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Estimating the temperature on the reinforcing bars of composite slabs under fire conditions

dc.contributor.authorBalsa, Carlos
dc.contributor.authorPiloto, Paulo A.G.
dc.date.accessioned2023-02-28T15:50:26Z
dc.date.available2023-02-28T15:50:26Z
dc.date.issued2022
dc.description.abstractA three-dimensional computational model based on finite elements was developed to evaluate the thermal behaviour of composite slabs with steel deck exposed to a standard fire. The resulting numerical temperatures are then used to obtain a new analytical method, which is an alternative to the simplified method provided by the standard, to accurately determine the temperatures at the reinforcing bars (rebar). The fitting of the analytical model to the numerical data was done by solving a linear least squares problem using the singular value decomposition. The resulting formula fits very well the numerical data, allowing to make predictions of the temperature in the rebar with an approximation error equal to zero and an estimating error at least 77% lower than that obtained with the proposal included in the standard.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBalsa, Carlos; Piloto, Paulo A.G. (2022). Estimating the temperature on the reinforcing bars of composite slabs under fire conditions. In 21st EPIA Conference on Artificial Intelligence, EPIA 2022. Lisbonpt_PT
dc.identifier.doi10.1007/978-3-031-16474-3_1pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27321
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectTransient heat transfer problempt_PT
dc.subjectComputational simulationpt_PT
dc.subjectConcrete-steel slabpt_PT
dc.subjectFire ratingpt_PT
dc.subjectLeast squares methodpt_PT
dc.subjectSingular value decompositionpt_PT
dc.titleEstimating the temperature on the reinforcing bars of composite slabs under fire conditionspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceLisbonpt_PT
oaire.citation.endPage14pt_PT
oaire.citation.startPage3pt_PT
oaire.citation.title21st EPIA Conference on Artificial Intelligence, EPIA 2022pt_PT
person.familyNameBalsa
person.familyNamePiloto
person.givenNameCarlos
person.givenNamePaulo A.G.
person.identifier1721518
person.identifier.ciencia-idDE1E-2F7A-AAB1
person.identifier.ciencia-id0519-449D-6F13
person.identifier.orcid0000-0003-2431-8665
person.identifier.orcid0000-0003-2834-0501
person.identifier.ridM-8735-2013
person.identifier.ridB-4866-2008
person.identifier.scopus-author-id23391719100
person.identifier.scopus-author-id6506406159
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd0e5ccff-9696-4f4f-9567-8d698a6bf17d
relation.isAuthorOfPublicationbaaee084-ab97-4c95-b636-24ab6bab0e3e
relation.isAuthorOfPublication.latestForDiscoveryd0e5ccff-9696-4f4f-9567-8d698a6bf17d

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