Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia
Rapid 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 utili...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
MDPI
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.uniten.dspace-25956 |
|---|---|
| record_format |
dspace |
| spelling |
my.uniten.dspace-259562023-05-29T17:05:46Z Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia Kassem M.M. Beddu S. Ooi J.H. Tan C.G. El-Maissi A.M. Nazri F.M. 57205114345 55812080500 57315916400 55597176000 57221272175 55195912500 Rapid 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. Final 2023-05-29T09:05:46Z 2023-05-29T09:05:46Z 2021 Article 10.3390/buildings11100485 2-s2.0-85118208243 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118208243&doi=10.3390%2fbuildings11100485&partnerID=40&md5=ef5ad309f68c6cfcd8460c4f654428b0 https://irepository.uniten.edu.my/handle/123456789/25956 11 10 485 All Open Access, Gold MDPI Scopus |
| institution |
Universiti Tenaga Nasional |
| building |
UNITEN Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tenaga Nasional |
| content_source |
UNITEN Institutional Repository |
| url_provider |
http://dspace.uniten.edu.my/ |
| description |
Rapid 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. |
| author2 |
57205114345 |
| author_facet |
57205114345 Kassem M.M. Beddu S. Ooi J.H. Tan C.G. El-Maissi A.M. Nazri F.M. |
| format |
Article |
| author |
Kassem M.M. Beddu S. Ooi J.H. Tan C.G. El-Maissi A.M. Nazri F.M. |
| spellingShingle |
Kassem M.M. Beddu S. Ooi J.H. Tan C.G. El-Maissi A.M. Nazri F.M. Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia |
| author_sort |
Kassem M.M. |
| title |
Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia |
| title_short |
Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia |
| title_full |
Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia |
| title_fullStr |
Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia |
| title_full_unstemmed |
Assessment of seismic building vulnerability using rapid visual screening method through web-based application for Malaysia |
| title_sort |
assessment of seismic building vulnerability using rapid visual screening method through web-based application for malaysia |
| publisher |
MDPI |
| publishDate |
2023 |
| _version_ |
1806426025511354368 |
| score |
13.211869 |