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A Plugin Framework for Extending the Simulation Capabilities of FEBio.

Steve A Maas1, Steven A LaBelle1, Gerard A Ateshian2

  • 1Department of Biomedical Engineering, and Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah.

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A new plugin framework for FEBio software enhances biomechanical and biophysical simulations. This framework allows users to extend FEBio

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Area of Science:

  • Biomechanics and Biophysics
  • Computational Biology
  • Software Engineering

Background:

  • FEBio is a software suite for nonlinear finite element analysis in biomechanics and biophysics.
  • It models multiconstituent biological materials using mixture theory, integrating thermodynamics, solid/fluid mechanics, mass transport, and electrokinetics.
  • Extending FEBio's capabilities often requires direct source code modification, limiting user contributions.

Purpose of the Study:

  • To introduce and detail a novel plugin framework for the FEBio software suite.
  • To enable users to extend FEBio's functionality and couple it with other software without altering the source code.
  • To facilitate the dissemination of new simulation methods and enhance the reproducibility of research.

Main Methods:

  • Development of a plugin framework using dynamically linked libraries.
  • Integration of plugins to add new features and external software couplings.
  • Review of FEBio's governing equations and simulation capabilities.
  • Detailed description of plugin implementation, structure, and usage.

Main Results:

  • Demonstration of plugin framework utility through diverse examples.
  • Plugins developed for deformable image registration, biological tissue modeling, angiogenesis simulation coupling, and reaction-diffusion solving.
  • Successful extension of FEBio's capabilities for various biomechanical and biophysical applications.
  • Facilitation of coupling FEBio with compartmental modeling, agent-based modeling, and rigid-body dynamics.

Conclusions:

  • The FEBio plugin framework significantly expands the software's application range and impact.
  • It promotes easier integration of novel simulation techniques and external computational models.
  • The framework enhances the dissemination of research findings and reproducibility in computational biomechanics and biophysics.