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Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection

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Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection

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dc.contributor.author Marco, Onofre es_ES
dc.contributor.author Ródenas, J.J. es_ES
dc.contributor.author Albelda Vitoria, José es_ES
dc.contributor.author Nadal, Enrique es_ES
dc.contributor.author Tur Valiente, Manuel es_ES
dc.date.accessioned 2018-06-03T04:28:27Z
dc.date.available 2018-06-03T04:28:27Z
dc.date.issued 2017 es_ES
dc.identifier.issn 1615-147X es_ES
dc.identifier.uri http://hdl.handle.net/10251/103270
dc.description.abstract [EN] We present a novel approach to 3D structural shape optimization that leans on an Immersed Boundary Method. A boundary tracking strategy based on evaluating the intersections between a fixed Cartesian grid and the evolving geometry sorts elements as internal, external and intersected. The integration procedure used by the NURBS-Enhanced Finite Element Method accurately accounts for the nonconformity between the fixed embedding discretization and the evolving structural shape, avoiding the creation of a boundary-fitted mesh for each design iteration, yielding in very efficient mesh generation process. A Cartesian hierarchical data structure improves the efficiency of the analyzes, allowing for trivial data sharing between similar entities or for an optimal reordering of thematrices for the solution of the system of equations, among other benefits. Shape optimization requires the sufficiently accurate structural analysis of a large number of different designs, presenting the computational cost for each design as a critical issue. The information required to create 3D Cartesian h- adapted mesh for new geometries is projected from previously analyzed geometries using shape sensitivity results. Then, the refinement criterion permits one to directly build h-adapted mesh on the new designs with a specified and controlled error level. Several examples are presented to show how the techniques here proposed considerably improve the computational efficiency of the optimization process. es_ES
dc.description.sponsorship The authors wish to thank the Spanish Ministerio de Economia y Competitividad for the financial support received through the project DPI2013-46317-R and the FPI program (BES-2011-044080), and the Generalitat Valenciana through the project PROMETEO/2016/007. en_EN
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Structural and Multidisciplinary Optimization es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cartesian grids es_ES
dc.subject H-refinement es_ES
dc.subject Shape optimization es_ES
dc.subject NEFEM es_ES
dc.subject.classification INGENIERIA MECANICA es_ES
dc.title Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00158-017-1875-1 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//BES-2011-044080/ES/BES-2011-044080/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2013-46317-R/ES/PERSONALIZACION DE IMPLANTES MEDIANTE MODELOS DE ELEMENTOS FINITOS A PARTIR DE IMAGENES MEDICAS 3D/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2016%2F007/ES/Modelado numérico avanzado en ingeniería mecánica/ es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2018-12-06 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials es_ES
dc.description.bibliographicCitation Marco, O.; Ródenas, J.; Albelda Vitoria, J.; Nadal, E.; Tur Valiente, M. (2017). Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection. Structural and Multidisciplinary Optimization. 1-21. https://doi.org/10.1007/s00158-017-1875-1 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s00158-017-1875-1 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 21 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\350036 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación
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