A parametric computational study of RC building structures under corner-column removal situations

Buitrago, Manuel, Bertolesi, Elisa ORCID: https://orcid.org/0000-0003-3258-0743, Garzón-Roca, Julio, Sagaseta, Juan and Adam, José M. 2020. A parametric computational study of RC building structures under corner-column removal situations. Applied Sciences 10 (24) , 8911. 10.3390/app10248911

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Abstract

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	MDPI
ISSN:	2076-3417
Date of First Compliant Deposit:	19 December 2023
Date of Acceptance:	9 December 2020
Last Modified:	19 Dec 2023 16:11
URI:	https://orca.cardiff.ac.uk/id/eprint/164054

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