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A Biomimetic Model for Liver Cancer to Study Tumor-Stroma Interactions in a 3D Environment with Tunable Bio-Physical Properties
Published on: August 7, 2020
Material characterization of liver parenchyma using specimen-specific finite element models
Costin D Untaroiu1, Yuan-Chiao Lu
1Virginia Tech and Wake Forest University School of Biomedical Engineering and Sciences, Blacksburg, VA 24060, USA. costin@vt.edu
Summary
This study characterized liver tissue properties for car crash simulations. Liver tissue failure stress is rate-dependent, crucial for accurate finite element (FE) models in predicting injury risk.
Area of Science:
- Biomechanics
- Materials Science
- Trauma Engineering
Background:
- The liver is frequently injured in motor vehicle crashes.
- Accurate car crash simulations require strain-rate dependent soft tissue properties for finite element (FE) models.
- Existing models lack comprehensive biomechanical data for liver parenchyma under dynamic loading.
Purpose of the Study:
- To characterize the biomechanical and failure properties of bovine liver parenchyma.
- To determine the strain-rate dependence of liver tissue mechanical behavior.
- To provide data for developing accurate FE material models for crash simulations.
Main Methods:
- Performed 30 tension tests on bovine liver parenchyma at loading rates of 0.01 s(-1), 0.1 s(-1), and 1 s(-1).
- Utilized a tensile testing setup, recording load and acceleration to calculate force time histories.
- Developed specimen-specific FE models using laser scans and applied a first-order Ogden material model.
Main Results:
- Failure Green-Lagrangian strain averaged around 50% with no significant rate dependence.
- Failure 2nd Piola-Kirchhoff stress exhibited rate dependence, ranging from 33 kPa to 94 kPa.
- FE models with simulation-based optimized parameters accurately replicated experimental load time histories.
Conclusions:
- Liver parenchyma exhibits rate-dependent failure stress, a critical factor for FE modeling.
- Specimen-specific FE models with optimized parameters provide superior accuracy compared to analytical approaches.
- The study provides essential biomechanical data for enhancing injury risk assessment in automotive collisions.
