Please use this identifier to cite or link to this item: https://doi.org/10.1080/17415977.2012.757315
Title: Rapid identification of material properties of the interface tissue in dental implant systems using reduced basis method
Authors: Hoang, K.C.
Khoo, B.C. 
Liu, G.R.
Nguyen, N.C.
Patera, A.T.
Keywords: inverse analysis
Levenberg-Marquardt-Fletcher algorithm
material characterization
POD-Greedy algorithm
reduced basis method
second-order hyperbolic partial differential equations
Issue Date: Dec-2013
Citation: Hoang, K.C., Khoo, B.C., Liu, G.R., Nguyen, N.C., Patera, A.T. (2013-12). 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) : 1310-1334. ScholarBank@NUS Repository. https://doi.org/10.1080/17415977.2012.757315
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. © 2013 Taylor & Francis.
Source Title: Inverse Problems in Science and Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/61198
ISSN: 17415977
DOI: 10.1080/17415977.2012.757315
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