An efficient anti-optimization approach for uncertainty analysis in composite laminates
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/232719 |
Resumo: | This work presents an efficient approach to quantify uncertainties in composite laminates using the interval analysis, anti-optimization technique, and the α-cut procedure. The solutions are compared with the traditional and robust Monte Carlo method in 3 cases scenarios: natural frequencies, buckling, and strength safe factor. For natural frequencies and buckling loads, the presented Interval based methodology showed 2.5% to 4.5% larger error values when compared to the Monte Carlo method using the same number of function calls. This implies a larger uncertain area, and hence, a better solution. For the strength test using Tsai-Wu failure theory, the error values are even greater: 22% to 46%. A violation of the failure limit was detected by the proposed Interval based approach, but not detected by Monte Carlo method. The solutions show that the presented methodology yields a safer and more precise analysis when compared to the traditional Monte Carlo approach. |
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Santana, Pedro BührerGrotti, EwertonGomes, Herbert Martins2021-12-09T04:35:44Z20211516-1439http://hdl.handle.net/10183/232719001133368This work presents an efficient approach to quantify uncertainties in composite laminates using the interval analysis, anti-optimization technique, and the α-cut procedure. The solutions are compared with the traditional and robust Monte Carlo method in 3 cases scenarios: natural frequencies, buckling, and strength safe factor. For natural frequencies and buckling loads, the presented Interval based methodology showed 2.5% to 4.5% larger error values when compared to the Monte Carlo method using the same number of function calls. This implies a larger uncertain area, and hence, a better solution. For the strength test using Tsai-Wu failure theory, the error values are even greater: 22% to 46%. A violation of the failure limit was detected by the proposed Interval based approach, but not detected by Monte Carlo method. The solutions show that the presented methodology yields a safer and more precise analysis when compared to the traditional Monte Carlo approach.application/pdfengMaterials research : ibero-american journal of materials. São Carlos, SP. Vol. 24, Suppl. 2 (2021), e20210334, 9 p.Compósitos laminadosIncerteza de mediçãoAnti-optimizationLaminated compositesInterval-based uncertainty analysisConvex hullAn efficient anti-optimization approach for uncertainty analysis in composite laminatesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001133368.pdf.txt001133368.pdf.txtExtracted Texttext/plain37039http://www.lume.ufrgs.br/bitstream/10183/232719/2/001133368.pdf.txte06e83684e25fb0d6b0873c851529254MD52ORIGINAL001133368.pdfTexto completo (inglês)application/pdf1726136http://www.lume.ufrgs.br/bitstream/10183/232719/1/001133368.pdfdff1cb5ea6be49c7096a4a202124059cMD5110183/2327192021-12-19 05:29:53.515007oai:www.lume.ufrgs.br:10183/232719Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-12-19T07:29:53Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
An efficient anti-optimization approach for uncertainty analysis in composite laminates |
title |
An efficient anti-optimization approach for uncertainty analysis in composite laminates |
spellingShingle |
An efficient anti-optimization approach for uncertainty analysis in composite laminates Santana, Pedro Bührer Compósitos laminados Incerteza de medição Anti-optimization Laminated composites Interval-based uncertainty analysis Convex hull |
title_short |
An efficient anti-optimization approach for uncertainty analysis in composite laminates |
title_full |
An efficient anti-optimization approach for uncertainty analysis in composite laminates |
title_fullStr |
An efficient anti-optimization approach for uncertainty analysis in composite laminates |
title_full_unstemmed |
An efficient anti-optimization approach for uncertainty analysis in composite laminates |
title_sort |
An efficient anti-optimization approach for uncertainty analysis in composite laminates |
author |
Santana, Pedro Bührer |
author_facet |
Santana, Pedro Bührer Grotti, Ewerton Gomes, Herbert Martins |
author_role |
author |
author2 |
Grotti, Ewerton Gomes, Herbert Martins |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Santana, Pedro Bührer Grotti, Ewerton Gomes, Herbert Martins |
dc.subject.por.fl_str_mv |
Compósitos laminados Incerteza de medição |
topic |
Compósitos laminados Incerteza de medição Anti-optimization Laminated composites Interval-based uncertainty analysis Convex hull |
dc.subject.eng.fl_str_mv |
Anti-optimization Laminated composites Interval-based uncertainty analysis Convex hull |
description |
This work presents an efficient approach to quantify uncertainties in composite laminates using the interval analysis, anti-optimization technique, and the α-cut procedure. The solutions are compared with the traditional and robust Monte Carlo method in 3 cases scenarios: natural frequencies, buckling, and strength safe factor. For natural frequencies and buckling loads, the presented Interval based methodology showed 2.5% to 4.5% larger error values when compared to the Monte Carlo method using the same number of function calls. This implies a larger uncertain area, and hence, a better solution. For the strength test using Tsai-Wu failure theory, the error values are even greater: 22% to 46%. A violation of the failure limit was detected by the proposed Interval based approach, but not detected by Monte Carlo method. The solutions show that the presented methodology yields a safer and more precise analysis when compared to the traditional Monte Carlo approach. |
publishDate |
2021 |
dc.date.accessioned.fl_str_mv |
2021-12-09T04:35:44Z |
dc.date.issued.fl_str_mv |
2021 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/232719 |
dc.identifier.issn.pt_BR.fl_str_mv |
1516-1439 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001133368 |
identifier_str_mv |
1516-1439 001133368 |
url |
http://hdl.handle.net/10183/232719 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Materials research : ibero-american journal of materials. São Carlos, SP. Vol. 24, Suppl. 2 (2021), e20210334, 9 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
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UFRGS |
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Repositório Institucional da UFRGS |
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Repositório Institucional da UFRGS |
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