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Quantifying Anisotropic Elastic Material Properties of Biological Tissue Using Membrane Inflation

Published

Author(s)

Elizabeth S. Drexler, J. E. Bischoff

Abstract

Determination of material parameters for soft tissue frequently involves regressing material parameters for nonlinear, anisotropic constitutive models against experimental data from heterogeneous tests.  Here, parameter estimation using results from membrane inflation is considered.  A four parameter nonlinear, anisotropic hyperelastic strain energy function is used to model the material, in which the parameters are cast in terms of key response features.  The experiment is simulated using finite element analysis in order to predict the experimental measurements of pressure and profile stretch.  Material parameter regression is automated using inverse finite element analysis; parameter values are updated using both local and global techniques, and the ability of either of these techniques to efficiently converge to a best case is examined.  This approach provides a framework in which additional experimental data, including surface strain measurements or local structural information, may be incorporated in order to quantify heterogeneous nonlinear material properties.
Citation
Computer Methods in Biomechanics and Biomedical Engineering

Keywords

Cardiovascular, Inflation, Material optimization, Parameter regression

Citation

Drexler, E. and Bischoff, J. (2009), Quantifying Anisotropic Elastic Material Properties of Biological Tissue Using Membrane Inflation, Computer Methods in Biomechanics and Biomedical Engineering, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=853614 (Accessed May 22, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created February 9, 2009, Updated February 19, 2017