An inverse method to determine material properties of soft tissues

Leonardo Ruggiero, Hugo Sol, Hichem Sahli, Sigrid M. Adriaenssens, Nele Adriaenssens

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Material characterization of soft biological tissues by mixed experimental/numerical (inverse) techniques represents a powerful tool for the analysis of their complex mechanics. However, the uncertainty related to the accuracy and capability of the technique is not yet completely investigated and understood. In this work, a quasi-static indentation procedure is implemented in order to extract the Mooney-Rivlin material parameters and the equivalent Young's modulus for a hyperelastic rubber-like material. A non-standard approach based on a Finite Element (FE) inverse method is employed. An experimental set-up consisting of a dedicated micro-indentation system has been employed to extract reaction force values as a function of the penetration depth. A cost function, based on the square difference between experimental and numerical data, is optimized trough a modified Nelder-Mead direct search algorithm (MNMA). The accuracy of the identified parameters is discussed using results of a virtual benchmark case study.

Original languageEnglish (US)
Title of host publicationMechanics of Biological Systems and Materials - Proceedings of the 2011 Annual Conference on Experimental and Applied Mechanics
PublisherSpringer New York LLC
Pages19-32
Number of pages14
ISBN (Print)9781461402183
DOIs
StatePublished - 2011
Event2011 SEM Annual Conference on Experimental and Applied Mechanics - Uncasville, CT, United States
Duration: Jun 13 2011Jun 16 2011

Publication series

NameConference Proceedings of the Society for Experimental Mechanics Series
Volume2
ISSN (Print)2191-5644
ISSN (Electronic)2191-5652

Other

Other2011 SEM Annual Conference on Experimental and Applied Mechanics
Country/TerritoryUnited States
CityUncasville, CT
Period6/13/116/16/11

All Science Journal Classification (ASJC) codes

  • General Engineering
  • Computational Mechanics
  • Mechanical Engineering

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