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Published on: December 14, 2015
Implementation and validation of constitutive relations for human dermis mechanical response
Alessandra Aldieri1, Mara Terzini2, Cristina Bignardi2
1PolitoBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 24, Corso Duca degli Abruzzi, 10129, Turin, Italy. alessandra.aldieri@polito.it.
This study validates hyperelastic constitutive models for soft tissues like the dermis using an experimental-computational approach. The findings provide a framework for accurate biomechanical analysis of collagenous tissues.
Area of Science:
- Biomechanics
- Biomaterials Science
- Computational Mechanics
Background:
- Finite element models (FEM) are crucial for predicting tissue response in physiological and medical applications.
- Validating constitutive models is essential for reliable FEM results in soft tissue biomechanics.
Purpose of the Study:
- To present an experimental-computational framework for investigating soft tissue biomechanics, specifically the human reticular dermis.
- To implement and validate three hyperelastic constitutive models: Ogden, Holzapfel, and Gasser-Ogden-Holzapfel.
Main Methods:
- Material parameters for hyperelastic models were determined using biaxial experimental data and a cost function.
- Finite element simulations were performed to reproduce experimental tests.
- Model validation involved comparing experimental and numerical displacements and stress-strain relationships.
Main Results:
- The study successfully implemented and validated Ogden, Holzapfel, and Gasser-Ogden-Holzapfel models for human reticular dermis.
- The experimental-computational framework demonstrated the ability to predict soft tissue mechanical behavior.
- Discrepancies between experimental and numerical data were quantified for model validation.
Conclusions:
- An experimental-numerical framework for collagenous tissue investigation was proposed.
- The validated constitutive models provide a basis for accurate biomechanical predictions.
- Future improvements may involve larger and independent experimental datasets for enhanced accuracy.
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