Optimization of structures subjected to dynamic load: deterministic and probabilistic methods

Detalhes bibliográficos
Autor(a) principal: Alves,Élcio Cassimiro
Data de Publicação: 2016
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=S2448-167X2016000300281
Resumo: Abstract This paper deals with the deterministic and probabilistic optimization of structures against bending when submitted to dynamic loads. The deterministic optimization problem considers the plate submitted to a time varying load while the probabilistic one takes into account a random loading defined by a power spectral density function. The correlation between the two problems is made by one Fourier Transformed. The finite element method is used to model the structures. The sensitivity analysis is performed through the analytical method and the optimization problem is dealt with by the method of interior points. A comparison between the deterministic optimisation and the probabilistic one with a power spectral density function compatible with the time varying load shows very good results.
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spelling Optimization of structures subjected to dynamic load: deterministic and probabilistic methodsoptimizationsensitivity analysisdeterministic analysisprobabilistic analysisAbstract This paper deals with the deterministic and probabilistic optimization of structures against bending when submitted to dynamic loads. The deterministic optimization problem considers the plate submitted to a time varying load while the probabilistic one takes into account a random loading defined by a power spectral density function. The correlation between the two problems is made by one Fourier Transformed. The finite element method is used to model the structures. The sensitivity analysis is performed through the analytical method and the optimization problem is dealt with by the method of interior points. A comparison between the deterministic optimisation and the probabilistic one with a power spectral density function compatible with the time varying load shows very good results.Fundação Gorceix2016-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2016000300281REM - International Engineering Journal v.69 n.3 2016reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672015690147info:eu-repo/semantics/openAccessAlves,Élcio Cassimiroeng2016-08-10T00:00:00Zoai:scielo:S2448-167X2016000300281Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2016-08-10T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false
dc.title.none.fl_str_mv Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
title Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
spellingShingle Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
Alves,Élcio Cassimiro
optimization
sensitivity analysis
deterministic analysis
probabilistic analysis
title_short Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
title_full Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
title_fullStr Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
title_full_unstemmed Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
title_sort Optimization of structures subjected to dynamic load: deterministic and probabilistic methods
author Alves,Élcio Cassimiro
author_facet Alves,Élcio Cassimiro
author_role author
dc.contributor.author.fl_str_mv Alves,Élcio Cassimiro
dc.subject.por.fl_str_mv optimization
sensitivity analysis
deterministic analysis
probabilistic analysis
topic optimization
sensitivity analysis
deterministic analysis
probabilistic analysis
description Abstract This paper deals with the deterministic and probabilistic optimization of structures against bending when submitted to dynamic loads. The deterministic optimization problem considers the plate submitted to a time varying load while the probabilistic one takes into account a random loading defined by a power spectral density function. The correlation between the two problems is made by one Fourier Transformed. The finite element method is used to model the structures. The sensitivity analysis is performed through the analytical method and the optimization problem is dealt with by the method of interior points. A comparison between the deterministic optimisation and the probabilistic one with a power spectral density function compatible with the time varying load shows very good results.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-01
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=S2448-167X2016000300281
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2016000300281
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672015690147
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.69 n.3 2016
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
_version_ 1754734690490646528

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