2019
DOI: 10.2495/eres190051
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Vulnerability Assessment of Buildings Based on Rapid Visual Screening and Pushover: Case Study of Gyor, Hungary

Abstract: The process of carrying out an earthquake risk assessment of a town can provide important data for authorities and disaster management to better understand risks to many buildings rather than a single building. This is even more important in the case of moderate seismic areas where any mitigation measures to be taken should be justified by seismic risk determination. Moderate seismicity does not necessarily equate to moderate damage from earthquakes. Vulnerability to earthquakes even increases with extending u… Show more

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Cited by 6 publications
(3 citation statements)
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“…The existence of buildings is signaling the existence of population in the area and are directly related to potential human and economic damage in case of an earthquake episode. A high number of seismic activities that occurred near the settlement area indicate how highly the community in the study area is exposed to seismic vulnerability [77,78].…”
Section: Assessment On the Fr-ioe Model And (Fr-ioe) Ahp Model Conditional Factors And Classesmentioning
confidence: 99%
“…The existence of buildings is signaling the existence of population in the area and are directly related to potential human and economic damage in case of an earthquake episode. A high number of seismic activities that occurred near the settlement area indicate how highly the community in the study area is exposed to seismic vulnerability [77,78].…”
Section: Assessment On the Fr-ioe Model And (Fr-ioe) Ahp Model Conditional Factors And Classesmentioning
confidence: 99%
“…The degrees of damage are described quite clearly in (Lang, 2002;Lang, 2004;Okada, 2000). Many studies have been carried out (Corsanego, 1994;Okada, 2000;Giovinazzi, 2004;Kegyes-Brassai, 2007), etc. focusing on the vulnerability of existing buildings.…”
Section: Introductionmentioning
confidence: 99%
“…Extensive research in incorporating several methodologies into RVS, for instance, statistical methods [10,11], Artificial Neural Network (ANN) [12][13][14], Multi-criteria decision making [15], and type-1 [16][17][18][19] and type-2 [20] fuzzy logic systems are performed constantly to update and increase the efficacy of vulnerability screening. There are other methods for the damage identification techniques of buildings with the use of superior quality optical satellite images [21,22], and seismic vulnerability evaluation of the school buildings constructed by industrialized building schemes [23] or seismic vulnerability assessment of school buildings through RVS and compared with the results of their pushover analysis [24], which demonstrates the variation of efforts in seismic vulnerability assessment of structures. The significance of parameters and the optimum number for parameter selection has been used effectively by Morfidis and Kostinakis [25].…”
Section: Introductionmentioning
confidence: 99%