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Seismic risk assessment using stochastic nonlinear models
dc.contributor.author | Vargas Alzate, Yeudy Felipe |
dc.contributor.author | Lantada, Nieves |
dc.contributor.author | González Drigo, José Ramón |
dc.contributor.author | Pujades Beneit, Lluís |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria |
dc.date.accessioned | 2020-05-11T17:02:39Z |
dc.date.available | 2020-05-11T17:02:39Z |
dc.date.issued | 2020-02 |
dc.identifier.citation | Vargas, Y. [et al.]. Seismic risk assessment using stochastic nonlinear models. "Sustainability", Febrer 2020, vol. 12, núm. 4, p. 1308:1-1308:21. |
dc.identifier.issn | 2071-1050 |
dc.identifier.uri | http://hdl.handle.net/2117/187109 |
dc.description.abstract | The basic input when seismic risk is estimated in urban environments is the expected physical damage level of buildings. The vulnerability index and capacity spectrum-based methods are the tools that have been used most to estimate the probability of occurrence of this important variable. Although both methods provide adequate estimates, they involve simplifications that are no longer necessary, given the current capacity of computers. In this study, an advanced method is developed that avoids many of these simplifications. The method starts from current state-of-the-art approaches, but it incorporates non-linear dynamic analysis and a probabilistic focus. Thus, the method considers not only the nonlinear dynamic response of the structures, modeled as multi degree of freedom systems (MDoF), but also uncertainties related to the loads, the geometry of the buildings, the mechanical properties of the materials and the seismic action. Once the method has been developed, the buildings are subjected to earthquake records that are selected and scaled according to the seismic hazard of the site and considering the probabilistic nature of the seismic actions. The practical applications of the method are illustrated with a case study: framed reinforced concrete buildings that are typical of an important district, the Eixample, in Barcelona (Spain). The building typology and the district were chosen because the seismic risk in Barcelona has been thoroughly studied, so detailed information about buildings’ features, seismic hazard and expected risk is available. Hence, the current results can be compared with those obtained using simpler, less sophisticated methods. The main aspects of the method are presented and discussed first. Then, the case study is described and the results obtained with the capacity spectrum method are compared with the results using the approach presented here. The results at hand show reasonably good agreement with previous seismic damage and risk scenarios in Barcelona, but the new method provides richer, more detailed, more reliable information. This is particularly useful for seismic risk reduction, prevention and management, to move towards more resilient, sustainable cities. |
dc.description.sponsorship | This research was funded by the research grant program Marie Sklodowska-Curie Actions (MSCA), European Union/European (H2020-MSCA-IF-2017) No 799553. This research was also partially funded by the Spanish Government’s Ministry of Economy and Competitiveness (MINECO) and by the European Regional Development Funds (ERDF) of the European Union (EU) through projects with references CGL2015-65913 -P (MINECO/ERDF, EU) and EFA158/16/POCRISC (INTERREG/POCTEFA. EU). The support of these institutions is highly recognized and acknowledged. |
dc.language.iso | eng |
dc.rights | Attribution 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Sismologia |
dc.subject.lcsh | Earthquake hazard analysis--Mathematical models |
dc.subject.other | Seismic risk assessment |
dc.subject.other | Stochastic non-linear models |
dc.subject.other | Seismic damage |
dc.subject.other | Uniform hazard spectra |
dc.subject.other | Damage indexes |
dc.title | Seismic risk assessment using stochastic nonlinear models |
dc.type | Article |
dc.subject.lemac | Risc sísmic |
dc.contributor.group | Universitat Politècnica de Catalunya. EGEO - Enginyeria Geomàtica |
dc.contributor.group | Universitat Politècnica de Catalunya. GIES - Geofísica i Enginyeria Sísmica |
dc.identifier.doi | 10.3390/su12041308 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.mdpi.com/2071-1050/12/4/1308 |
dc.rights.access | Open Access |
local.identifier.drac | 28129757 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/799553/EU/Keeping and Increasing Resilience Opportunities and Sustainability of communities against earthquakes/KaIROS |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//CGL2015-65913-P/ES/DESARROLLO Y APLICACION DE HERRAMIENTAS AVANZADAS PARA LA EVALUACION, PREVENCION Y GESTION DEL RIESGO SISMICO/ |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/INTERREGV/INTERREGEFA158/16POCRISC |
local.citation.author | Vargas, Y.; Lantada, M.; Gonzalez-Drigo, J.R.; Pujades, L.G. |
local.citation.publicationName | Sustainability |
local.citation.volume | 12 |
local.citation.number | 4 |
local.citation.startingPage | 1308:1 |
local.citation.endingPage | 1308:21 |
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