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Updated: Aug 5, 2025

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
Published on: May 18, 2015
A transversely isotropic viscohyperelastic-damage model for the brain tissue with strain rate sensitivity
1Shanghai Key Laboratory of Mechanics in Energy Engineering, Shanghai Institute of Applied Mathematics and Mechanics, School of Mechanics and Engineering Science Shanghai University, Shanghai 200444, China.
This study introduces a new computational model for brain tissue mechanics, crucial for understanding traumatic brain injury (TBI). The model accurately captures rate-dependent large deformations and damage, aiding TBI research.
Area of Science:
- Biomechanics
- Computational Mechanics
- Neuroscience
Background:
- Understanding brain tissue mechanics is vital for traumatic brain injury (TBI) research.
- TBI involves high strain rates and large deformations, necessitating advanced constitutive models.
- Existing models may not fully capture the rate-dependent and damage behaviors of brain tissue.
Purpose of the Study:
- To develop a novel 3D large strain viscohyperelastic-damage model for brain tissue.
- To accurately reproduce experimentally observed rate-sensitive elastic and stress softening behaviors.
- To provide a tool for uncovering TBI mechanisms through improved mechanical characterization.
Main Methods:
- Development of a fully three-dimensional large strain viscohyperelastic-damage constitutive model.
- Parameter identification using experimental data from uniaxial tension, compression, and simple shear tests.
- Validation of the model by comparing its predictions against experimental data.
Main Results:
- The proposed model successfully reproduces rate-sensitive elastic behavior.
- The model captures damage-induced stress softening observed in brain tissue.
- Good agreement was achieved between the model's predictions and experimental results.
Conclusions:
- The developed model effectively characterizes the mechanical behavior of brain tissue under large deformations and high strain rates.
- The model's ability to incorporate rate dependence and damage effects offers significant potential for TBI research.
- This work provides a valuable computational tool for further investigation into the mechanisms of traumatic brain injury.
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