,155,162,216,225,281,298],\"TOP\"=>[70,75,76,84,88,90,95,96,98,10…"
|
||
]
|
||
},
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"fid = open(\"../geometry/3d_beam/palkki.inp\")\n",
|
||
"model = JuliaFEM.parse_abaqus(fid)\n",
|
||
"close(fid)\n",
|
||
"model"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {
|
||
"collapsed": true
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"abstract Tet10 <: CG\n",
|
||
"\n",
|
||
"\"\"\"\n",
|
||
"Stress/displacement elements. 10-node quadratic tetrahedron.\n",
|
||
"\"\"\"\n",
|
||
"type C3D10 <: Tet10\n",
|
||
" id :: Int\n",
|
||
" node_ids :: Array{Int, 1}\n",
|
||
" coordinates :: Array{Float64, 2}\n",
|
||
" integration_points :: Array{IntegrationPoint, 1}\n",
|
||
" attributes :: Dict{ASCIIString, Any}\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"C3D10"
|
||
]
|
||
},
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"function C3D10(element_id, node_ids)\n",
|
||
"\n",
|
||
" # Construct Lagrange basis\n",
|
||
" \n",
|
||
" P(xi) = [\n",
|
||
" 1\n",
|
||
" xi[1]\n",
|
||
" xi[2]\n",
|
||
" xi[3]\n",
|
||
" xi[1]^2\n",
|
||
" xi[2]^2\n",
|
||
" xi[3]^2\n",
|
||
" xi[1]*xi[2]\n",
|
||
" xi[2]*xi[3]\n",
|
||
" xi[3]*xi[1]]\n",
|
||
"\n",
|
||
" dP(xi) = [\n",
|
||
" 0 0 0\n",
|
||
" 1 0 0\n",
|
||
" 0 1 0\n",
|
||
" 0 0 1\n",
|
||
" 2*xi[1] 0 0\n",
|
||
" 0 2*xi[2] 0\n",
|
||
" 0 0 2*xi[3]\n",
|
||
" xi[2] xi[1] 0\n",
|
||
" 0 xi[3] xi[2]\n",
|
||
" xi[3] 0 xi[1]\n",
|
||
" ]\n",
|
||
"\n",
|
||
" X = [\n",
|
||
" 0.0 0.0 0.0\n",
|
||
" 1.0 0.0 0.0\n",
|
||
" 0.0 1.0 0.0\n",
|
||
" 0.0 0.0 1.0\n",
|
||
" 0.5 0.0 0.0\n",
|
||
" 0.5 0.5 0.0\n",
|
||
" 0.0 0.5 0.0\n",
|
||
" 0.0 0.0 0.5\n",
|
||
" 0.5 0.0 0.5\n",
|
||
" 0.0 0.5 0.5]\n",
|
||
"\n",
|
||
" A = zeros(10, 10)\n",
|
||
"\n",
|
||
" for i=1:10\n",
|
||
" A[i,:] = P(X[i,:])\n",
|
||
" end\n",
|
||
"\n",
|
||
" invA = inv(A)\n",
|
||
" basis(xi) = invA'*P(xi)\n",
|
||
" dbasis(xi) = invA'*dP(xi)\n",
|
||
"\n",
|
||
" shape_functions = FunctionSpace(basis, dbasis)\n",
|
||
"\n",
|
||
" a = .585410196624969\n",
|
||
" b = .138196601125011\n",
|
||
" w = .041666666666667\n",
|
||
"\n",
|
||
" integration_points = [\n",
|
||
" JuliaFEM.IntegrationPoint([a, b, b], w, Dict()),\n",
|
||
" JuliaFEM.IntegrationPoint([b, a, b], w, Dict()),\n",
|
||
" JuliaFEM.IntegrationPoint([b, b, a], w, Dict()),\n",
|
||
" JuliaFEM.IntegrationPoint([b, b, b], w, Dict())]\n",
|
||
" \n",
|
||
" attributes = Dict(\"displacement\" => zeros(3, 10))\n",
|
||
"\n",
|
||
" C3D10(element_id, node_ids, shape_functions, integration_points, attributes)\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"get_lhs (generic function with 4 methods)"
|
||
]
|
||
},
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"\"\"\"\n",
|
||
"1-node point force element for 3d elasticity problem.\n",
|
||
"\"\"\"\n",
|
||
"type C3D1 <: ContinuumElement\n",
|
||
" id :: Int\n",
|
||
" node_ids :: Array{Int, 1}\n",
|
||
" attributes :: Dict{ASCIIString, Any}\n",
|
||
"end\n",
|
||
"function C3D1(element_id, node_ids)\n",
|
||
" attributes = Dict(\n",
|
||
" \"displacement\" => zeros(3, 1),\n",
|
||
" \"displacement nodal load\" => zeros(3, 1))\n",
|
||
" C3D1(element_id, node_ids, attributes)\n",
|
||
"end\n",
|
||
"function get_rhs(el::C3D1)\n",
|
||
" return el.attributes[\"displacement nodal load\"]\n",
|
||
"end\n",
|
||
"function get_lhs(el::C3D1)\n",
|
||
" return None\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 40,
|
||
"metadata": {
|
||
"collapsed": false,
|
||
"scrolled": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"22-Aug 21:35:10:DEBUG:root:Creating elements\n",
|
||
"22-Aug 21:35:10:DEBUG:root:Creating elements\n",
|
||
"22-Aug 21:35:10:INFO:root:solve!: dofs per node: 3\n",
|
||
"22-Aug 21:35:10:DEBUG:root:Problem size = 894\n",
|
||
"22-Aug 21:35:10:DEBUG:root:Starting iteration 1\n",
|
||
"22-Aug 21:35:10:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:35:23:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:35:23:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:35:23:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:35:23:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:35:23:DEBUG:root:Solution norm du = 550.6462282437674\n",
|
||
"22-Aug 21:35:23:DEBUG:root:Starting iteration 2\n",
|
||
"22-Aug 21:35:23:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:35:36:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:35:36:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:35:36:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:35:36:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:35:36:DEBUG:root:Solution norm du = 126.14054730775176\n",
|
||
"22-Aug 21:35:36:DEBUG:root:Starting iteration 3\n",
|
||
"22-Aug 21:35:36:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:35:49:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:35:49:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:35:49:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:35:49:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:35:49:DEBUG:root:Solution norm du = 38.949840553368894\n",
|
||
"22-Aug 21:35:49:DEBUG:root:Starting iteration 4\n",
|
||
"22-Aug 21:35:49:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:36:03:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:36:04:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:36:04:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:36:04:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:36:04:DEBUG:root:Solution norm du = 15.167069063650652\n",
|
||
"22-Aug 21:36:04:DEBUG:root:Starting iteration 5\n",
|
||
"22-Aug 21:36:04:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:36:17:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:36:17:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:36:17:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:36:17:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:36:17:DEBUG:root:Solution norm du = 9.516311534304958\n",
|
||
"22-Aug 21:36:17:DEBUG:root:Starting iteration 6\n",
|
||
"22-Aug 21:36:17:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:36:32:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:36:32:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:36:32:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:36:32:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:36:32:DEBUG:root:Solution norm du = 1.6222822043785954\n",
|
||
"22-Aug 21:36:32:DEBUG:root:Starting iteration 7\n",
|
||
"22-Aug 21:36:32:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:36:46:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:36:48:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:36:48:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:36:48:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:36:48:DEBUG:root:Solution norm du = 0.09626397754176579\n",
|
||
"22-Aug 21:36:48:DEBUG:root:Starting iteration 8\n",
|
||
"22-Aug 21:36:48:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:37:07:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:37:07:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:37:07:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:37:07:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:37:07:DEBUG:root:Solution norm du = 0.00026304537198068307\n",
|
||
"22-Aug 21:37:07:DEBUG:root:Starting iteration 9\n",
|
||
"22-Aug 21:37:07:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:37:22:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:37:22:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:37:22:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:37:22:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:37:22:DEBUG:root:Solution norm du = 2.7245126807720425e-9\n",
|
||
"22-Aug 21:37:22:DEBUG:root:Starting iteration 10\n",
|
||
"22-Aug 21:37:22:DEBUG:root:Assembling lhs\n",
|
||
"22-Aug 21:37:35:DEBUG:root:Assembling rhs\n",
|
||
"22-Aug 21:37:35:DEBUG:root:Adding Dirichlet boundary conditions using Lagrange multipliers\n",
|
||
"22-Aug 21:37:35:DEBUG:root:Added 27 Lagrange multipliers to model\n",
|
||
"22-Aug 21:37:35:DEBUG:root:Solving system of equations. Total size = 921\n",
|
||
"22-Aug 21:37:35:DEBUG:root:Solution norm du = 1.0919112177573261e-13\n",
|
||
"22-Aug 21:37:35:DEBUG:root:Converged in 10 iterations.\n",
|
||
"22-Aug 21:37:35:INFO:root:Maximum absolute displacement in y direction: 49.40459927455298\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"function solve_3d_model()\n",
|
||
" Logging.debug(\"Creating elements\")\n",
|
||
" elements = JuliaFEM.Element[]\n",
|
||
" \n",
|
||
" E = 90.0e6\n",
|
||
" nu = 0.3\n",
|
||
" mu = E/(2*(1+nu))\n",
|
||
" la = E*nu/((1+nu)*(1-2*nu))\n",
|
||
" la = 2*la*mu/(la + 2*mu)\n",
|
||
"\n",
|
||
" coordinates = zeros(3, 10)\n",
|
||
"\n",
|
||
" Logging.debug(\"Creating elements\")\n",
|
||
" for (elid, node_ids) in model[\"elements\"]\n",
|
||
" coordinates[:,:] = 0.0\n",
|
||
" for (i, nid) in enumerate(node_ids)\n",
|
||
" coordinates[:,i] = model[\"nodes\"][nid]\n",
|
||
" end\n",
|
||
" el = C3D10(elid, node_ids)\n",
|
||
" set_attribute(el, \"coordinates\", copy(coordinates))\n",
|
||
" set_attribute(el, \"lambda\", la)\n",
|
||
" set_attribute(el, \"mu\", mu)\n",
|
||
" push!(elements, el)\n",
|
||
" end\n",
|
||
"\n",
|
||
" # create \"dofmap\" so that we know how to assemble global stiffness matrix\n",
|
||
" dofmap = create_ldof2gdofmap(elements, \"displacement\")\n",
|
||
"\n",
|
||
" # Boundary conditions\n",
|
||
"\n",
|
||
" # dirichlet bc, set dx=dy=dz=0 for all nodes in set SUPPORT\n",
|
||
" dirichlet_bcs = MPC[]\n",
|
||
" for nid in model[\"nsets\"][\"SUPPORT\"]\n",
|
||
" for i=1:3\n",
|
||
" push!(dirichlet_bcs, MPC(dofmap[nid][i]))\n",
|
||
" end\n",
|
||
" end\n",
|
||
"\n",
|
||
" # force boundary condition, put -1500000 to 2nd dof for each node in set LOAD\n",
|
||
" elcnt = 100000\n",
|
||
" loadvec = [0.0, -1500000.0, 0.0]\n",
|
||
" for nid in model[\"nsets\"][\"LOAD\"]\n",
|
||
" # set up \"point load element\"\n",
|
||
" elcnt += 1\n",
|
||
" el = C3D1(elcnt, [nid])\n",
|
||
" set_attribute(el, \"displacement nodal load\", loadvec)\n",
|
||
" push!(elements, el)\n",
|
||
" end\n",
|
||
"\n",
|
||
" # ndofs = dimension of unknown field in nodes\n",
|
||
" solve!(elements, dofmap, dirichlet_bcs; ndofs=3, max_iterations=10)\n",
|
||
"\n",
|
||
" # Let's pick maximum absolute displacement in y direction\n",
|
||
" maxdisp = 0.0\n",
|
||
" for el in elements\n",
|
||
" eldisp = el.attributes[\"displacement\"]\n",
|
||
" eldispy = eldisp[2,:]\n",
|
||
" maxeldisp = maximum(abs(eldispy))\n",
|
||
" if maxeldisp > maxdisp\n",
|
||
" maxdisp = maxeldisp\n",
|
||
" end\n",
|
||
" end\n",
|
||
" Logging.info(\"Maximum absolute displacement in y direction: $maxdisp\")\n",
|
||
" return model, elements, dofmap\n",
|
||
"end\n",
|
||
"\n",
|
||
"model, elements, dofmap = solve_3d_model();"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"22.8.2015 13-14 seconds/assembly."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Saving results to file"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<Grid Name=\"Grid\">\n",
|
||
" <Time Value=\"0\"/>\n",
|
||
"</Grid>\n"
|
||
]
|
||
},
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"xdoc, xmodel = JuliaFEM.xdmf_new_model()\n",
|
||
"temporal_collection = JuliaFEM.xdmf_new_temporal_collection(xmodel)\n",
|
||
"grid = JuliaFEM.xdmf_new_grid(temporal_collection; time=0)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Save geometry to xdmf file"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"22-Aug 20:53:09:INFO:root:Number of nodes in model: 298\n",
|
||
"22-Aug 20:53:09:INFO:root:Number of elements in model: 120\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"nnodes = length(model[\"nodes\"])\n",
|
||
"Logging.info(\"Number of nodes in model: $nnodes\")\n",
|
||
"node_ids = Int64[]\n",
|
||
"for nid in keys(model[\"nodes\"])\n",
|
||
" push!(node_ids, nid)\n",
|
||
"end\n",
|
||
"sort!(node_ids)\n",
|
||
"X = zeros(3, nnodes)\n",
|
||
"for (i, nid) in enumerate(node_ids)\n",
|
||
" X[:,i] = model[\"nodes\"][nid]\n",
|
||
"end\n",
|
||
"\n",
|
||
"nelements = length(model[\"elements\"])\n",
|
||
"Logging.info(\"Number of elements in model: $nelements\")\n",
|
||
"elmap = zeros(Int64, 11, nelements)\n",
|
||
"elmap[1,:] = 0x0026\n",
|
||
"for elid in 1:nelements\n",
|
||
" elmap[2:end,elid] = model[\"elements\"][elid]\n",
|
||
"end"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"true"
|
||
]
|
||
},
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"JuliaFEM.xdmf_new_mesh(grid, X, elmap)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"10435"
|
||
]
|
||
},
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"JuliaFEM.xdmf_save_model(xdoc, \"/tmp/3d_solid_model.xmf\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Save nodal data to model"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Dict{Any,Any} with 298 entries:\n",
|
||
" 288 => [-12.729409015111749,-46.9846345618832,0.009761610393284966]\n",
|
||
" 11 => [-14.785829217208345,-42.20176974427358,0.008418234114233902]\n",
|
||
" 158 => [-0.09613238427634156,-0.024925865661713818,-0.021152328599486542]\n",
|
||
" 215 => [-8.20409899751332,-20.651834887555676,0.003675944651348186]\n",
|
||
" 134 => [-0.04746289973766305,-13.917505665457174,0.05113049026250106]\n",
|
||
" 160 => [0.24815357717678269,-0.45087760210227873,0.03912838810489934]\n",
|
||
" 29 => [0.07844018461547243,-0.0627092438336493,0.004195891729593265]\n",
|
||
" 131 => [-0.044388456389576496,-13.917981456773019,-0.0438798882444338]\n",
|
||
" 249 => [-18.540806339609137,-46.66700218188106,0.008827411992911762]\n",
|
||
" 207 => [-4.7437779792501855,-11.296644899155622,0.02719228049012583]\n",
|
||
" 173 => [-6.3308244019029285,-30.052183303569294,0.02087205767261999]\n",
|
||
" 289 => [-11.37815163924305,-43.5423942881868,0.006659559839321376]\n",
|
||
" 74 => [-1.0030212040099715,-18.13510354497542,0.026360938873556356]\n",
|
||
" 201 => [-6.115145748129304,-15.075793071665448,0.0029932630672883753]\n",
|
||
" 176 => [-1.9275056779524837,-10.695874800497005,0.002034006619959744]\n",
|
||
" 57 => [-4.707634597909023,-20.14315254888759,0.005778013656624454]\n",
|
||
" 31 => [-0.017918702135579754,-0.20429459029338543,-0.001244164592902138]\n",
|
||
" 285 => [-13.758654101433423,-44.588532062281345,0.009242729767728863]\n",
|
||
" 70 => [-0.6491658026068142,-16.68445815172466,-0.03677230855273911]\n",
|
||
" 33 => [-0.20319546252824566,-0.1970254554753098,0.020084518618881362]\n",
|
||
" 252 => [-1.2461038792304833,-1.632376299729978,0.003005676402356064]\n",
|
||
" 114 => [0.6751013334216733,-0.8524740368899743,-0.0743055712746195]\n",
|
||
" 165 => [-10.550249918373362,-26.708598943475753,-0.0182375631888076]\n",
|
||
" 96 => [-6.477353553877085,-35.67268031983259,-0.004587926489339682]\n",
|
||
" 133 => [0.425071475140366,-11.347486228911315,0.003588217409561677]\n",
|
||
" ⋮ => ⋮"
|
||
]
|
||
},
|
||
"execution_count": 32,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"nodaldisp = Dict()\n",
|
||
"for el in elements\n",
|
||
" for (i, nid) in enumerate(el.node_ids)\n",
|
||
" nodaldisp[nid] = el.attributes[\"displacement\"][:, i]\n",
|
||
" end\n",
|
||
"end\n",
|
||
"nodaldisp"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 33,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"3x298 Array{Float64,2}:\n",
|
||
" -0.328537 -0.581456 -1.94415 -2.25956 -1.65873 -1.02996 … -0.151833 -0.572535 -0.320967 -1.37494 -0.922318 0.0\n",
|
||
" -2.97468 -4.52837 -10.717 -11.9348 -14.9046 -12.2747 -1.683 -4.49601 -2.94077 -8.4008 -6.32738 0.0\n",
|
||
" -0.000439894 0.00176042 0.00267874 0.00357279 0.00431665 0.00380978 0.0048871 0.00163786 0.00332861 0.00422365 0.00304404 0.0"
|
||
]
|
||
},
|
||
"execution_count": 33,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"u = zeros(3, nnodes)\n",
|
||
"for (i, nid) in enumerate(node_ids)\n",
|
||
" u[:,i] = nodaldisp[nid]\n",
|
||
"end\n",
|
||
"u"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"true"
|
||
]
|
||
},
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"JuliaFEM.xdmf_new_field(grid, \"Displacement\", \"nodes\", u)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 35,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"28138"
|
||
]
|
||
},
|
||
"execution_count": 35,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"JuliaFEM.xdmf_save_model(xdoc, \"/tmp/3d_solid_model.xmf\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 36,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"PyObject <IPython.core.display.Image object>"
|
||
]
|
||
},
|
||
"execution_count": 36,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"using PyCall\n",
|
||
"@pyimport IPython.display as d\n",
|
||
"d.Image(\"/tmp/3d_solid_model.png\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Another 3d example"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"using JuliaFEM.abaqus_reader\n",
|
||
"fid = open(\"../geometry/piston/piston_45510_P1.inp\")\n",
|
||
"#fid = open(\"../geometry/piston/piston_8789_P1.inp\")\n",
|
||
"model = JuliaFEM.abaqus_reader.parse_abaqus(fid)\n",
|
||
"close(fid)\n",
|
||
"model"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Construct linear Lagrange basis\n",
|
||
"P(xi) = [\n",
|
||
" 1\n",
|
||
" xi[1]\n",
|
||
" xi[2]\n",
|
||
" xi[3]]\n",
|
||
"dP(xi) = [\n",
|
||
" 0 0 0\n",
|
||
" 1 0 0\n",
|
||
" 0 1 0\n",
|
||
" 0 0 1]\n",
|
||
"X = [\n",
|
||
" 0.0 0.0 0.0\n",
|
||
" 1.0 0.0 0.0\n",
|
||
" 0.0 1.0 0.0\n",
|
||
" 0.0 0.0 1.0]\n",
|
||
"A = zeros(4, 4)\n",
|
||
"for i=1:4\n",
|
||
" A[i,:] = P(X[i,:])\n",
|
||
"end\n",
|
||
"invA = inv(A)\n",
|
||
"basis(xi) = invA'*P(xi)\n",
|
||
"dbasis(xi) = invA'*dP(xi)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"function solve_3d_model()\n",
|
||
" Logging.debug(\"Creating elements\")\n",
|
||
" elements = JuliaFEM.Element[]\n",
|
||
" coordinates = zeros(3, 4)\n",
|
||
"\n",
|
||
" integration_points = [\n",
|
||
" JuliaFEM.IntegrationPoint([0.25, 0.25, 0.25], 1/6, Dict())\n",
|
||
" ]\n",
|
||
"\n",
|
||
" for (elid, node_ids) in model[\"elements\"]\n",
|
||
" coordinates[:,:] = 0.0\n",
|
||
" for (i, nid) in enumerate(node_ids)\n",
|
||
" coordinates[:,i] = model[\"nodes\"][nid]\n",
|
||
" end\n",
|
||
"\n",
|
||
"\n",
|
||
" E = 90.0e6\n",
|
||
" nu = 0.3\n",
|
||
" mu = E/(2*(1+nu))\n",
|
||
" la = E*nu/((1+nu)*(1-2*nu))\n",
|
||
" #la = 2*la*mu/(la + 2*mu)\n",
|
||
" attributes = Dict()\n",
|
||
" el = JuliaFEM.Element(elid, node_ids, basis, dbasis, integration_points, attributes)\n",
|
||
" el.attributes[\"coordinates\"] = copy(coordinates)\n",
|
||
" el.attributes[\"lambda\"] = la\n",
|
||
" el.attributes[\"mu\"] = mu\n",
|
||
" el.attributes[\"displacement\"] = zeros(3, 4)\n",
|
||
" push!(elements, el)\n",
|
||
" end\n",
|
||
"\n",
|
||
" # create \"dofmap\" so that we know how to assemble global stiffness matrix\n",
|
||
" dofmap = create_ldof2gdofmap(elements, \"displacement\")\n",
|
||
"\n",
|
||
" # Boundary conditions\n",
|
||
"\n",
|
||
" # dirichlet bc, set dx=dy=dz for all nodes in set SUPPORT\n",
|
||
" bc_support = BC(Int64[], Float64[])\n",
|
||
" for nid in model[\"nsets\"][\"SUPPORT\"]\n",
|
||
" for i=1:3\n",
|
||
" push!(bc_support.dofs, dofmap[nid][i])\n",
|
||
" push!(bc_support.values, 0.0)\n",
|
||
" end\n",
|
||
" end\n",
|
||
"\n",
|
||
" # force boundary condition, put -1 to 2nd dof for each node in set LOAD\n",
|
||
" bc_load = BC(Int64[], Float64[])\n",
|
||
" for nid in model[\"nsets\"][\"LOAD\"]\n",
|
||
" push!(bc_load.dofs, dofmap[nid][3])\n",
|
||
" push!(bc_load.values, -1500000.0)\n",
|
||
" end\n",
|
||
"\n",
|
||
" #solve!(elements, [bc1], [bc2]; max_iterations=7)\n",
|
||
" neumann_bcs = [bc_load]\n",
|
||
" dirichlet_bcs = [bc_support]\n",
|
||
" # ndofs = dimension of unknown field in nodes\n",
|
||
" solve!(elements, dofmap, neumann_bcs, dirichlet_bcs; ndofs=3, max_iterations=10)\n",
|
||
"\n",
|
||
" # Let's pick maximum absolute displacement in y direction\n",
|
||
" maxdisp = 0.0\n",
|
||
" for el in elements\n",
|
||
" eldisp = el.attributes[\"displacement\"]\n",
|
||
" eldispy = eldisp[2,:]\n",
|
||
" maxeldisp = maximum(abs(eldispy))\n",
|
||
" if maxeldisp > maxdisp\n",
|
||
" maxdisp = maxeldisp\n",
|
||
" end\n",
|
||
" end\n",
|
||
" Logging.info(\"Maximum absolute displacement in y direction: $maxdisp\")\n",
|
||
" return model, elements, dofmap\n",
|
||
"end\n",
|
||
"\n",
|
||
"model, elements, dofmap = solve_3d_model();"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [],
|
||
"source": [
|
||
"xdoc, xmodel = JuliaFEM.xdmf.xdmf_new_model()\n",
|
||
"temporal_collection = JuliaFEM.xdmf.xdmf_new_temporal_collection(xmodel)\n",
|
||
"grid = JuliaFEM.xdmf.xdmf_new_grid(temporal_collection; time=0)\n",
|
||
"\n",
|
||
"nnodes = length(model[\"nodes\"])\n",
|
||
"Logging.info(\"Number of nodes in model: $nnodes\")\n",
|
||
"node_ids = Int64[]\n",
|
||
"for nid in keys(model[\"nodes\"])\n",
|
||
" push!(node_ids, nid)\n",
|
||
"end\n",
|
||
"sort!(node_ids)\n",
|
||
"X = zeros(3, nnodes)\n",
|
||
"for (i, nid) in enumerate(node_ids)\n",
|
||
" X[:,i] = model[\"nodes\"][nid]\n",
|
||
"end\n",
|
||
"\n",
|
||
"nelements = length(model[\"elements\"])\n",
|
||
"Logging.info(\"Number of elements in model: $nelements\")\n",
|
||
"elmap = zeros(Int64, 5, nelements)\n",
|
||
"elmap[1,:] = 0x006 # for tet4\n",
|
||
"for (i, elid) in enumerate(keys(model[\"elements\"]))\n",
|
||
" elmap[2:end, i] = model[\"elements\"][elid]\n",
|
||
"end\n",
|
||
"\n",
|
||
"xdmf_new_mesh(grid, X, elmap)\n",
|
||
"\n",
|
||
"nodaldisp = Dict()\n",
|
||
"for el in elements\n",
|
||
" for (i, nid) in enumerate(el.node_ids)\n",
|
||
" nodaldisp[nid] = el.attributes[\"displacement\"][:, i]\n",
|
||
" end\n",
|
||
"end\n",
|
||
"\n",
|
||
"u = zeros(3, nnodes)\n",
|
||
"for (i, nid) in enumerate(node_ids)\n",
|
||
" u[:,i] = nodaldisp[nid]\n",
|
||
"end\n",
|
||
"\n",
|
||
"JuliaFEM.xdmf.xdmf_new_field(grid, \"Displacement\", \"nodes\", u)\n",
|
||
"\n",
|
||
"JuliaFEM.xdmf.xdmf_save_model(xdoc, \"/tmp/piston.xmf\")\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 37,
|
||
"metadata": {
|
||
"collapsed": false
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"PyObject <IPython.core.display.Image object>"
|
||
]
|
||
},
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"d.Image(\"/tmp/piston.png\")"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
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"display_name": "Julia 0.4.0-dev",
|
||
"language": "julia",
|
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"name": "julia-0.4"
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},
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"language_info": {
|
||
"name": "julia",
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||
"version": "0.4.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
|
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}
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