Evaluating Seismic Vulnerability of Residential Buildings by Rapid Evaluation Method (REM)

Shah, Faiz; Kegyes-Brassai, Orsolya; Ahmed, Anas; Sultan, Parves

doi:10.1007/978-3-030-62171-1_26

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…The final score obtained from RVS can predict a building's seismic performance. Although RVS is less precise than extensive modelling, it is still a simple and straightforward method for identifying regions of a city that are more susceptible to seismic events than others [2][3][4]. The use of RVS as a preliminary screening process has gained widespread popularity due to its ability to identify structures with high seismic vulnerability quickly and efficiently, thereby saving valuable time and resources.…”

Section: Research Overviewmentioning

confidence: 99%

A Study of Building Structure Resilience to Seismic in the Batu Pahat Area using Rapid Visual Screening Method

Fahir Zulkifli,

Shahrul Niza Mokhatar,

Tuan Norhayati Tuan Chik

et al. 2023

ARASET

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This study is aimed at evaluating the durability of buildings in Batu Pahat area against seismic activity. To carry out this assessment, data about the building structure is collected, including architect plans, site investigations, and photos. This data is then processed and analysed using manual methods. To determine the Peak Ground Acceleration (PGA) value, the coordinates of Batu Pahat area are needed. This value can be calculated using Mathematica software, which gives a PGA value of 0.0553 g for Batu Pahat area. Based on this value, the Low Map Area form is used for the evaluation, using the ATC-21 form. The evaluation results indicate that 70% of the buildings in the area are in good condition, 25% are in a satisfactory condition, and only 5% are in a weak condition. However, it is important to note that even though only a small percentage of buildings are classified as weak, it does not mean that seismic hazards can be ignored. The study also suggests that the durability of building structures depends on various factors, such as the columns' strength, the building's bottom situation (e.g., empty space or unit), the building's shape (e.g., plan or upright), and the surrounding area's situation. Overall, this study offers valuable insights into the durability of buildings in the Batu Pahat area against seismic activity. It provides crucial information for stakeholders to make informed decisions regarding building safety in the region. The study's findings will guide decision-making processes, helping determine necessary precautions, retrofitting measures, or potential relocation of high-risk buildings. By enhancing the resilience of buildings, this evaluation contributes to the safety and well-being of occupants in the face of seismic hazards. Ultimately, the study's comprehensive assessment and subsequent insights lay the groundwork for informed decision-making and proactive measures to mitigate seismic risks, benefiting the overall resilience of buildings in the Batu Pahat District.

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Section: Research Overviewmentioning

confidence: 99%

A Study of Building Structure Resilience to Seismic in the Batu Pahat Area using Rapid Visual Screening Method

Fahir Zulkifli,

Shahrul Niza Mokhatar,

Tuan Norhayati Tuan Chik

et al. 2023

ARASET

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“…This may result in a higher risk to life. The Rapid Visual Screening (RVS) method was utilized in this paper and implemented by other researchers in their studies [5,13,[27][28][29]. This method is based only on visual evaluation and does not involve structural calculations.…”

Section: Rvs Surveymentioning

confidence: 99%

Damage Prediction Observation for Existing Buildings in Sabah under Moderate Risk Earthquakes

et al. 2023

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Seismic design in building construction is still new in Malaysia. Sabah, a Malaysian state, is situated southeast of the Eurasian Plate, between the highly active Philippine Sea Plate and Indo-Australian Plate, and has a history of earthquakes, with the largest measuring a magnitude of 6.3 (2015). Although small earthquakes occur annually, most old buildings in Sabah were built pre-code and designed without considering earthquake loadings. This study aimed to analyze the potential damage to buildings in Sabah based on their vulnerability to moderate earthquakes. More than 500 buildings in seven districts were evaluated using a quantitative method based on score assignment, within 100 kilometers of the epicenters. According to the findings, more than 160 buildings in the Kota Kinabalu and Kudat districts were assessed as vulnerable to Grade 4 damage. In Ranau, Kota Marudu, Tawau, Semporna, and Lahad Datu, most buildings had a Grade 3 damage potential, with some at Grade 2 or 4. This study’s findings provide a summary of the damage risk for structures in Sabah and offer a starting point for planning and developing safer buildings that can withstand local seismic conditions. The resulting building-grade damage map can be used as a reference for future damage mitigation measures.

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“…RVS estimates the seismic vulnerability of structures in a given territory. It depends on associations between the buildings' evaluated seismic performance and architectural typology (frame, shear wall, monolith, in-fill), material (steel, RC, masonry, wood, composite), design methods implementation, and several other factors [23]. Additional inputs to the analysis include the level of earthquake hazards.…”

Section: Rapid Visual Screeningmentioning

confidence: 99%

Evaluation of Machine Learning and Web-Based Process for Damage Score Estimation of Existing Buildings

et al. 2022

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The seismic vulnerability assessment of existing reinforced concrete (RC) buildings is a significant source of disaster mitigation plans and rescue services. Different countries evolved various Rapid Visual Screening (RVS) techniques and methodologies to deal with the devastating consequences of earthquakes on the structural characteristics of buildings and human casualties. Artificial intelligence (AI) methods, such as machine learning (ML) algorithm-based methods, are increasingly used in various scientific and technical applications. The investigation toward using these techniques in civil engineering applications has shown encouraging results and reduced human intervention, including uncertainties and biased judgment. In this study, several known non-parametric algorithms are investigated toward RVS using a dataset employing different earthquakes. Moreover, the methodology encourages the possibility of examining the buildings’ vulnerability based on the factors related to the buildings’ importance and exposure. In addition, a web-based application built on Django is introduced. The interface is designed with the idea to ease the seismic vulnerability investigation in real-time. The concept was validated using two case studies, and the achieved results showed the proposed approach’s potential efficiency.

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Evaluating Seismic Vulnerability of Residential Buildings by Rapid Evaluation Method (REM)

Cited by 4 publications

References 3 publications

A Study of Building Structure Resilience to Seismic in the Batu Pahat Area using Rapid Visual Screening Method

A Study of Building Structure Resilience to Seismic in the Batu Pahat Area using Rapid Visual Screening Method

Damage Prediction Observation for Existing Buildings in Sabah under Moderate Risk Earthquakes

Evaluation of Machine Learning and Web-Based Process for Damage Score Estimation of Existing Buildings

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