A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: Application to porcine aortic valves-Reference-Cited by-同舟云学术

A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: Application to porcine aortic valves

Published:2023-02 Issue: Volume:138 Page:105657
ISSN:1751-6161
Container-title:Journal of the Mechanical Behavior of Biomedical Materials
language:en
Short-container-title:Journal of the Mechanical Behavior of Biomedical Materials

Author:

Aggarwal Ankush^ORCID,Hudson Luke T.^ORCID,Laurence Devin W.,Lee Chung-Hao^ORCID,Pant Sanjay^ORCID

Funder

National Institutes of Health

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Mechanics of Materials,Biomedical Engineering,Biomaterials

Reference65 articles.

1. An improved parameter estimation and comparison for soft tissue constitutive models containing an exponential function;Aggarwal;Biomech. Model. Mechanobiol.,2017

2. Effect of residual and transformation choice on computational aspects of biomechanical parameter estimation of soft tissues;Aggarwal;Bioengineering,2019

3. An information-theoretic framework for optimal design: Analysis of protocols for estimating soft tissue parameters in biaxial experiments;Aggarwal;Axioms,2021

4. In-vivo heterogeneous functional and residual strains in human aortic valve leaflets;Aggarwal;J. Biomech.,2016

5. A combined experimental and modelling approach to aortic valve viscoelasticity in tensile deformation;Anssari-Benam;J. Mater. Sci.: Mater. Med.,2011

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