A selective technique for metaheuristic optimization of 3D truss structures

Autores
Mroginski, Javier Luis; Beneyto, Pablo Alejandro; Gutierrez, Guillermo; Di Rado, Hector Ariel
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this paper, a multiobjective optimization tool based on genetic algorithms (GA) is proposed in order to analyze the structure design of 3D trussed. In this regard, an open source code (SciLab) GA-based was developed. The main aim of this code is the simultaneous optimization of three different objective functions based on a linear combination method, i.e. multiobjective optimization. The first function is the weight of the structure (which is directly related to its cost) and the second is the maximum displacement in the most unfavorable section. The remaining objective function corresponds to the minimization of the Euclidean norm of the stress state in order to get a homogeneous field of internal stresses in all structural sections. Before the evolutionary optimization process of the GA, a sensitivity analysis of the main variables is performed, in order to focus the study on the most sensitive variables.
Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina
Fil: Gutierrez, Guillermo. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina
Fil: Di Rado, Hector Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina
XXXVII Congreso Argentino de Mecánica Computacional
Resistencia
Argentina
Asociación Argentina de Mecánica Computacional
Materia
MEF
OPTIMIZACION
GA
MULTIOBJETIVO
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/188969
Acceder
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network_name_str CONICET Digital (CONICET)
spelling A selective technique for metaheuristic optimization of 3D truss structuresMroginski, Javier LuisBeneyto, Pablo AlejandroGutierrez, GuillermoDi Rado, Hector ArielMEFOPTIMIZACIONGAMULTIOBJETIVOhttps://purl.org/becyt/ford/2.1https://purl.org/becyt/ford/2In this paper, a multiobjective optimization tool based on genetic algorithms (GA) is proposed in order to analyze the structure design of 3D trussed. In this regard, an open source code (SciLab) GA-based was developed. The main aim of this code is the simultaneous optimization of three different objective functions based on a linear combination method, i.e. multiobjective optimization. The first function is the weight of the structure (which is directly related to its cost) and the second is the maximum displacement in the most unfavorable section. The remaining objective function corresponds to the minimization of the Euclidean norm of the stress state in order to get a homogeneous field of internal stresses in all structural sections. Before the evolutionary optimization process of the GA, a sensitivity analysis of the main variables is performed, in order to focus the study on the most sensitive variables.Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; ArgentinaFil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; ArgentinaFil: Gutierrez, Guillermo. Universidad Nacional del Nordeste. Facultad de Ingeniería; ArgentinaFil: Di Rado, Hector Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; ArgentinaXXXVII Congreso Argentino de Mecánica ComputacionalResistenciaArgentinaAsociación Argentina de Mecánica ComputacionalAsociación Argentina de Mecánica Computacional2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/188969A selective technique for metaheuristic optimization of 3D truss structures; XXXVII Congreso Argentino de Mecánica Computacional; Resistencia; Argentina; 2021; 69-692591-3522CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/issue/view/1038info:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/view/6066Nacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:55:44Zoai:ri.conicet.gov.ar:11336/188969instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:55:44.507CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A selective technique for metaheuristic optimization of 3D truss structures
title A selective technique for metaheuristic optimization of 3D truss structures
spellingShingle A selective technique for metaheuristic optimization of 3D truss structures
Mroginski, Javier Luis
MEF
OPTIMIZACION
GA
MULTIOBJETIVO
title_short A selective technique for metaheuristic optimization of 3D truss structures
title_full A selective technique for metaheuristic optimization of 3D truss structures
title_fullStr A selective technique for metaheuristic optimization of 3D truss structures
title_full_unstemmed A selective technique for metaheuristic optimization of 3D truss structures
title_sort A selective technique for metaheuristic optimization of 3D truss structures
dc.creator.none.fl_str_mv Mroginski, Javier Luis
Beneyto, Pablo Alejandro
Gutierrez, Guillermo
Di Rado, Hector Ariel
author Mroginski, Javier Luis
author_facet Mroginski, Javier Luis
Beneyto, Pablo Alejandro
Gutierrez, Guillermo
Di Rado, Hector Ariel
author_role author
author2 Beneyto, Pablo Alejandro
Gutierrez, Guillermo
Di Rado, Hector Ariel
author2_role author
author
author
dc.subject.none.fl_str_mv MEF
OPTIMIZACION
GA
MULTIOBJETIVO
topic MEF
OPTIMIZACION
GA
MULTIOBJETIVO
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.1
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper, a multiobjective optimization tool based on genetic algorithms (GA) is proposed in order to analyze the structure design of 3D trussed. In this regard, an open source code (SciLab) GA-based was developed. The main aim of this code is the simultaneous optimization of three different objective functions based on a linear combination method, i.e. multiobjective optimization. The first function is the weight of the structure (which is directly related to its cost) and the second is the maximum displacement in the most unfavorable section. The remaining objective function corresponds to the minimization of the Euclidean norm of the stress state in order to get a homogeneous field of internal stresses in all structural sections. Before the evolutionary optimization process of the GA, a sensitivity analysis of the main variables is performed, in order to focus the study on the most sensitive variables.
Fil: Mroginski, Javier Luis. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste; Argentina
Fil: Beneyto, Pablo Alejandro. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina
Fil: Gutierrez, Guillermo. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina
Fil: Di Rado, Hector Ariel. Universidad Nacional del Nordeste. Facultad de Ingeniería; Argentina
XXXVII Congreso Argentino de Mecánica Computacional
Resistencia
Argentina
Asociación Argentina de Mecánica Computacional
description In this paper, a multiobjective optimization tool based on genetic algorithms (GA) is proposed in order to analyze the structure design of 3D trussed. In this regard, an open source code (SciLab) GA-based was developed. The main aim of this code is the simultaneous optimization of three different objective functions based on a linear combination method, i.e. multiobjective optimization. The first function is the weight of the structure (which is directly related to its cost) and the second is the maximum displacement in the most unfavorable section. The remaining objective function corresponds to the minimization of the Euclidean norm of the stress state in order to get a homogeneous field of internal stresses in all structural sections. Before the evolutionary optimization process of the GA, a sensitivity analysis of the main variables is performed, in order to focus the study on the most sensitive variables.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Congreso
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/188969
A selective technique for metaheuristic optimization of 3D truss structures; XXXVII Congreso Argentino de Mecánica Computacional; Resistencia; Argentina; 2021; 69-69
2591-3522
CONICET Digital
CONICET
url http://hdl.handle.net/11336/188969
identifier_str_mv A selective technique for metaheuristic optimization of 3D truss structures; XXXVII Congreso Argentino de Mecánica Computacional; Resistencia; Argentina; 2021; 69-69
2591-3522
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/issue/view/1038
info:eu-repo/semantics/altIdentifier/url/https://cimec.org.ar/ojs/index.php/mc/article/view/6066
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Nacional
dc.publisher.none.fl_str_mv Asociación Argentina de Mecánica Computacional
publisher.none.fl_str_mv Asociación Argentina de Mecánica Computacional
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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