Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/95567
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorGuo, Ren_US
dc.creatorLin, Ten_US
dc.creatorLin, Yen_US
dc.date.accessioned2022-09-22T06:13:54Z-
dc.date.available2022-09-22T06:13:54Z-
dc.identifier.issn0021-9991en_US
dc.identifier.urihttp://hdl.handle.net/10397/95567-
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.rights©2019 Elsevier Inc. All rights reserved.en_US
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Guo, R., Lin, T., & Lin, Y. (2020). Recovering elastic inclusions by shape optimization methods with immersed finite elements. Journal of Computational Physics, 404, 109123 is available at https://doi.org/10.1016/j.jcp.2019.109123.en_US
dc.subjectInverse problemsen_US
dc.subjectElasticity systemsen_US
dc.subjectInclusions reconstructionen_US
dc.subjectDiscontinuous Lamé parametersen_US
dc.subjectShape optimizationen_US
dc.subjectImmersed finite element methodsen_US
dc.titleRecovering elastic inclusions by shape optimization methods with immersed finite elementsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume404en_US
dc.identifier.doi10.1016/j.jcp.2019.109123en_US
dcterms.abstractThis article presents a finite element method on a fixed mesh for solving a group of inverse geometric problems for recovering the material interface of a linear elasticity system. A partially penalized immersed finite element method is used to discretize both the elasticity interface problems and the objective shape functionals accurately regardless of the shape and location of the interface. Explicit formulas for both the velocity fields and the shape derivatives of IFE shape functions are derived on a fixed mesh and they are employed in the shape sensitivity framework through the discretized adjoint method for accurately and efficiently computing the gradients of objective shape functions with respect to the parameters of the interface curve. The shape optimization for solving an inverse geometric problem is therefore accurately reduced to a constrained optimization that can be implemented efficiently within the IFE framework together with a standard optimization algorithm. We demonstrate features and advantages of the proposed IFE-based shape optimization method by several typical inverse geometric problems for linear elasticity systems.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of computational physics, 1 Mar. 2020, v. 404, 109123en_US
dcterms.isPartOfJournal of computational physicsen_US
dcterms.issued2020-03-
dc.identifier.scopus2-s2.0-85076629407-
dc.identifier.artn109123en_US
dc.description.validate202209 bcfcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B2-0520, AMA-0194-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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