Rapid seismic vulnerability assessment of building stocks for developing countries

Nanda, Radhikesh Prasad; Majhi, Deepti Ranjan

doi:10.1007/s12205-014-0050-0

Cited by 29 publications

(11 citation statements)

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“…Some researchers related SS greater than 3 to DG 1 while some have taken SS greater than 2.5 to fall in DG 1. In the current study, the relationship developed by Nanda and Majhi [40] for India is being adopted due to similar construction practices being observed in Pakistan. Different damage grades with their corresponding damage level and description for both masonry and reinforced concrete structures are explained in European Macro Seismic Scale [41].…”

Section: Rapid Visual Screeningmentioning

confidence: 96%

“…The interpretation of damage grade (DG) for the SS depends on 5 damage grades systems for both masonry and reinforced concrete buildings as shown in Table 2. Different relationships have been used by different researchers to correlate SS values with DG [39,40]. Some researchers related SS greater than 3 to DG 1 while some have taken SS greater than 2.5 to fall in DG 1.…”

Section: Rapid Visual Screeningmentioning

confidence: 99%

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Seismic vulnerability assessment of building stock of Malakand (Pakistan) using FEMA P-154 method

et al. 2019

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Earthquakes have caused huge infrastructural damages along with loss of lives in the recent past. Continuous subduction of the Indian plate beneath the Eurasian plate has made Pakistan a seismically active region in the world. Malakand, located in the Khyber Pakhtunkhwa Province of Pakistan, is declared at high earthquake risk by the National Disaster Management Authority of Pakistan, warranting a seismic vulnerability assessment study for its existing building stock. Vulnerability assessment of a representative sample of different building use-types was carried out using the rapid visual screening (RVS) procedure of FEMA P-154. The sample size was calculated based on Yamane formula. RVS sheets are used to calculate structural scores, and likely seismogenic damage is depicted as a function of damage grades of European Macro Seismic Scale. Of the building stock inspected, it was observed that almost half of the buildings fall in damage grade 4 and 5, implying a strong probability of heavy structural and non-structural damages in the case of future earthquake occurrence. Government school buildings were found to be less vulnerable than private counterparts. Most of the commercial buildings were not constructed according to building code, making them highly susceptible to damage. Based on the results of vulnerability assessment of building structures, the article recommends implementation of building codes which can lead to a decrease in infrastructural damages and economic losses in the wake of a future seismic event.

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Section: Rapid Visual Screeningmentioning

confidence: 96%

Section: Rapid Visual Screeningmentioning

confidence: 99%

Seismic vulnerability assessment of building stock of Malakand (Pakistan) using FEMA P-154 method

et al. 2019

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“…The final score (S) obtained implicitly represents seismic performance or damage grade. Nanda and Majhi [21] suggested that the structure damage could be categorized in different grades depending on their impacts on the seismic strength of the building, as shown in Table 2. A building with a higher final score performs better seismic performance with a lower damage grade.…”

Section: Building Vulnerabilitymentioning

confidence: 99%

Uncertainty and Fuzzy Decisions in Earthquake Risk Evaluation of Buildings

Ketsap¹,

Hansapinyo²,

Kronprasert³

et al. 2019

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The Northern region of Thailand has been considered as one of the seismic risk zones. However, most existing buildings in the area had been designed and constructed based on old building design codes without seismic consideration. Therefore, those buildings are required to upgrade based on earthquake building damage risk evaluation. With resource limitations, it is not feasible to retrofit all buildings in a short period. In addition, the results of the risk evaluation contain uncertain inputs and outputs. The objective of this study is to prioritize building retrofit based on fuzzy earthquake risk assessment. The risk assessment of a building was made considering the risk factors including (1) building vulnerability, (2) seismic intensity and (3) building values. Then, the total risk was calculated by integrating all the risk factors with their uncertainties using a fuzzy rule based model. An example of the retrofit prioritization is shown here considering the three fuzzy factors. The ranking is hospital, temple, school, government building, factory and house, respectively. The result helps decision makers to screen and prioritize the building retrofitting in the seismically prone area.

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“…Most collapsed buildings are multi-story buildings. And there are several public facility buildings such as school buildings, colleges, mosques, shop houses (shop houses) and markets and health facilities such as hospitals [1]- [3], [5], [6]. The community settlement buildings also damaged, including most of the one-story settlements [5], [7]- [10].…”

Section: Introductionmentioning

confidence: 99%

Rapid Assessment of Buildings Affected by Earthquake: Case Study in Pidie Jaya, Aceh, Indonesia

Febriansyah¹,

Rianto²,

Wardana³

et al. 2020

cea

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Indonesia is a disaster-prone country and has a large population, as evidenced by the increasing number of disasters almost every year. In Aceh province, the second earthquake occurred on 7 December 2016 Wednesday, in the area of Pidie Jaya Regency. This earthquake has caused many deaths and injuries, and damage to buildings. The victims died and were injured mainly due to collapsed residential buildings and other damaged public buildings. The methodology used in this research is by observing and measuring both quantitative and qualitative in the field and then analyzed based on the components of government regulations. The first qualitative measurement uses a map digitization checklist prepared, then the field survey to take pictures and quantitative inspection based on the type of building, building level, and building construction elements. Finally, analyzing the data uses the building regulation component of the government. The results showed that the earthquake that occurred resulted in almost all buildings with modern structures suffered minor damage. The rest sustained small loss and severe damage (collapsing). All buildings with modern structures consist mostly of structural elements/materials that are not under government regulations. This study also found that there are still residential buildings with traditional structures not damaged by the earthquake. This finding is expected to provide public awareness that constructing settlements with modern structures must use structural elements and components under building regulations from the government.

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Rapid seismic vulnerability assessment of building stocks for developing countries

Cited by 29 publications

References 1 publication

Seismic vulnerability assessment of building stock of Malakand (Pakistan) using FEMA P-154 method

Seismic vulnerability assessment of building stock of Malakand (Pakistan) using FEMA P-154 method

Uncertainty and Fuzzy Decisions in Earthquake Risk Evaluation of Buildings

Rapid Assessment of Buildings Affected by Earthquake: Case Study in Pidie Jaya, Aceh, Indonesia

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