Quantifying Uncertainty in Steel Member Reliability via Global Sensitivity Indices

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dc.contributor.authorOmishore, Abayomics
dc.contributor.authorPuklický, Liborcs
dc.contributor.authorKala, Zdeněkcs
dc.coverage.issue09cs
dc.coverage.volume20cs
dc.date.accessioned2025-10-14T12:32:40Z
dc.date.available2025-10-14T12:32:40Z
dc.date.issued2025-09-05cs
dc.description.abstractThe study presents a comprehensive global sensitivity investigation focusing on the failure probability in torsion-loaded thin-walled steel members with uncertainties in material, geometric, and loading parameters. Two distinct sensitivity measures are scrutinised: one formulated through variance analysis of a binary failure outcome and the other based on discrete entropy. Total-effect indices, encompassing all interaction orders, are employed to assess variable importance. The results indicate that the long-term variable load significantly influences the uncertainty in structural reliability, while material and geometric parameters play a secondary role. The entropy-based measure accentuates the distinction between dominant and less influential inputs, while the variance-based approach captures a broader sensitivity structure. The findings underscore the impact of the selected sensitivity metric on input ranking and its implications for reliability assessment.en
dc.description.abstractThe study presents a comprehensive global sensitivity investigation focusing on the failure probability in torsion-loaded thin-walled steel members with uncertainties in material, geometric, and loading parameters. Two distinct sensitivity measures are scrutinised: one formulated through variance analysis of a binary failure outcome and the other based on discrete entropy. Total-effect indices, encompassing all interaction orders, are employed to assess variable importance. The results indicate that the long-term variable load significantly influences the uncertainty in structural reliability, while material and geometric parameters play a secondary role. The entropy-based measure accentuates the distinction between dominant and less influential inputs, while the variance-based approach captures a broader sensitivity structure. The findings underscore the impact of the selected sensitivity metric on input ranking and its implications for reliability assessment.en
dc.formattextcs
dc.format.extent103-112cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationWSEAS Transactions on Applied and Theoretical Mechanics. 2025, vol. 20, issue 09, p. 103-112.en
dc.identifier.doi10.37394/232011.2025.20.12cs
dc.identifier.issn2224-3429cs
dc.identifier.orcid0000-0003-4320-1593cs
dc.identifier.orcid0000-0002-1859-5538cs
dc.identifier.orcid0000-0002-6873-3855cs
dc.identifier.other199046cs
dc.identifier.researcheridA-7278-2016cs
dc.identifier.scopus35072911900cs
dc.identifier.scopus7003615152cs
dc.identifier.urihttps://hdl.handle.net/11012/255575
dc.language.isoencs
dc.relation.ispartofWSEAS Transactions on Applied and Theoretical Mechanicscs
dc.relation.urihttps://wseas.com/journals/articles.php?id=10987cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2224-3429/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectGlobal sensitivity analysisen
dc.subjectStructural reliabilityen
dc.subjectFailure probabilityen
dc.subjectEntropy indexen
dc.subjectVariance indexen
dc.subjectTorsional loadingen
dc.subjectThin-walled steel memberen
dc.subjectGlobal sensitivity analysis
dc.subjectStructural reliability
dc.subjectFailure probability
dc.subjectEntropy index
dc.subjectVariance index
dc.subjectTorsional loading
dc.subjectThin-walled steel member
dc.titleQuantifying Uncertainty in Steel Member Reliability via Global Sensitivity Indicesen
dc.title.alternativeQuantifying Uncertainty in Steel Member Reliability via Global Sensitivity Indicesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.grantNumberinfo:eu-repo/grantAgreement/GA0/GA/GA23-04712Scs
sync.item.dbidVAV-199046en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:32:40en
sync.item.modts2025.10.14 09:42:15en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav stavební mechanikycs
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