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Typical Model Studies01:30

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Simulation of planar soft tissues using a structural constitutive model: Finite element implementation and

Rong Fan1, Michael S Sacks1

  • 1Center for Cardiovascular Simulation, Institute for Computational Engineering and Sciences, Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.

Journal of Biomechanics
|April 22, 2014
PubMed
Summary

This study developed a computational model for soft biological tissues, accurately simulating their complex mechanical behaviors and microstructural adaptations under stress. The model enhances the design and simulation of native and engineered tissues.

Keywords:
BiomechanicsConstitutive modelingFinite elementMultiscale modelingStructural model

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Area of Science:

  • Computational mechanics
  • Biomaterials science
  • Tissue engineering

Background:

  • Soft biological tissues exhibit complex, nonlinear, and anisotropic mechanical behaviors.
  • These behaviors emerge from the underlying tissue microstructure.
  • Accurate computational models are crucial for simulating tissue mechanics in biomedical applications.

Purpose of the Study:

  • Implement a structural constitutive model within a finite element framework for membrane tissues.
  • Validate the model against experimental data for various deformation modes.
  • Investigate microstructural adaptations and the role of the tissue matrix.

Main Methods:

  • Developed a finite element framework for membrane tissues.
  • Incorporated a structural constitutive model accounting for tissue microstructure.
  • Simulated uniaxial tension, strip biaxial, planar biaxial, and membrane inflation.
  • Determined non-fibrous matrix modulus using flexural simulations.

Main Results:

  • Achieved high-fidelity simulations of soft tissue mechanics.
  • Observed and quantified microstructural adaptations like fiber reorientation and recruitment.
  • Resolved previous discrepancies in modeling fiber splay under biaxial stretch.
  • Demonstrated the significant role of the non-fibrous tissue matrix.

Conclusions:

  • The implemented model accurately captures soft tissue mechanical responses.
  • Accounting for the isotropic phase of fiber splay improves simulation accuracy.
  • Affine fiber kinematics is a reasonable assumption for planar collagenous tissues.
  • These simulation tools are vital for designing and analyzing native and engineered tissues.