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Published on: December 2, 2022
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Experimental characterization of biphasic materials using rate-controlled Hertzian indentation
A C Moore1, B K Zimmerman2, X Chen2
1Biomedical Engineering, University of Delaware, Newark, DE.
Summary
A new Hertzian biphasic theory (HBT) method efficiently characterizes biphasic materials. This advanced technique offers practical advantages over existing gold standards for material property analysis.
Area of Science:
- Biomaterials Science
- Mechanical Engineering
- Computational Mechanics
Background:
- Characterizing biphasic materials is crucial for understanding tissue mechanics.
- Current methods like linear biphasic theory (LBT) and tension-compression nonlinear biphasic theory (TCN) are computationally intensive and time-consuming.
- There is a need for more efficient and sensitive techniques to analyze biphasic material properties.
Purpose of the Study:
- To introduce and validate a novel Hertzian biphasic theory (HBT) method for biphasic material characterization.
- To compare the performance of HBT against established methods (LBT and TCN).
- To highlight the practical advantages of HBT, including reduced time and computational demands and increased surface sensitivity.
Main Methods:
- Development of a new characterization method based on Hertzian biphasic theory (HBT).
- Indentation experiments performed on a single osteochondral plug.
- Validation of HBT by comparing results with linear biphasic theory (LBT) and tension-compression nonlinear biphasic theory (TCN).
Main Results:
- HBT yielded aggregate moduli (H) of 0.47 MPa, comparable to LBT (0.47 MPa) and TCN (0.40 MPa).
- Permeability (k) values from HBT (0.0026 mm⁴/Ns) were consistent with LBT (0.0014 mm⁴/Ns) and TCN (0.0016 mm⁴/Ns).
- Tensile moduli (E) obtained by HBT (8.7 MPa) showed good agreement with TCN (10.3 MPa), though differing from LBT (0.46 MPa).
Conclusions:
- The Hertzian biphasic theory (HBT) method is a valid and effective approach for characterizing biphasic materials.
- HBT offers significant practical advantages, including reduced time and computational requirements.
- The study supports the adoption of HBT for its efficiency and sensitivity in material property analysis.

