Seismic Risk Assessment of Peruvian Public School Buildings Using FEMA P-154 Rapid Visual Screening

Cardenas, Omar; Farfan, A; Huaco, Guillermo

doi:10.1109/coniiti51147.2020.9240369

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…RVS is a method used to rapidly evaluate the seismic vulnerability of many structures. It is based on correlations between the predicted seismic performance of buildings and their structural characteristics, such as frame, shear walls, masonry, and infills [5]. The development of different RVS methodologies from different countries demonstrates the growing importance and popularity of this method in seismic risk assessment.…”

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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“…Nevertheless, rapid visual screening (RVS) is a method to estimate the seismic vulnerability of a large number of structures in a city. It is based on correlations between the buildings' predicted seismic performance and the structural typology (frame, shear wall, masonry, infills) [33]. While it is not considered a perfect method because it is based on expert and non-expert decisions, it is simple and can give a preliminary idea of the areas of a city that are vulnerable to seismic disturbances [34][35][36].…”

Section: Research Backgroundmentioning

confidence: 99%

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

et al. 2021

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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.

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Seismic risk assessment of Tehran masonry school buildings and prioritizing them for seismic retrofitting using reliability methods

Alimohammadi,

Bakhshi,

Yekrangnia

2024

Nat Hazards

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Seismic Risk Assessment of Peruvian Public School Buildings Using FEMA P-154 Rapid Visual Screening

Cited by 6 publications

References 5 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

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

Seismic risk assessment of Tehran masonry school buildings and prioritizing them for seismic retrofitting using reliability methods

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