Simulation of tri-axial stress redistribution effect in concrete under fatigue loading: lattice discrete model vs. microplane model

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dc.contributor.authorAguilar Rueda, Mariocs
dc.contributor.authorVořechovský, Miroslavcs
dc.contributor.authorBAKTHEER, Abedulgadercs
dc.contributor.authorWan-Wendner, Romancs
dc.contributor.authorVorel, Jancs
dc.contributor.authorChudoba, Rostislavcs
dc.date.accessioned2025-10-24T10:04:56Z
dc.date.available2025-10-24T10:04:56Z
dc.date.issued2024-10-29cs
dc.description.abstractAdaptive sequential sampling provides a good technique to refine and increase the accuracy of surrogate models, used for reliability analysis, based on the selection of possible future candidates in the input domain (i.e., random variables). In the present research, different methodologies for obtaining the training sample for a surrogate model were explored, considering sample size, distribution of the points, and identification of the failure region. The effects on the reliability of the slope stability under vertical loading based on the safety factors from Bishop’s simplified method were obtained. The results reinforce the importance of the characteristics of the training sample used for the application of surrogate models to describe limit states and their accuracy when employed for the computation of the reliability index.en
dc.description.abstractAdaptive sequential sampling provides a good technique to refine and increase the accuracy of surrogate models, used for reliability analysis, based on the selection of possible future candidates in the input domain (i.e., random variables). In the present research, different methodologies for obtaining the training sample for a surrogate model were explored, considering sample size, distribution of the points, and identification of the failure region. The effects on the reliability of the slope stability under vertical loading based on the safety factors from Bishop’s simplified method were obtained. The results reinforce the importance of the characteristics of the training sample used for the application of surrogate models to describe limit states and their accuracy when employed for the computation of the reliability index.en
dc.formattextcs
dc.format.extent12cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citation14th WCCM-ECCOMAS Congress 2020. 2024, 12 p.en
dc.identifier.doi10.23967/eccomas.2024.046cs
dc.identifier.issn2696-6999cs
dc.identifier.orcid0000-0002-3366-5557cs
dc.identifier.orcid0000-0003-3104-2927cs
dc.identifier.other194160cs
dc.identifier.researcheridA-1759-2010cs
dc.identifier.researcheridE-1791-2016cs
dc.identifier.scopus57260228700cs
dc.identifier.scopus9634913700cs
dc.identifier.urihttps://hdl.handle.net/11012/255599
dc.language.isoencs
dc.publisherCIMNEcs
dc.relation.ispartof14th WCCM-ECCOMAS Congress 2020cs
dc.relation.urihttps://www.scipedia.com/public/Aguilar_et_al_2024acs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2696-6999/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/cs
dc.subjectFailure surface refinementen
dc.subjectPerformance of transportation assetsen
dc.subjectStructure-related parameter uncertaintiesen
dc.subjectReliability assessmenten
dc.subjectFailure surface refinement
dc.subjectPerformance of transportation assets
dc.subjectStructure-related parameter uncertainties
dc.subjectReliability assessment
dc.titleSimulation of tri-axial stress redistribution effect in concrete under fatigue loading: lattice discrete model vs. microplane modelen
dc.title.alternativeSimulation of tri-axial stress redistribution effect in concrete under fatigue loading: lattice discrete model vs. microplane modelen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-194160en
sync.item.dbtypeVAVen
sync.item.insts2025.10.24 12:04:56en
sync.item.modts2025.10.24 10:33:11en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav stavební mechanikycs
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