Getting started

pyFEBiOpt is easiest to understand as three connected pieces:

1. pyfebiopt.xplt reads FEBio .xplt output.

2. pyfebiopt.visualization turns meshes and result arrays into PyVista objects for postprocessing and figure generation.

3. pyfebiopt.optimize uses those readers inside adapters so SciPy optimizers can drive FEBio simulations.

• Overview and installation
  • Goal of pyFEBiOpt
  • Typical workflow
  • Installation
• Read FEBio results with XPLT
  • Purpose
  • Reader pipeline
  • Basic read
  • Selectors
  • Element result example
  • Read more in the API
• Postprocess with PVBridge
  • Purpose
  • Build PyVista datasets
  • Attach results
  • Generate figures
  • Read more in the API
• Optimize FEBio simulations
  • Purpose
  • Core classes
  • Assemble a script
  • Objective
• Monitor runs on Linux