Optimum design of prestressed steel beams via genetic algorithm

Detalhes bibliográficos
Autor(a) principal: Netto,Protáze Mageveske
Data de Publicação: 2023
Outros Autores: Calenzani,Adenílica Fernanda Grobério, Alves,Élcio Cassimiro
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=S2448-167X2023000100029
Resumo: Abstract The objective of this article is to present an optimization problem formulation to reduce the total structural cost of prestressed doubly-symmetric and monosymmetric I-shaped steel simply supported beams with straight tendons. The optimization problem was implemented via MATLAB’s native Genetic Algorithm. The validation and evaluation processes adopted two examples from literature. The design method follows the Brazilian standard NBR 8800:2008 for the Ultimate and Serviceability Limit States. The best result was found for a monosymmetric case by up to 20.00% and 25.70%. Saving in material weight and installation of tendons, without exceeding the security limits, was also effective. Furthermore, the results presented an efficient alternative for structural engineering, providing a significant model for similar analyzes.
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spelling Optimum design of prestressed steel beams via genetic algorithmprestressingsteel beamsgenetic algorithmoptimizationAbstract The objective of this article is to present an optimization problem formulation to reduce the total structural cost of prestressed doubly-symmetric and monosymmetric I-shaped steel simply supported beams with straight tendons. The optimization problem was implemented via MATLAB’s native Genetic Algorithm. The validation and evaluation processes adopted two examples from literature. The design method follows the Brazilian standard NBR 8800:2008 for the Ultimate and Serviceability Limit States. The best result was found for a monosymmetric case by up to 20.00% and 25.70%. Saving in material weight and installation of tendons, without exceeding the security limits, was also effective. Furthermore, the results presented an efficient alternative for structural engineering, providing a significant model for similar analyzes.Fundação Gorceix2023-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2023000100029REM - International Engineering Journal v.76 n.1 2023reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672022760010info:eu-repo/semantics/openAccessNetto,Protáze MageveskeCalenzani,Adenílica Fernanda GrobérioAlves,Élcio Cassimiroeng2023-01-02T00:00:00Zoai:scielo:S2448-167X2023000100029Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2023-01-02T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false
dc.title.none.fl_str_mv Optimum design of prestressed steel beams via genetic algorithm
title Optimum design of prestressed steel beams via genetic algorithm
spellingShingle Optimum design of prestressed steel beams via genetic algorithm
Netto,Protáze Mageveske
prestressing
steel beams
genetic algorithm
optimization
title_short Optimum design of prestressed steel beams via genetic algorithm
title_full Optimum design of prestressed steel beams via genetic algorithm
title_fullStr Optimum design of prestressed steel beams via genetic algorithm
title_full_unstemmed Optimum design of prestressed steel beams via genetic algorithm
title_sort Optimum design of prestressed steel beams via genetic algorithm
author Netto,Protáze Mageveske
author_facet Netto,Protáze Mageveske
Calenzani,Adenílica Fernanda Grobério
Alves,Élcio Cassimiro
author_role author
author2 Calenzani,Adenílica Fernanda Grobério
Alves,Élcio Cassimiro
author2_role author
author
dc.contributor.author.fl_str_mv Netto,Protáze Mageveske
Calenzani,Adenílica Fernanda Grobério
Alves,Élcio Cassimiro
dc.subject.por.fl_str_mv prestressing
steel beams
genetic algorithm
optimization
topic prestressing
steel beams
genetic algorithm
optimization
description Abstract The objective of this article is to present an optimization problem formulation to reduce the total structural cost of prestressed doubly-symmetric and monosymmetric I-shaped steel simply supported beams with straight tendons. The optimization problem was implemented via MATLAB’s native Genetic Algorithm. The validation and evaluation processes adopted two examples from literature. The design method follows the Brazilian standard NBR 8800:2008 for the Ultimate and Serviceability Limit States. The best result was found for a monosymmetric case by up to 20.00% and 25.70%. Saving in material weight and installation of tendons, without exceeding the security limits, was also effective. Furthermore, the results presented an efficient alternative for structural engineering, providing a significant model for similar analyzes.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-01
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=S2448-167X2023000100029
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2023000100029
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672022760010
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.76 n.1 2023
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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