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A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials

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A mesostructurally-based anisotropic continuum model for biological soft tissues--decoupled invariant formulation.

Georges Limbert¹

¹National Centre for Advanced Tribology at Southampton (nCATS), Bioengineering Science Research Group, Faculty of Engineering and the Environment, University of Southampton, Southampton SO17 1BJ, United Kingdom. g.limbert@soton.ac.uk

Journal of the Mechanical Behavior of Biomedical Materials

|November 22, 2011

Summary

A new computational framework models biological soft tissue mechanics by linking molecular properties to macroscopic behavior. This approach accurately predicts tissue responses, advancing applications in medicine and engineering.

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A Novel Stretching Platform for Applications in Cell and Tissue Mechanobiology

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Published on: June 3, 2014

Area of Science:

Continuum mechanics
Biomaterials science
Computational modeling

Background:

Accurate modeling of biological soft tissues is crucial for diverse applications.
Existing models often lack the ability to capture specific rheological mechanisms across length scales.

Purpose of the Study:

To develop a novel mesoscopic, invariant-based continuum constitutive framework for transversely isotropic and orthotropic biological soft tissues.
To couple material properties across hierarchical scales using physically-based nanoscopic quantities.

Main Methods:

A decoupled invariant-based continuum constitutive framework was developed.
The model integrates established frameworks with entropic mechanics of tropocollagen.
Physically-based nanoscopic quantities inform macroscopic constitutive behavior.

Main Results:

The framework fully decouples shear interactions.
The orthotropic hyperelastic model accurately reproduced experimental multi-axial properties of rabbit skin.
Numerical sensitivity analyses provided new insights into skin shear response during indentation.

Conclusions:

The developed framework effectively models biological soft tissue mechanics across multiple scales.
This approach enhances the predictive capability of computational models for various applications.
The study highlights the importance of linking molecular-level properties to macroscopic tissue behavior.