Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms

Detalhes bibliográficos
Autor(a) principal: Alves,Elcio Cassimiro
Data de Publicação: 2021
Outros Autores: Ramos,José Ronaldo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: REM - International Engineering Journal
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2021000200173
Resumo: Abstract The objective of this study is to present the formulation and applications of the optimization problem of steel-concrete composite alveolar beams. In addition to presenting the formulation, a comparative analysis of the predominant collapse modes is performed numerically via the finite element method. The optimization program was developed with the GUI platform available in Matlab 2016. Since this is a discrete problem, a Genetic Algorithm (GA) was used to solve the optimization model, implemented with the Matlab optimization toolbox. Numerical examples using finite elements model are presented to validate the solution and analyze its effectiveness, along with an assesment of the predominant collapse modes for a group of 12 beams. The results show that more efficient designs are obtained when optimization tools are applied.
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spelling Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithmsalveolar beamscomposite beamgenetic algorithmcollapse modesAbstract The objective of this study is to present the formulation and applications of the optimization problem of steel-concrete composite alveolar beams. In addition to presenting the formulation, a comparative analysis of the predominant collapse modes is performed numerically via the finite element method. The optimization program was developed with the GUI platform available in Matlab 2016. Since this is a discrete problem, a Genetic Algorithm (GA) was used to solve the optimization model, implemented with the Matlab optimization toolbox. Numerical examples using finite elements model are presented to validate the solution and analyze its effectiveness, along with an assesment of the predominant collapse modes for a group of 12 beams. The results show that more efficient designs are obtained when optimization tools are applied.Fundação Gorceix2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2021000200173REM - International Engineering Journal v.74 n.2 2021reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672020740060info:eu-repo/semantics/openAccessAlves,Elcio CassimiroRamos,José Ronaldoeng2021-03-25T00:00:00Zoai:scielo:S2448-167X2021000200173Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2021-03-25T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false
dc.title.none.fl_str_mv Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
title Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
spellingShingle Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
Alves,Elcio Cassimiro
alveolar beams
composite beam
genetic algorithm
collapse modes
title_short Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
title_full Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
title_fullStr Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
title_full_unstemmed Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
title_sort Numerical analysis of collapse modes in optimized design of alveolar Steel-concrete composite beams via genetic algorithms
author Alves,Elcio Cassimiro
author_facet Alves,Elcio Cassimiro
Ramos,José Ronaldo
author_role author
author2 Ramos,José Ronaldo
author2_role author
dc.contributor.author.fl_str_mv Alves,Elcio Cassimiro
Ramos,José Ronaldo
dc.subject.por.fl_str_mv alveolar beams
composite beam
genetic algorithm
collapse modes
topic alveolar beams
composite beam
genetic algorithm
collapse modes
description Abstract The objective of this study is to present the formulation and applications of the optimization problem of steel-concrete composite alveolar beams. In addition to presenting the formulation, a comparative analysis of the predominant collapse modes is performed numerically via the finite element method. The optimization program was developed with the GUI platform available in Matlab 2016. Since this is a discrete problem, a Genetic Algorithm (GA) was used to solve the optimization model, implemented with the Matlab optimization toolbox. Numerical examples using finite elements model are presented to validate the solution and analyze its effectiveness, along with an assesment of the predominant collapse modes for a group of 12 beams. The results show that more efficient designs are obtained when optimization tools are applied.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2021000200173
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2021000200173
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672020740060
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundação Gorceix
publisher.none.fl_str_mv Fundação Gorceix
dc.source.none.fl_str_mv REM - International Engineering Journal v.74 n.2 2021
reponame:REM - International Engineering Journal
instname:Fundação Gorceix (FG)
instacron:FG
instname_str Fundação Gorceix (FG)
instacron_str FG
institution FG
reponame_str REM - International Engineering Journal
collection REM - International Engineering Journal
repository.name.fl_str_mv REM - International Engineering Journal - Fundação Gorceix (FG)
repository.mail.fl_str_mv ||editor@rem.com.br
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