Nonlinear probabilistic structural assessment: Findings from Austrian and Czech bridges

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dc.contributor.authorNovák, Drahomírcs
dc.contributor.authorStrauss, Alfredcs
dc.contributor.authorNovák, Lukášcs
dc.contributor.authorLehký, Davidcs
dc.contributor.authorSadílková Šomodíková, Martinacs
dc.contributor.authorLipowczan, Martincs
dc.contributor.authorSlowik, Ondřejcs
dc.contributor.authorDoležel, Jiřícs
dc.contributor.authorPukl, Radomírcs
dc.contributor.authorSattler, Fabiancs
dc.contributor.authorApostolidi, E.cs
dc.coverage.issue5cs
dc.coverage.volume6cs
dc.date.issued2023-09-25cs
dc.description.abstractConsideration of uncertainties in bridge structural engineering is a growing topic because it provides valuable information on the reliability of bridges in time while addressing life-cycle aspects. Utilization of nonlinear finite element method (NLFEM) and Monte Carlo (MC) type simulation is essential for modelling of the concrete bridge random behaviour and its reliability assessments. This contribution describes keystones of a complex methodology for statistical, reliability and risk analyses of concrete structures including advanced nonlinear finite element analysis, uncer-tainty propagation and degradation modelling. It presents virtual simulation used on the way from assessment of experimental results to reliability analysis of a bridge structure, based on randomization of nonlinear fracture mechanics finite element analysis. Keystones of complex methodology are material parameters identification, nonlinear computational modelling, uncertainties propagation, surrogate modelling, degradation modelling, and safety formats. The paper describes methodology and for a routine complex assessment utilizing developed software tools and practical application of the approach for selected case studies of concrete bridges from Austria and the Czech Republic.en
dc.formattextcs
dc.format.extent1242-1251cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationce/papers. 2023, vol. 6, issue 5, p. 1242-1251.en
dc.identifier.doi10.1002/cepa.2195cs
dc.identifier.issn2509-7075cs
dc.identifier.orcid0000-0003-0744-8265cs
dc.identifier.orcid0000-0002-1674-7083cs
dc.identifier.orcid0000-0001-9387-2745cs
dc.identifier.orcid0000-0001-8176-4114cs
dc.identifier.orcid0000-0001-7117-4946cs
dc.identifier.orcid0000-0003-1541-687Xcs
dc.identifier.orcid0000-0003-0087-9257cs
dc.identifier.orcid0000-0002-2013-4300cs
dc.identifier.other184846cs
dc.identifier.researcheridAAM-4563-2020cs
dc.identifier.researcheridC-7692-2019cs
dc.identifier.researcheridAAK-9492-2020cs
dc.identifier.researcheridAAD-6219-2019cs
dc.identifier.scopus7103231214cs
dc.identifier.scopus57202952368cs
dc.identifier.scopus56389654700cs
dc.identifier.scopus56829580400cs
dc.identifier.scopus57192208864cs
dc.identifier.urihttp://hdl.handle.net/11012/214423
dc.language.isoencs
dc.publisherErnst & Sohn GmbH & Co. KG.cs
dc.relation.ispartofce/paperscs
dc.relation.urihttps://onlinelibrary.wiley.com/doi/epdf/10.1002/cepa.2195cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2509-7075/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectBridge assessmenten
dc.subjectReliabilityen
dc.subjectUncertainties propagationen
dc.subjectNonlinear simulationen
dc.subjectSurrogate modellingen
dc.subjectDegradationen
dc.subjectSafety formatsen
dc.titleNonlinear probabilistic structural assessment: Findings from Austrian and Czech bridgesen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-184846en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:45:34en
sync.item.modts2025.01.17 15:29:31en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav stavební mechanikycs
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