TY - GEN
T1 - An inverse method to determine material properties of soft tissues
AU - Ruggiero, Leonardo
AU - Sol, Hugo
AU - Sahli, Hichem
AU - Adriaenssens, Sigrid M.
AU - Adriaenssens, Nele
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
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U2 - 10.1007/978-1-4614-0219-0_3
DO - 10.1007/978-1-4614-0219-0_3
M3 - Conference contribution
AN - SCOPUS:84857837919
SN - 9781461402183
T3 - Conference Proceedings of the Society for Experimental Mechanics Series
SP - 19
EP - 32
BT - Mechanics of Biological Systems and Materials - Proceedings of the 2011 Annual Conference on Experimental and Applied Mechanics
PB - Springer New York LLC
T2 - 2011 SEM Annual Conference on Experimental and Applied Mechanics
Y2 - 13 June 2011 through 16 June 2011
ER -