Predictive model for Arias intensity in northeastern region of India

Rana, H and Babu, GLS (2020) Predictive model for Arias intensity in northeastern region of India. In: 16th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2019, 14-18 October 2019, Taipei International Convention Center (TICC)Taipei; Taiwan.

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Abstract

This study presents a development of attenuation relationship for Arias intensity for Northeastern region of India. The attenuation relationship for Arias intensity is developed in terms of magnitude of seismic event (M), source distance of the earthquake (R) using two step regression analysis. The strong motion dataset is divided into two categories i.e. training dataset and validation dataset. Training dataset is used to calculate regression coefficients and validation dataset is used to examine the efficiency of predictive equations. The developed attenuation relationship for Arias intensity is compared with previously developed attenuation relationships. The comparison shows that the developed equation is efficient for Northeastern region of India.

Item Type:	Conference Paper
Publication:	16th Asian Regional Conference on Soil Mechanics and Geotechnical Engineering, ARC 2019
Publisher:	Asian Regional Conference on Soil Mechanics and Geotechnical Engineering
Additional Information:	The copyright of this article belongs to Asian Regional Conference on Soil Mechanics and Geotechnical Engineering.
Keywords:	Earthquakes; Regression analysis; Soil mechanics, Arias intensities; Attenuation relationships; Predictive equations; Predictive modeling; Regression coefficient; Seismic event; Strong motion; Training dataset, Geotechnical engineering
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	13 Oct 2020 09:38
Last Modified:	08 Dec 2022 10:56
URI:	https://eprints.iisc.ac.in/id/eprint/65635

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