Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | por |
Título da fonte: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
Texto Completo: | http://www.repositorio.ufc.br/handle/riufc/54828 |
Resumo: | Composite materials largely used in aeronautical and aerospace industry are receiving considerable attention from oil and gas industry due to their favorable structural characteristics, as high strength/weight and stiffness/weight ratios and good corrosion resistance and fatigue life. Other important advantage is their taylorability that permits to design materials to resist applied loads in an efficient way. A common type of composite materials is the laminated composite that consist of layers with different properties bonded together. A sandwich material is a special case of laminated comprising a core of one material between two layers of another material. However, the design of a composite structure is more complex than the metallic one (i.e. homogenous) due to the large number of design variables. The application of traditional design process (try and error) can be cumbersome. A design can be achieved using numerical optimization techniques by formulating the problem as a search for design variable values that minimize an objective function and satisfy imposed constraints. Sometimes, design variables assume only discrete values and objective and constraints functions may be no differentiable and not continuous. Genetic algorithms (GAs) have been applied to overcome these issues. They are based on simulation of the Darwin’s Evolution Theory and Genetic concepts. They seem proper to optimization of laminated composite structures. In this work, the application of GAs to a composite sandwich plate is investigated and compared with classical mathematical programming results. This successful use has stimulated the application of GAs to design laminated fiber-reinforced composite materials that can be used in tubes and risers. |
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Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduícheMateriais compostosMateriais laminadosPlacas (Engenharia)Laminados compósitosComposite materials largely used in aeronautical and aerospace industry are receiving considerable attention from oil and gas industry due to their favorable structural characteristics, as high strength/weight and stiffness/weight ratios and good corrosion resistance and fatigue life. Other important advantage is their taylorability that permits to design materials to resist applied loads in an efficient way. A common type of composite materials is the laminated composite that consist of layers with different properties bonded together. A sandwich material is a special case of laminated comprising a core of one material between two layers of another material. However, the design of a composite structure is more complex than the metallic one (i.e. homogenous) due to the large number of design variables. The application of traditional design process (try and error) can be cumbersome. A design can be achieved using numerical optimization techniques by formulating the problem as a search for design variable values that minimize an objective function and satisfy imposed constraints. Sometimes, design variables assume only discrete values and objective and constraints functions may be no differentiable and not continuous. Genetic algorithms (GAs) have been applied to overcome these issues. They are based on simulation of the Darwin’s Evolution Theory and Genetic concepts. They seem proper to optimization of laminated composite structures. In this work, the application of GAs to a composite sandwich plate is investigated and compared with classical mathematical programming results. This successful use has stimulated the application of GAs to design laminated fiber-reinforced composite materials that can be used in tubes and risers.2020-10-27T14:06:28Z2020-10-27T14:06:28Z2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfSILVA, Rafael Fernandes da; MELO, Antônio Macário Cartaxo de; PARENTE JUNIOR, Evandro. Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche. In: CONGRESSO BRASILEIRO DE PESQUISA E DESENVOLVIMENTO EM PETRÓLEO E GÁS, 5º., 18 a 22 out. 2009, Fortaleza, Ceará, Brasil. Anais[…] Fortaleza, Ceará, 2009.http://www.repositorio.ufc.br/handle/riufc/54828Silva, Rafael Fernandes daMelo, Antônio Macário Cartaxo deParente Junior, Evandroporreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2020-10-27T14:06:28Zoai:repositorio.ufc.br:riufc/54828Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2020-10-27T14:06:28Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche |
title |
Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche |
spellingShingle |
Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche Silva, Rafael Fernandes da Materiais compostos Materiais laminados Placas (Engenharia) Laminados compósitos |
title_short |
Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche |
title_full |
Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche |
title_fullStr |
Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche |
title_full_unstemmed |
Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche |
title_sort |
Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche |
author |
Silva, Rafael Fernandes da |
author_facet |
Silva, Rafael Fernandes da Melo, Antônio Macário Cartaxo de Parente Junior, Evandro |
author_role |
author |
author2 |
Melo, Antônio Macário Cartaxo de Parente Junior, Evandro |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Rafael Fernandes da Melo, Antônio Macário Cartaxo de Parente Junior, Evandro |
dc.subject.por.fl_str_mv |
Materiais compostos Materiais laminados Placas (Engenharia) Laminados compósitos |
topic |
Materiais compostos Materiais laminados Placas (Engenharia) Laminados compósitos |
description |
Composite materials largely used in aeronautical and aerospace industry are receiving considerable attention from oil and gas industry due to their favorable structural characteristics, as high strength/weight and stiffness/weight ratios and good corrosion resistance and fatigue life. Other important advantage is their taylorability that permits to design materials to resist applied loads in an efficient way. A common type of composite materials is the laminated composite that consist of layers with different properties bonded together. A sandwich material is a special case of laminated comprising a core of one material between two layers of another material. However, the design of a composite structure is more complex than the metallic one (i.e. homogenous) due to the large number of design variables. The application of traditional design process (try and error) can be cumbersome. A design can be achieved using numerical optimization techniques by formulating the problem as a search for design variable values that minimize an objective function and satisfy imposed constraints. Sometimes, design variables assume only discrete values and objective and constraints functions may be no differentiable and not continuous. Genetic algorithms (GAs) have been applied to overcome these issues. They are based on simulation of the Darwin’s Evolution Theory and Genetic concepts. They seem proper to optimization of laminated composite structures. In this work, the application of GAs to a composite sandwich plate is investigated and compared with classical mathematical programming results. This successful use has stimulated the application of GAs to design laminated fiber-reinforced composite materials that can be used in tubes and risers. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009 2020-10-27T14:06:28Z 2020-10-27T14:06:28Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
SILVA, Rafael Fernandes da; MELO, Antônio Macário Cartaxo de; PARENTE JUNIOR, Evandro. Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche. In: CONGRESSO BRASILEIRO DE PESQUISA E DESENVOLVIMENTO EM PETRÓLEO E GÁS, 5º., 18 a 22 out. 2009, Fortaleza, Ceará, Brasil. Anais[…] Fortaleza, Ceará, 2009. http://www.repositorio.ufc.br/handle/riufc/54828 |
identifier_str_mv |
SILVA, Rafael Fernandes da; MELO, Antônio Macário Cartaxo de; PARENTE JUNIOR, Evandro. Aplicação de algoritmos genéticos na otimização de placas laminadas tipo sanduíche. In: CONGRESSO BRASILEIRO DE PESQUISA E DESENVOLVIMENTO EM PETRÓLEO E GÁS, 5º., 18 a 22 out. 2009, Fortaleza, Ceará, Brasil. Anais[…] Fortaleza, Ceará, 2009. |
url |
http://www.repositorio.ufc.br/handle/riufc/54828 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da Universidade Federal do Ceará (UFC) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
collection |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
repository.name.fl_str_mv |
Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
bu@ufc.br || repositorio@ufc.br |
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1823806653422632960 |