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A GIS-Based Seismic Hazard and Building Vulnerability Assessment for an Earthquake Scenario in Chennai Utilizing a Structural Approach
A city’s hazard mitigation plan requires an assessment of building susceptibility and a thorough seismic analysis. To contribute to the seismic analysis of the Chennai city, this study is done as an attempt to evaluate the vulnerability of every building prone to earthquakes. The design base shear was compared with the base shear calculated from peak ground acceleration to understand the effectiveness of the design base shear. The base shear for the buildings was predicted with the help of support vector regression, accuracy of the predictions with respect to the design base shear is found which was further used in the evaluation of modelled buildings’ base shears. Support Vector Regression was primarily used as it considers all data for fitting, giving an apt relationship between the variables considered, whereas interpolation will consider only the nearest two values. The structures closer to the ocean are safer than those further inland in Chennai. The approach of prediction was shown to be more effective for structures with less storeys, and it may be applied to future buildings in Chennai as well as other cities with comparable soil characteristics, allowing the city to adjust to future changes.
A GIS-Based Seismic Hazard and Building Vulnerability Assessment for an Earthquake Scenario in Chennai Utilizing a Structural Approach
A city’s hazard mitigation plan requires an assessment of building susceptibility and a thorough seismic analysis. To contribute to the seismic analysis of the Chennai city, this study is done as an attempt to evaluate the vulnerability of every building prone to earthquakes. The design base shear was compared with the base shear calculated from peak ground acceleration to understand the effectiveness of the design base shear. The base shear for the buildings was predicted with the help of support vector regression, accuracy of the predictions with respect to the design base shear is found which was further used in the evaluation of modelled buildings’ base shears. Support Vector Regression was primarily used as it considers all data for fitting, giving an apt relationship between the variables considered, whereas interpolation will consider only the nearest two values. The structures closer to the ocean are safer than those further inland in Chennai. The approach of prediction was shown to be more effective for structures with less storeys, and it may be applied to future buildings in Chennai as well as other cities with comparable soil characteristics, allowing the city to adjust to future changes.
A GIS-Based Seismic Hazard and Building Vulnerability Assessment for an Earthquake Scenario in Chennai Utilizing a Structural Approach
Lecture Notes in Civil Engineering
Awang, Mokhtar (editor) / Ling, Lloyd (editor) / Emamian, Seyed Sattar (editor) / Mohammed Ikhlas, Ahamed Ibrahim (author) / Ishwrya, Achuthan Geetha (author) / Balaji, Pulipakkam Sridhar (author) / Jaya, K.P. (author)
2022-03-01
6 pages
Article/Chapter (Book)
Electronic Resource
English
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