Anbazhagan, P and Ramyasri, S and Moustafa, SSR and Al-Arifi, NSN (2017) Intensity based building damage level prediction model from past Earthquakes for risk assessment. In: Disaster Advances, 10 (3). pp. 1-15.
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Abstract
Frequently, the extent of damage i.e. damage level in percentage caused to non-engineered buildings from reported earthquake intensity values is unknown, even though intensity scale defines the building damage relating to a particular intensity. The level of structural damage might help in understanding the effect of great earthquakes and the seismic vulnerability of various buildings in different seismic zones. These are required for precise estimation of seismic disaster and also for planning risk reduction. The main objective of the study is to understand the relationship between the extent of damages to structures and the intensity of the earthquake considering past earthquake data and reported intensity values. In this study, around 80 data are collected from past earthquake reports and open source data files. Collected data including various types of earthquakes i.e. interplate, intraplate, plate boundary and subduction, the reported magnitude, reported intensities, type and age of building, hypocentral distances are compiled. Collected data has been studied and analysis has been performed to relate amount/level of building damages with reported intensity and hypocentral distance. Correlation between the percentage damage and earthquake parameters like felt intensities, hypocentral distance, type of earthquake along with the building type has been studied. An attempt has been made to obtain relations between these parameters by performing multiple regression analysis and predicted values are compared with reported values.
Item Type: | Journal Article |
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Publication: | Disaster Advances |
Publisher: | Disaster Advances |
Additional Information: | The copyright for this article belongs to the Disaster Advances. |
Keywords: | building; earthquake damage; earthquake intensity; earthquake prediction; natural disaster; regression analysis; risk assessment; seismic zone |
Department/Centre: | Division of Mechanical Sciences > Civil Engineering |
Date Deposited: | 12 Jul 2022 12:12 |
Last Modified: | 12 Jul 2022 12:12 |
URI: | https://eprints.iisc.ac.in/id/eprint/74569 |
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