An interval-based algorithm for uncertainty quantification in composite structures

Detalhes bibliográficos
Autor(a) principal: Gomes, Herbert Martins
Data de Publicação: 2020
Outros Autores: Santana, Pedro Bührer, Grotti, Ewerton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/210484
Resumo: Composite materials have been used extensively in the aeronautical and automotive industries. Despite the improved knowledge about the mechanical and dynamic behavior and modes of failure, it is still not well explained some variability from experimental data obtained for, a priory, and nominally identical specimens. Epistemic and aleatory uncertainties are alleged as the main causes for these discrepancies besides the uncertainties from modeling. Regarding the structural damping of such structures, the phenomena involved are not completely revealed nor modeled. This paper presents an interval-based algorithm for uncertainty quantification in composite structures. The α-cut procedures are used to account for the several levels of uncertainty present in material properties, geometrical imperfections and external loading. Due to the lack of reliable statistical information about such uncertainties, the interval-based approach is used in this study and compared with the robust solution by Monte Carlo simulations.
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spelling Gomes, Herbert MartinsSantana, Pedro BührerGrotti, Ewerton2020-06-20T03:41:21Z20202248-9622http://hdl.handle.net/10183/210484001114116Composite materials have been used extensively in the aeronautical and automotive industries. Despite the improved knowledge about the mechanical and dynamic behavior and modes of failure, it is still not well explained some variability from experimental data obtained for, a priory, and nominally identical specimens. Epistemic and aleatory uncertainties are alleged as the main causes for these discrepancies besides the uncertainties from modeling. Regarding the structural damping of such structures, the phenomena involved are not completely revealed nor modeled. This paper presents an interval-based algorithm for uncertainty quantification in composite structures. The α-cut procedures are used to account for the several levels of uncertainty present in material properties, geometrical imperfections and external loading. Due to the lack of reliable statistical information about such uncertainties, the interval-based approach is used in this study and compared with the robust solution by Monte Carlo simulations.application/pdfengInternational journal of engineering research and application. [Ghaziabad]. Vol. 10, no. 1 (Jan. 2020), p. 46-50CompósitosComportamento mecânicoLaminated compositesUncertaintyInterval-based uncertaintyConvex hullBuckling loadsAn interval-based algorithm for uncertainty quantification in composite structuresEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001114116.pdf.txt001114116.pdf.txtExtracted Texttext/plain18111http://www.lume.ufrgs.br/bitstream/10183/210484/2/001114116.pdf.txt0e6be62903174fe173a88e04ee50bb3cMD52ORIGINAL001114116.pdfTexto completo (inglês)application/pdf778985http://www.lume.ufrgs.br/bitstream/10183/210484/1/001114116.pdf23875b71fbf1e5c76ae8500d6665c465MD5110183/2104842020-06-21 03:36:25.149342oai:www.lume.ufrgs.br:10183/210484Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2020-06-21T06:36:25Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv An interval-based algorithm for uncertainty quantification in composite structures
title An interval-based algorithm for uncertainty quantification in composite structures
spellingShingle An interval-based algorithm for uncertainty quantification in composite structures
Gomes, Herbert Martins
Compósitos
Comportamento mecânico
Laminated composites
Uncertainty
Interval-based uncertainty
Convex hull
Buckling loads
title_short An interval-based algorithm for uncertainty quantification in composite structures
title_full An interval-based algorithm for uncertainty quantification in composite structures
title_fullStr An interval-based algorithm for uncertainty quantification in composite structures
title_full_unstemmed An interval-based algorithm for uncertainty quantification in composite structures
title_sort An interval-based algorithm for uncertainty quantification in composite structures
author Gomes, Herbert Martins
author_facet Gomes, Herbert Martins
Santana, Pedro Bührer
Grotti, Ewerton
author_role author
author2 Santana, Pedro Bührer
Grotti, Ewerton
author2_role author
author
dc.contributor.author.fl_str_mv Gomes, Herbert Martins
Santana, Pedro Bührer
Grotti, Ewerton
dc.subject.por.fl_str_mv Compósitos
Comportamento mecânico
topic Compósitos
Comportamento mecânico
Laminated composites
Uncertainty
Interval-based uncertainty
Convex hull
Buckling loads
dc.subject.eng.fl_str_mv Laminated composites
Uncertainty
Interval-based uncertainty
Convex hull
Buckling loads
description Composite materials have been used extensively in the aeronautical and automotive industries. Despite the improved knowledge about the mechanical and dynamic behavior and modes of failure, it is still not well explained some variability from experimental data obtained for, a priory, and nominally identical specimens. Epistemic and aleatory uncertainties are alleged as the main causes for these discrepancies besides the uncertainties from modeling. Regarding the structural damping of such structures, the phenomena involved are not completely revealed nor modeled. This paper presents an interval-based algorithm for uncertainty quantification in composite structures. The α-cut procedures are used to account for the several levels of uncertainty present in material properties, geometrical imperfections and external loading. Due to the lack of reliable statistical information about such uncertainties, the interval-based approach is used in this study and compared with the robust solution by Monte Carlo simulations.
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-06-20T03:41:21Z
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dc.relation.ispartof.pt_BR.fl_str_mv International journal of engineering research and application. [Ghaziabad]. Vol. 10, no. 1 (Jan. 2020), p. 46-50
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