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dc.contributor.authorMansouri, Iman
dc.contributor.authorChacón Flores, Rolando Antonio
dc.contributor.authorWan Hu, Jong
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2017-09-07T12:46:54Z
dc.date.available2018-05-01T00:30:22Z
dc.date.issued2017-08
dc.identifier.citationMansouri, I., Chacon, R., Wan, J. Improved predictive model to the cross-sectional resistance of CFT. "Journal of mechanical science and technology", Agost 2017, vol. 31, núm. 8, p. 3887-3895.
dc.identifier.issn1738-494X
dc.identifier.urihttp://hdl.handle.net/2117/107504
dc.description.abstractThis paper proposes an improved theoretical prediction equation for Concrete-filled steel tubes (CFT) subjected to compressive forces. This ultimate load capacity is inferred from a database of 344 experimental results reported in the literature by using Gene expression programming (GEP). Moreover, a series of structural comparisons between design provisions, other mechanically-derived expressions and the proposed prediction are addressed. The levels of accuracy, practical use and phenomenological understanding of the phenomenon are pinpointed. The results obtained are in good agreement with both the experimental and theoretical predictions. Advantages and disadvantages of such type of predictions are pinpointed.
dc.format.extent9 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Materials i estructures de formigó
dc.subject.lcshConcrete-filled tubes
dc.subject.otherConcrete-filled tubes
dc.subject.otherCFT
dc.subject.otherGene expression programming
dc.subject.otherGEP
dc.titleImproved predictive model to the cross-sectional resistance of CFT
dc.typeArticle
dc.subject.lemacTubs -- Formigó armat
dc.contributor.groupUniversitat Politècnica de Catalunya. ATEM - Anàlisi i Tecnologia d'Estructures i Materials
dc.identifier.doi10.1007/s12206-017-0733-9
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s12206-017-0733-9
dc.rights.accessOpen Access
drac.iddocument21475427
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorMansouri, I., Chacon, R., Wan, J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of mechanical science and technology
upcommons.citation.volume31
upcommons.citation.number8
upcommons.citation.startingPage3887
upcommons.citation.endingPage3895


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