Automatic estimation of elastic material parameters of a transversely isotropic material using asymmetric indentation and inverse finite element analysis

Yuan Feng, Chung Hao Lee, Lining Sun, Ruth J. Okamoto, Songbai Ji

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Anisotropy exists in many soft biological tissues. The most common anisotropy is transverse isotropy, which is typical for fiber-reinforced structures, such as the brain white matter, tendon and muscle. Although many methods have been proposed to determine tissue properties, techniques to characterize transversely isotropic materials remain limited. The goal of this study is to investigate the feasibility of asymmetric indentation coupled with numerical optimization based on inverse finite element (FE) simulation to characterize transversely isotropic soft biological tissues. The proposed approach combining indentation and optimization may provide a useful general framework to characterize a variety of fiberreinforced soft tissues in the future.

Original languageEnglish
Title of host publicationBiomedical and Biotechnology Engineering
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791857380
DOIs
StatePublished - 2015
EventASME 2015 International Mechanical Engineering Congress and Exposition, IMECE 2015 - Houston, United States
Duration: Nov 13 2015Nov 19 2015

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume3-2015

Conference

ConferenceASME 2015 International Mechanical Engineering Congress and Exposition, IMECE 2015
Country/TerritoryUnited States
CityHouston
Period11/13/1511/19/15

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