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dc.contributor.authorPujades Beneit, Lluís
dc.contributor.authorVargas Alzate, Yeudy Felipe
dc.contributor.authorBarbat Barbat, Horia Alejandro
dc.contributor.authorGonzález Drigo, José Ramón
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria del Terreny, Cartogràfica i Geofísica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.date.accessioned2015-05-27T14:44:12Z
dc.date.available2016-05-31T00:30:59Z
dc.date.created2015-05
dc.date.issued2015-05
dc.identifier.citationPujades, L. [et al.]. Parametric model for capacity curves. "Bulletin of earthquake engineering", Maig 2015, vol. 13, núm. 5, p. 1347-1376.
dc.identifier.issn1570-761X
dc.identifier.urihttp://hdl.handle.net/2117/28071
dc.description.abstractA parametric model for capacity curves and capacity spectra is proposed. The capacity curve is considered to be composed of a linear part and a nonlinear part. The normalized nonlinear part is modelled bymeans of a cumulative lognormal function. Instead, the cumulative Beta function can be used. Moreover, this new conceptualization of the capacity curves allows defining stiffness and energy functions relative to the total energy loss and stiffness degradation at the ultimate capacity point. Based on these functions, a new damage index is proposed and it is shown that this index, obtained from nonlinear static analysis, is compatible with the Park and Ang index obtained from dynamic analysis. This capacity based damage index allows setting up a fragility model. Specific reinforced concrete buildings are used to illustrate the adequacy of the capacity, damage and fragility models. The usefulness of the models here proposed is highlighted showing how the parametric model is representative for a family of capacity curves having the same normalized nonlinear part and how important variables can be tabulated as empirical functions of the two main parameters defining the capacity model. The availability of this new mathematical model may be a powerful tool for current earthquake engineering research, especially in seismic risk assessments at regional scale and in probabilistic approaches where massive computations are needed.
dc.format.extent30 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructures
dc.subject.lcshBuildings, Reinforced concrete--Earthquake effects
dc.subject.otherCapacity curves
dc.subject.otherParametric model
dc.subject.otherStiffness degradation
dc.subject.otherEnergy loss
dc.subject.otherFragility curves
dc.subject.otherDamage assessment
dc.subject.otherREINFORCED-CONCRETE BUILDINGS
dc.subject.otherSPECTRUM METHOD
dc.subject.otherSEISMIC DAMAGE
dc.subject.otherVULNERABILITY
dc.subject.otherBARCELONA
dc.subject.otherFRAGILITY
dc.subject.otherBRIDGES
dc.titleParametric model for capacity curves
dc.typeArticle
dc.subject.lemacConstrucció en formigó armat -- Enginyeria sísmica
dc.contributor.groupUniversitat Politècnica de Catalunya. GIES - Geofísica i Enginyeria Sísmica
dc.contributor.groupUniversitat Politècnica de Catalunya. RMEE - Grup de Resistència de Materials i Estructures en l'Enginyeria
dc.identifier.doi10.1007/s10518-014-9670-5
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/article/10.1007%2Fs10518-014-9670-5
dc.rights.accessOpen Access
drac.iddocument15730913
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorPujades, L.; Vargas, Y.F.; Barbat, H.; Gonzalez-Drigo, J.R.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameBulletin of earthquake engineering
upcommons.citation.volume13
upcommons.citation.number5
upcommons.citation.startingPage1347
upcommons.citation.endingPage1376


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