4afb46327a
Added complete working example with all NX result files for testing
and validation of the OP2 result extractor.
Files Added (examples/bracket/):
- Bracket.prt: Part geometry with expressions
- Bracket_sim1.sim: Simulation definition (SOL 101 Linear Statics)
- Bracket_fem1.fem: Finite element mesh
- bracket_sim1-solution_1.op2: Binary results (666 KB)
- bracket_sim1-solution_1.f06: ASCII results log
- bracket_sim1-solution_1.dat: Nastran input deck
- Supporting files: .diag, .f04, .log, .html, .png
Validated Results from OP2:
✓ Max Displacement: 0.362 mm (node 91)
- Primary direction: -Z (-0.354 mm)
- Load application point
✓ Max von Mises Stress: 122.91 MPa (element 79, CHEXA)
- Material: Aluminum 6061-T6 (yield = 276 MPa)
- Safety Factor: 2.25 ✅ SAFE
- Well below yield strength
Units Handling:
- NX units: mm, mN (milli-newton), kg
- Stress in OP2: mN/mm² = kPa
- Conversion required: kPa / 1000 = MPa
- Displacement: mm (direct)
Model Properties:
- Analysis Type: SOL 101 Linear Statics
- Elements: 585 (CHEXA hexahedral)
- Load: ~1000 N in -Z direction (3 application points)
- Constraints: Fixed supports at base
- Material: Al 6061-T6
Optimization Potential:
Current design has good margins:
- Displacement: 0.36 mm (could allow up to ~1.0 mm)
- Stress: 122.91 MPa (could allow up to ~200 MPa)
→ Weight reduction opportunity while maintaining safety!
This validates:
- pyNastran OP2 extraction works correctly
- Units conversion handling (mN → N, kPa → MPa)
- Multi-objective optimization is feasible
- Example ready for testing optimization workflow
196 lines
5.8 KiB
HTML
196 lines
5.8 KiB
HTML
<!DOCTYPE html>
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<!-- saved from url=(0014)about:internet -->
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<html>
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<head>
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<title>Solution Monitor Graphs</title>
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<script type = "text/javascript">
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var isPluginLoaded = false;
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function PluginLoaded() {
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isPluginLoaded = true;
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}
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</script>
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<script src = "plotly-latest.min.js" onload="PluginLoaded()"></script>
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<script src = "file:///C:/Program Files/Siemens/NX2412/nxcae_extras/tmg/js/plotly-latest.min.js" onload="PluginLoaded()"></script>
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<script src = "https://cdn.plot.ly/plotly-latest.min.js" onload="PluginLoaded()"></script>
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</head>
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<body>
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<div id = 'Sparse Matrix Solver'></div>
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<script>
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var xData = [
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[1,3,8,11,16,18,21,23,25,29,31,34,37,38,40,43,46,52,56,58,60]
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];
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var yData = [
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[15,81,189,243,336,390,462,558,612,702,783,855,963,1008,1071,1143,1224,1296,1386,1458,1602]
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];
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var colors = ['rgba( 12, 36, 97,1.0)','rgba(106,176, 76,1.0)','rgba(179, 57, 57,1.0)',
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'rgba(250,152, 58,1.0)','rgba(115,115,115,1.0)','rgba( 49,130,189,1.0)','rgba(189,189,189,1.0)'];
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var colors2 = ['rgba( 12, 36, 97,0.5)','rgba(106,176, 76,0.5)','rgba(179, 57, 57,0.5)',
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'rgba(250,152, 58,0.5)','rgba(115,115,115,0.5)','rgba( 49,130,189,0.5)','rgba(189,189,189,0.5)'];
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var lineSize = [2, 4, 2, 2, 2, 2];
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var labels = [''];
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var data = [];
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for (var i = 0; i < xData.length; i++) {
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var result = {
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x: xData[i],
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y : yData[i],
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type : 'scatter',
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showlegend: true,
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legendgroup: labels[i],
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mode : 'lines',
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name : labels[i],
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line : {
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color: colors[i],
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width : lineSize[i]
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}
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};
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var result2 = {
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x: [xData[i][0], xData[i][20]],
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y : [yData[i][0], yData[i][20]],
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type : 'scatter',
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showlegend: false,
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legendgroup: labels[i],
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mode : 'markers',
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name : '',
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hoverinfo : 'skip',
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marker : {
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color: colors2[i],
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size : 12
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}
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};
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data.push(result, result2);
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}
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var layout = {
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height : 900,
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width : 1200,
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xaxis : {
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showline: true,
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showgrid : false,
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zeroline : false,
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showticklabels : true,
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linecolor : 'rgb(204,204,204)',
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linewidth : 2,
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autotick : true,
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ticks : 'outside',
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tickcolor : 'rgb(204,204,204)',
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tickwidth : 2,
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ticklen : 5,
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tickfont : {
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family: 'Arial',
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size : 12,
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color : 'rgb(82, 82, 82)'
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}
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},
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yaxis: {
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showline: true,
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showgrid : false,
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zeroline : false,
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showticklabels : true,
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linecolor : 'rgb(204,204,204)',
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linewidth : 2,
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autotick : true,
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ticks : 'outside',
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tickcolor : 'rgb(204,204,204)',
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tickwidth : 2,
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ticklen : 5,
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tickfont : {
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family: 'Arial',
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size : 12,
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color : 'rgb(82, 82, 82)'
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},
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},
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autosize : false,
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margin : {
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autoexpand: true,
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l : 100,
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r : 150,
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t : 110
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},
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annotations : [
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{
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xref: 'paper',
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yref : 'paper',
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x : 0.0,
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y : 1.05,
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xanchor : 'left',
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yanchor : 'bottom',
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text : 'Sparse Matrix Solver',
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font : {
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family: 'Arial',
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size : 30,
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color : 'rgb(37,37,37)'
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},
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showarrow : false
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},
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{
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xref: 'paper',
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yref : 'paper',
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x : 0.5,
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y : -0.1,
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xanchor : 'center',
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yanchor : 'top',
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text : 'Supernode',
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showarrow : false,
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font : {
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family: 'Arial',
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size : 22,
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color : 'rgb(150,150,150)'
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}
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}
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]
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};
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for (var i = 0; i < xData.length; i++) {
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var result = {
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xref: 'paper',
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x : 0.05,
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y : yData[i][0],
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text : yData[i][0],
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xanchor : 'right',
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yanchor : 'middle',
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showarrow : false,
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clicktoshow : 'onout',
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font : {
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family: 'Arial',
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size : 16,
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color : 'black'
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}
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};
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var result2 = {
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xref: 'paper',
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x : 0.95,
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y : yData[i][20],
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text : yData[i][20],
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xanchor : 'left',
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yanchor : 'middle',
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font : {
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family: 'Arial',
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size : 16,
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color : 'black'
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},
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showarrow : false,
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clicktoshow : 'onout'
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};
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layout.annotations.push(result, result2);
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}
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var config = {responsive: true,
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displaylogo: false};
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Plotly.newPlot('Sparse Matrix Solver', data, layout, config);
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</script>
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<div class="plotly" id="plotly">
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<span onclick="document.getElementById('plotly').style.display='none'" class='none'>× </span>
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<p>The Javascript file required for visualization is not located<br>
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in the current directory.Please follow the link:<br>
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<a href="https://cdn.plot.ly/plotly-latest.min.js" target="_blank">plotly-latest.min.js</a></p>
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Click Control + S and save it to the current directory.
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</div>
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<script>
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if (!isPluginLoaded) {
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document.getElementById('plotly').style.margin="10px 10% 60px 50%";
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}
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else {
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document.getElementById('plotly').style.display='none';
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}
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</script>
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</body>
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</html>
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