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

[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 integr...

Descripción completa

Detalles Bibliográficos
Autores: Marco, Onofre, Ródenas, Juan José|||0000-0003-2195-7920, Albelda Vitoria, José|||0000-0001-7365-1152, Nadal, Enrique|||0000-0002-2808-298X, Tur Valiente, Manuel|||0000-0001-7683-4771
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/103270
Acceso en línea:https://riunet.upv.es/handle/10251/103270
Access Level:acceso abierto
Palabra clave:Cartesian grids
H-refinement
Shape optimization
NEFEM
INGENIERIA MECANICA
id ES_1ff6c0324af91d9b9fcbfaa1fc36eefd
oai_identifier_str oai:riunet.upv.es:10251/103270
network_acronym_str ES
network_name_str España
repository_id_str
spelling Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projectionMarco, OnofreRódenas, Juan José|||0000-0003-2195-7920Albelda Vitoria, José|||0000-0001-7365-1152Nadal, Enrique|||0000-0002-2808-298XTur Valiente, Manuel|||0000-0001-7683-4771Cartesian gridsH-refinementShape optimizationNEFEMINGENIERIA MECANICA[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.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.Springer-VerlagEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialDepartamento de Ingeniería Mecánica y de MaterialesInstituto Universitario de Investigación Concertado de Ingeniería Mecánica y BiomecánicaGeneralitat ValencianaMinisterio de Economía y CompetitividadMinisterio de Ciencia e InnovaciónRepositorio Institucional de la Universitat Politècnica de València Riunet20172017-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/103270reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 BES-2011-044080 BES-2011-044080Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 DPI2013-46317-R PERSONALIZACION DE IMPLANTES MEDIANTE MODELOS DE ELEMENTOS FINITOS A PARTIR DE IMAGENES MEDICAS 3DGeneralitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2016%2F007 Modelado numérico avanzado en ingeniería mecánicaopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1032702026-06-13T07:49:27Z
dc.title.none.fl_str_mv Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
title Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
spellingShingle Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
Marco, Onofre
Cartesian grids
H-refinement
Shape optimization
NEFEM
INGENIERIA MECANICA
title_short Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
title_full Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
title_fullStr Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
title_full_unstemmed Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
title_sort Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
dc.creator.none.fl_str_mv Marco, Onofre
Ródenas, Juan José|||0000-0003-2195-7920
Albelda Vitoria, José|||0000-0001-7365-1152
Nadal, Enrique|||0000-0002-2808-298X
Tur Valiente, Manuel|||0000-0001-7683-4771
author Marco, Onofre
author_facet Marco, Onofre
Ródenas, Juan José|||0000-0003-2195-7920
Albelda Vitoria, José|||0000-0001-7365-1152
Nadal, Enrique|||0000-0002-2808-298X
Tur Valiente, Manuel|||0000-0001-7683-4771
author_role author
author2 Ródenas, Juan José|||0000-0003-2195-7920
Albelda Vitoria, José|||0000-0001-7365-1152
Nadal, Enrique|||0000-0002-2808-298X
Tur Valiente, Manuel|||0000-0001-7683-4771
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Departamento de Ingeniería Mecánica y de Materiales
Instituto Universitario de Investigación Concertado de Ingeniería Mecánica y Biomecánica
Generalitat Valenciana
Ministerio de Economía y Competitividad
Ministerio de Ciencia e Innovación
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Cartesian grids
H-refinement
Shape optimization
NEFEM
INGENIERIA MECANICA
topic Cartesian grids
H-refinement
Shape optimization
NEFEM
INGENIERIA MECANICA
description [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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/103270
url https://riunet.upv.es/handle/10251/103270
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 BES-2011-044080 BES-2011-044080
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 DPI2013-46317-R PERSONALIZACION DE IMPLANTES MEDIANTE MODELOS DE ELEMENTOS FINITOS A PARTIR DE IMAGENES MEDICAS 3D
Generalitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2016%2F007 Modelado numérico avanzado en ingeniería mecánica
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer-Verlag
publisher.none.fl_str_mv Springer-Verlag
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404431332671488
score 15.300719

Similares en LA Referencia