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Updated: Aug 20, 2025

A Coupled Experiment-finite Element Modeling Methodology for Assessing High Strain Rate Mechanical Response of Soft Biomaterials
Published on: May 18, 2015
A three-dimensional fractional visco-hyperelastic model for soft materials
Yunfei Gao1, Deshun Yin2, Mao Tang2
1College of Mechanics and Materials, Hohai University, Nanjing, 211100, PR China; Henan International Joint Laboratory of Structural Mechanics and Computational Simulation, Huanghuai University, Zhumadian, 463003, PR China.
This study introduces a new fractional visco-hyperelastic model for soft materials. The model accurately captures rate-dependent mechanical behavior, simplifying constitutive modeling for complex soft elements.
Area of Science:
- Materials Science
- Mechanical Engineering
- Applied Mathematics
Background:
- Soft materials exhibit complex mechanical behaviors due to combined elasticity and viscosity.
- Accurate constitutive modeling is essential for designing and understanding soft material applications.
- Existing models often face challenges with complexity and calibration.
Purpose of the Study:
- To develop a novel fractional visco-hyperelastic constitutive model for soft materials.
- To simplify the constitutive modeling of soft materials by incorporating fractional mechanics.
- To accurately characterize the rate-dependent mechanical behavior of soft materials.
Main Methods:
- Developed a constitutive model combining a hyperelastic spring and a non-linear fractional dashpot.
- Incorporated 3D fractional viscoelasticity into finite strain theory.
- Utilized a two-branch model to describe equilibrium and time-dependent responses.
Main Results:
- The proposed fractional model successfully describes rate-dependent mechanical behavior.
- The model accurately predicts material responses across different deformation modes.
- Fractional mechanics approach avoids complex calibration and numerous governing equations.
Conclusions:
- The fractional visco-hyperelastic model offers an effective method for characterizing soft materials.
- This approach simplifies constitutive modeling while maintaining predictive accuracy.
- The model advances the understanding of soft material mechanics through fractional calculus.
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