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dc.contributor.authorHoang, K. C.
dc.contributor.authorLiu, G. R.
dc.contributor.authorKhoo, Boo Cheong
dc.contributor.authorNguyen, Ngoc Cuong
dc.contributor.authorPatera, Anthony T.
dc.date.accessioned2013-06-05T21:00:26Z
dc.date.available2013-06-05T21:00:26Z
dc.date.issued2013-01
dc.date.submitted2012-09
dc.identifier.issn1741-5977
dc.identifier.issn1741-5985
dc.identifier.urihttp://hdl.handle.net/1721.1/79067
dc.description.abstractThis 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.en_US
dc.language.isoen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionofhttp://dx.doi.org/10.1080/17415977.2012.757315en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleRapid identification of material properties of the interface tissue in dental implant systems using reduced basis methoden_US
dc.typeArticleen_US
dc.identifier.citationHoang, K.C. et al. “Rapid Identification of Material Properties of the Interface Tissue in Dental Implant Systems Using Reduced Basis Method.” Inverse Problems in Science and Engineering (2013): 1–25.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)en_US
dc.contributor.mitauthorKhoo, Boo Cheongen_US
dc.contributor.mitauthorNguyen, Ngoc Cuongen_US
dc.contributor.mitauthorPatera, Anthony T.en_US
dc.relation.journalInverse Problems in Science and Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHoang, K.C.; Khoo, B.C.; Liu, G.R.; Nguyen, N.C.; Patera, A.T.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2631-6463
dspace.mitauthor.errortrue
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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