Evaluation of the seismic risk of the unreinforced masonry building stock in Antioquia, Colombia

Ana B. Acevedo (), Juan D. Jaramillo, Catalina Yepes, Vitor Silva, Fernando A. Osorio and Mabé Villar
Additional contact information
Ana B. Acevedo: Universidad EAFIT
Juan D. Jaramillo: Universidad EAFIT
Catalina Yepes: GEM Foundation
Vitor Silva: GEM Foundation
Fernando A. Osorio: Universidad EAFIT
Mabé Villar: GEM Foundation

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2017, vol. 86, issue 1, No 3, 54 pages

Abstract: Abstract This paper presents the development of an exposure model for the residential building stock in Antioquia (the second most populated Department of Colombia), the development of fragility functions for unreinforced masonry buildings, and estimation of building damage for two possible seismic events. Both the exposure and fragility models are publically available and can be used to calculate damage and losses due to single events, or probabilistic seismic hazard. The exposure model includes information regarding the total built-up area, number of buildings and inhabitants, building class, and replacement cost. The methodology used for the creation of the exposure model was based on available cadastral information, survey data, and expert judgment. Fragility functions were derived using nonlinear time history analyses on single-degree-of-freedom oscillators, for unreinforced masonry structures which represent more than 60% of the building stock in the region. Both seismic scenarios indicate that an event corresponding to a return period of 500 years located within the region of interest would cause slight or moderate damage to nearly 95 thousand structures, and about 32 thousand would have severe damage or collapse. This study was developed as part of the South America Risk Assessment project, supported by the Global Earthquake Model and SwissRe Foundation.

Keywords: Exposure; Seismic risk; Fragility functions; Masonry buildings (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s11069-016-2647-8

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