Rapid identification of material properties of the interface tissue in dental implant systems using reduced basis method

Hoang, Khac Chi, Khoo, B. C., Liu, G. R., Nguyen, N. C. and Patera, A. T. 2013. Rapid identification of material properties of the interface tissue in dental implant systems using reduced basis method. Inverse Problems in Science and Engineering 21 (8) , pp. 1310-1334. 10.1080/17415977.2012.757315

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Abstract

This paper proposes a rapid inverse analysis approach based on the reduced basis (RB) method and the Levenberg–Marquardt–Fletcher algorithm to identify the ‘unknown’ material properties: Young’s modulus and stiffness-proportional Rayleigh damping coefficient of the interfacial tissue between a dental implant and the surrounding bones. In the forward problem, a finite element approximation for a three-dimensional dental implant-bone model is first built. A RB approximation is then established by using a proper orthogonal decomposition – Greedy algorithm and the Galerkin projection to enable extremely fast and reliable computation of displacement responses for a range of material properties. In the inverse analysis, the RB approximation for the dental implant-bone model are incorporated in the Levenberg–Marquardt–Fletcher algorithm to enable rapid identification of the unknown material properties. Numerical results are presented to demonstrate the efficiency and robustness of the proposed method.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TJ Mechanical engineering and machinery
Uncontrolled Keywords:	second-order hyperbolic partial differential equations, reduced basis method, inverse analysis, Levenberg–Marquardt–Fletcher algorithm, material characterization, POD–Greedy algorithm
Publisher:	Taylor & Francis
ISSN:	1741-5977
Last Modified:	19 Mar 2016 23:17
URI:	https://orca.cardiff.ac.uk/id/eprint/45876

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