Publication:
Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia

dc.citedby8
dc.contributor.authorKassem M.M.en_US
dc.contributor.authorBeddu S.en_US
dc.contributor.authorOoi J.H.en_US
dc.contributor.authorTan C.G.en_US
dc.contributor.authorEl-Maissi A.M.en_US
dc.contributor.authorNazri F.M.en_US
dc.contributor.authorid57205114345en_US
dc.contributor.authorid55812080500en_US
dc.contributor.authorid57315916400en_US
dc.contributor.authorid55597176000en_US
dc.contributor.authorid57221272175en_US
dc.contributor.authorid55195912500en_US
dc.date.accessioned2023-05-29T09:05:46Z
dc.date.available2023-05-29T09:05:46Z
dc.date.issued2021
dc.description.abstractRapid visual screening is a quick and simple approach often used by researchers to estimate the seismic vulnerability of buildings in an area. In this study, preliminary seismic vulnerability assessment of 500 buildings situated at Northern and Eastern George Town, Malaysia, was carried out by utilizing a modified FEMA-154 (2002) method that suits Malaysian conditions. Data were collected from online sources via Google Maps and Google Earth instead of traditional surveying data collection through street screening. The seismic assessment analysis of this study was based on the RVS performance score and the damage state classification for each building typology. This approach generates, for each building, a final performance score based on governing parameters such as structural resisting system, height, structural irregularities, building age, and soil type. The findings revealed the immediate need for effective seismic mitigation strategies, as 90% of the studied buildings required a further detailed analyses to pinpoint their exact seismic vulnerability performance. Most of the surveyed buildings were predicted to experience moderate-to-substantial damage, with 220 out of 500 being classed as damage state 2 (D2) and damage state 3 (D3). A GIS map, �RVS Malaysian Form-George Town Area�, was generated via ArcGIS and shared with the public to provide vital information for further research. � 2021 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo485
dc.identifier.doi10.3390/buildings11100485
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85118208243
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85118208243&doi=10.3390%2fbuildings11100485&partnerID=40&md5=ef5ad309f68c6cfcd8460c4f654428b0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25956
dc.identifier.volume11
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleBuildings
dc.titleAssessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysiaen_US
dc.typeArticleen_US
dspace.entity.typePublication
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