Evaluation of Building Vulnerability to Earthquake Using Rapid Visual Screening (RVS) Method

2021 ◽  
Vol 23 (2) ◽  
pp. 114-124
Author(s):  
Andhika Ronald Dwi Pratama ◽  
Jojok Widodo Soetjipto ◽  
Krisnamurti Krisnamurti
Keyword(s):  
Risk Assessment ◽  
Special Treatment ◽  
Earthquake Hazards ◽  
Severe Damage ◽  
Building Vulnerability ◽  
Rapid Visual Screening ◽  
Richter Scale ◽  
Vulnerability Of Buildings ◽  
Visual Screening ◽  
Visual Observations

Indonesia is one of the countries prone to earthquakes. One of the earthquake disasters that occurred several years ago hit Palu and Donggala on September 28, 2018. It caused severe damage to infrastructure. Therefore, it is necessary to evaluate buildings vulnerable to earthquakes as a form of prevention. One of the buildings in Jember, the dr. Soebandi hospital, experienced cracks in the walls during an earthquake measuring 6.0 on the Richter scale in Nusa Dua Bali on July 16, 2019. This study carried out the risk assessment of the vulnerability of buildings to earthquakes using the Rapid Visual Screening (RVS) method from FEMA P-154. RVS is a method to identify a building that is potentially vulnerable to earthquake hazards based on visual observations from the exterior and interior of the building. The results of the evaluation using the RVS method showed that the dr. Soebandi hospital is categorized as safe and not prone to earthquakes, with a potential vulnerability percentage of 0.0126%. Based on these results, the building does not require special treatment to anticipate earthquakes; however, maintaining the occupants' safety and extending the building's life requires routine maintenance. 

A Proposed Rapid Visual Screening Procedure for Developing Countries

2018 ◽  
Vol 9 (2) ◽  
pp. 38-45 ◽  
Author(s):  
Ningthoujam Monika Chanu ◽  
Radhikesh Prasad Nanda
Keyword(s):  
Quality Control ◽  
Building Vulnerability ◽  
Soft Storey ◽  
Rapid Visual Screening ◽  
The Past ◽  
Score Sheet ◽  
Proper Design ◽  
Visual Screening ◽  
Vulnerability Score ◽  
Design Construction

Many earthquakes in the past had shown that major damage to structures took place in the absence of proper design, construction, and quality control. Based on the extent of damages caused by earlier earthquakes and the building vulnerability parameters that has caused the damages, a statistical analysis was carried out to develop a vulnerability score sheet. In this score sheet, a vulnerability score is computed considering building attributes such as soft storey, substantial overhang, re-entrant corners, the age of buildings, apparent material and construction quality, eccentric staircase location with respect to building plan, maintenance, soil type and a number of storeys. This score sheet will be a very helpful technique for assessing huge building stocks.

scholarly journals Risk Assessment of Seismic Vulnerability of All Hospitals in Manila Using Rapid Visual Screening (RVS)

2020 ◽  
Vol 479 ◽  
pp. 012002
Author(s):  
S.J.C. Clemente ◽  
J.S.B. Arreza ◽  
M.A.M. Cortez ◽  
J.R.C. Imperial ◽  
M.J.F. Malabanan
Keyword(s):  
Risk Assessment ◽  
Seismic Vulnerability ◽  
Rapid Visual Screening ◽  
Visual Screening

scholarly journals Assessment of Seismic Building Vulnerability Using Rapid Visual Screening Method through Web-Based Application for Malaysia

Buildings ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 485
Author(s):  
Moustafa Moufid Kassem ◽  
Salmia Beddu ◽  
Jun Hao Ooi ◽  
Chee Ghuan Tan ◽  
Ahmad Mohamad El-Maissi ◽  
...  
Keyword(s):  
Seismic Vulnerability ◽  
Screening Method ◽  
Google Earth ◽  
Mitigation Strategies ◽  
Performance Score ◽  
Building Vulnerability ◽  
Damage State ◽  
Rapid Visual Screening ◽  
Visual Screening ◽  
George Town

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.

scholarly journals A revised (PTVA) model for assessing the vulnerability of buildings to tsunami damage

2009 ◽  
Vol 9 (5) ◽  
pp. 1557-1565 ◽  
Author(s):  
F. Dall'Osso ◽  
M. Gonella ◽  
G. Gabbianelli ◽  
G. Withycombe ◽  
D. Dominey-Howes
Keyword(s):  
Analytic Hierarchy Process ◽  
Vulnerability Assessment ◽  
Original Model ◽  
Building Vulnerability ◽  
Analytic Hierarchy ◽  
Tsunami Damage ◽  
Vulnerability Of Buildings ◽  
Tsunami Vulnerability Assessment ◽  
Hierarchy Process ◽  
Sydney Australia

Abstract. The Papathoma Tsunami Vulnerability Assessment (PTVA) Model (Papathoma, 2003) was developed in the absence of robust, well-constructed and validated building fragility models for assessing the vulnerability of buildings to tsunami. It has proven to be a useful tool for providing assessments of building vulnerability. We present an enhanced version (PTVA-3) of the model that takes account of new understanding of the factors that influence building vulnerability and significantly, introduce the use of the Analytic Hierarchy Process (AHP) for weighting the various attributes in order to limit concerns about subjective ranking of attributes in the original model. We successfully test PTVA-3 using building data from Maroubra, Sydney, Australia.

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