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A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
Published on: May 18, 2015
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A general framework for the numerical implementation of anisotropic hyperelastic material models including non-local
J P S Ferreira1, M P L Parente2, M Jabareen3
1Faculdade de Engenharia da Universidade do Porto, Rua Dr Roberto Frias, 4200, Porto, Portugal. j.ferreira@fe.up.pt.
Biomechanics and Modeling in Mechanobiology
|January 26, 2017
Summary
This study presents a computational framework for modeling soft tissue mechanics, incorporating damage and anisotropic hyperelasticity. It addresses material property degradation and pathological conditions using non-local averaging to improve accuracy.
Area of Science:
- Biomechanics
- Computational mechanics
- Materials science
Background:
- Soft tissues exhibit nonlinear mechanical behavior and material property degradation under physiological loading.
- Variability in tissue properties complicates the selection of computational constitutive models.
- Understanding mechanical degradation is crucial for identifying pathological conditions.
Purpose of the Study:
- To provide an overview of constitutive implementation for anisotropic hyperelastic materials with damage in a computational framework.
- To address mesh dependency issues in modeling soft tissue mechanics.
- To enable the use and development of various material models within a unified numerical framework.
Main Methods:
- Implementation of anisotropic hyperelastic material models with damage.
- Incorporation of integral-type non-local averaging to mitigate mesh dependency and damage localization.
- Application of the framework to 3D displacement and force-driven boundary value problems.
Main Results:
- Demonstrated the capability of the computational framework to handle multiple material models.
- Showcased the implications of damage effects, including Mullins effect, induced anisotropy, and hysteresis.
- Validated the non-local averaging approach in reducing mesh dependency.
Conclusions:
- The developed computational framework effectively models the complex mechanical behavior of soft tissues, including damage effects.
- The non-local averaging technique is essential for accurate simulation of soft tissue mechanics, preventing pathological localization phenomena.
- This approach facilitates the use of diverse material models for advanced biomechanical simulations.
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