Seismic Vulnerability Assessment of Building Stocks in the Western Zone of Surat-City, Gujarat, India, Using the Capacity Spectrum–Based Method

Recent advancements in computer science and data-driven decision making have greatly decreased the impact of natural disasters on civilization. The Western zone of Surat, a city in Gujarat, India, is examined as a study area to assess the seismic vulnerability of the structures using the capacity spectrum method. A thorough field survey was carried out in the Western zone of Surat to create detailed building stock inventory. The building information was gathered through a comprehensive field survey, which involved collecting, organizing, enhancing, and finalizing the data. The data were determined based on factors, such as the building’s height, material, configuration, and year of construction. The seismic hazard in the city’s area is described using response spectra based on Indian seismic provision IS 1893: Part-I for seismic zone-III. According to the survey, the majority of the buildings in the Adajan area are special moment-resisting reinforced concrete (RC) building frame structures. ArcGIS Pro software is utilized to manage collected information for developing seismic vulnerability scenarios. The results indicate that midrise building structures designed according to older versions of the seismic codes are more susceptible to lateral damage. The results of the cluster mapping analysis carried out in the Western region help pinpoint the urban area that is vulnerable to seismic activity at a local regional level.

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Publication Details

Journal
Journal of structural design and construction practice.
Published
2024-11-26
DOI
https://doi.org/10.1061/jsdccc.sceng-1608
Primary Topic
Seismic Performance and Analysis
Type
article
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article

Seismic Vulnerability Assessment of Building Stocks in the Western Zone of Surat-City, Gujarat, India, Using the Capacity Spectrum–Based Method

Kaushik Gondaliya, Vishisht Bhaiya, Jignesh Amin, Atul K. Desai et al.
Journal of structural design and construction practice.
Seismic Performance and Analysis
article

Seismic Vulnerability Assessment of Building Stocks in the Western Zone of Surat-City, Gujarat, India, Using the Capacity Spectrum–Based Method

Kaushik Gondaliya, Vishisht Bhaiya, Jignesh Amin, Atul K. Desai, Sandip A. Vasanwala
article en

Abstract

Recent advancements in computer science and data-driven decision making have greatly decreased the impact of natural disasters on civilization. The Western zone of Surat, a city in Gujarat, India, is examined as a study area to assess the seismic vulnerability of the structures using the capacity spectrum method. A thorough field survey was carried out in the Western zone of Surat to create detailed building stock inventory. The building information was gathered through a comprehensive field survey, which involved collecting, organizing, enhancing, and finalizing the data. The data were determined based on factors, such as the building’s height, material, configuration, and year of construction. The seismic hazard in the city’s area is described using response spectra based on Indian seismic provision IS 1893: Part-I for seismic zone-III. According to the survey, the majority of the buildings in the Adajan area are special moment-resisting reinforced concrete (RC) building frame structures. ArcGIS Pro software is utilized to manage collected information for developing seismic vulnerability scenarios. The results indicate that midrise building structures designed according to older versions of the seismic codes are more susceptible to lateral damage. The results of the cluster mapping analysis carried out in the Western region help pinpoint the urban area that is vulnerable to seismic activity at a local regional level.

Journal of structural design and construction practice.Vol. 30(1)
Gujarat University (IN), Gujarat Technological University (IN), Sardar Vallabhbhai National Institute of Technology Surat (IN)
Sustainable cities and communities, Climate action
Openalex Percentile: Top 76%
Seismic Performance and Analysis
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