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A Parametric Computational Study of RC Building Structures under Corner-Column Removal Situations

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A Parametric Computational Study of RC Building Structures under Corner-Column Removal Situations

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dc.contributor.author Buitrago, Manuel es_ES
dc.contributor.author Bertolesi, Elisa es_ES
dc.contributor.author Garzón-Roca, Julio es_ES
dc.contributor.author Sagaseta, Juan es_ES
dc.contributor.author Adam, Jose M es_ES
dc.date.accessioned 2021-02-09T04:32:41Z
dc.date.available 2021-02-09T04:32:41Z
dc.date.issued 2020-12 es_ES
dc.identifier.uri http://hdl.handle.net/10251/160914
dc.description.abstract [EN] Building progressive collapse is currently one of the hottest topics in the structural engineering field. Most of the research carried out to date on this topic has been focused on the structural analysis of the failure of one or more columns in a building to determine the Alternative Load Paths (ALPs) the structure can activate. Past research was mainly focused on extreme situations with high loads and large structural deformations and, to a lesser extent, research looked at lower loads used in design accidental situations, which requires a different set of assumptions in the analysis. This paper describes a study aimed at analysing accidental design situations in corner-column removal scenarios in reinforced concrete (RC) building structures and evaluating the available real ALPs in order to establish practical recommendations for design situations that could be taken into account in future design codes. A wide parametric computational analysis was carried out with advanced Finite Element (FE) models which the authors validated by full¿scale tests on a purpose¿built building structure. The findings allowed us to: (i) establish design recommendations, (ii) demonstrate the importance of Vierendeel action and (iii) recommend Dynamic Amplification Factors (DAFs) for design situations. es_ES
dc.description.sponsorship This research was funded by Fundacion BBVA-Becas Leonardo a Investigadores y Creadores Culturales 2017; the Spanish Ministry of Economy, Industry and Competitiveness, grant number BIA2017-88322-R-AR; Generalitat Valenciana/Fons Social Europeu, grant number APOSTD/2019/101 and Universitat Politecnica de Valencia, grant number PAID-10-17. This work is also part of the project "Extension of theoretical models against progressive collapse for tall and supertall concrete buildings", funded by the Engineering Physical Science Research Council (EPSRC) of the UK as part of an Impact Acceleration Account (IAA) held at the University of Surrey (grant number EP/K008153/1), and a continuation of two research projects also funded by EPSRC of the UK (grant ref: EP/K503939 and grant ref: EP/K008153/1). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation EPSRC/EP/K503939 es_ES
dc.relation EPSRC/EP/K008153/1 es_ES
dc.relation UPV/PAID-10-17 es_ES
dc.relation AEI/BIA2017-88322-R-AR es_ES
dc.relation GENERALITAT VALENCIANA/APOSTD/2019/101 es_ES
dc.relation.ispartof Applied Sciences es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Corner-column removal es_ES
dc.subject Extreme events es_ES
dc.subject FEM es_ES
dc.subject Parametric study es_ES
dc.subject Building structures es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title A Parametric Computational Study of RC Building Structures under Corner-Column Removal Situations es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/app10248911 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil es_ES
dc.description.bibliographicCitation Buitrago, M.; Bertolesi, E.; Garzón-Roca, J.; Sagaseta, J.; Adam, JM. (2020). A Parametric Computational Study of RC Building Structures under Corner-Column Removal Situations. Applied Sciences. 10(24):1-27. https://doi.org/10.3390/app10248911 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/app10248911 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 27 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 24 es_ES
dc.identifier.eissn 2076-3417 es_ES
dc.relation.pasarela S\423242 es_ES
dc.contributor.funder Fundación BBVA es_ES
dc.contributor.funder Fundación BBVA es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Engineering and Physical Sciences Research Council, Reino Unido es_ES


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