Neural networks assessment of beam-to-column joints

Detalhes bibliográficos
Autor(a) principal: Lima,L. R. O. de
Data de Publicação: 2005
Outros Autores: Vellasco,P. C. G. da S., Andrade,S. A. L. de, Silva,J. G. S. da, Vellasco,M. M. B. R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782005000300015
Resumo: This paper proposes the use of artificial neural networks to predict the flexural resistance and initial stiffness of beam-to-column steel joints using the back propagation supervised learning algorithm. Three types of steel beam-to-column joints were investigated: welded, endplate and bolted with top, seat and double web angles, respectively. The neural networks results proved to be consistent with experimental and design code reference values.
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spelling Neural networks assessment of beam-to-column jointsstructural engineeringsemi-rigid jointssteel structuresneural networkssemi-rigid behaviourflexural resistancejoint stiffnessThis paper proposes the use of artificial neural networks to predict the flexural resistance and initial stiffness of beam-to-column steel joints using the back propagation supervised learning algorithm. Three types of steel beam-to-column joints were investigated: welded, endplate and bolted with top, seat and double web angles, respectively. The neural networks results proved to be consistent with experimental and design code reference values.Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM2005-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782005000300015Journal of the Brazilian Society of Mechanical Sciences and Engineering v.27 n.3 2005reponame:Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/S1678-58782005000300015info:eu-repo/semantics/openAccessLima,L. R. O. deVellasco,P. C. G. da S.Andrade,S. A. L. deSilva,J. G. S. daVellasco,M. M. B. R.eng2005-09-06T00:00:00Zoai:scielo:S1678-58782005000300015Revistahttps://www.scielo.br/j/jbsmse/https://old.scielo.br/oai/scielo-oai.php||abcm@abcm.org.br1806-36911678-5878opendoar:2005-09-06T00:00Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false
dc.title.none.fl_str_mv Neural networks assessment of beam-to-column joints
title Neural networks assessment of beam-to-column joints
spellingShingle Neural networks assessment of beam-to-column joints
Lima,L. R. O. de
structural engineering
semi-rigid joints
steel structures
neural networks
semi-rigid behaviour
flexural resistance
joint stiffness
title_short Neural networks assessment of beam-to-column joints
title_full Neural networks assessment of beam-to-column joints
title_fullStr Neural networks assessment of beam-to-column joints
title_full_unstemmed Neural networks assessment of beam-to-column joints
title_sort Neural networks assessment of beam-to-column joints
author Lima,L. R. O. de
author_facet Lima,L. R. O. de
Vellasco,P. C. G. da S.
Andrade,S. A. L. de
Silva,J. G. S. da
Vellasco,M. M. B. R.
author_role author
author2 Vellasco,P. C. G. da S.
Andrade,S. A. L. de
Silva,J. G. S. da
Vellasco,M. M. B. R.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lima,L. R. O. de
Vellasco,P. C. G. da S.
Andrade,S. A. L. de
Silva,J. G. S. da
Vellasco,M. M. B. R.
dc.subject.por.fl_str_mv structural engineering
semi-rigid joints
steel structures
neural networks
semi-rigid behaviour
flexural resistance
joint stiffness
topic structural engineering
semi-rigid joints
steel structures
neural networks
semi-rigid behaviour
flexural resistance
joint stiffness
description This paper proposes the use of artificial neural networks to predict the flexural resistance and initial stiffness of beam-to-column steel joints using the back propagation supervised learning algorithm. Three types of steel beam-to-column joints were investigated: welded, endplate and bolted with top, seat and double web angles, respectively. The neural networks results proved to be consistent with experimental and design code reference values.
publishDate 2005
dc.date.none.fl_str_mv 2005-09-01
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=S1678-58782005000300015
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782005000300015
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1678-58782005000300015
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 Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM
publisher.none.fl_str_mv Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM
dc.source.none.fl_str_mv Journal of the Brazilian Society of Mechanical Sciences and Engineering v.27 n.3 2005
reponame:Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron:ABCM
instname_str Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron_str ABCM
institution ABCM
reponame_str Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
collection Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
repository.name.fl_str_mv Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
repository.mail.fl_str_mv ||abcm@abcm.org.br
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