Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/15860
Title: Strong Motion Data Based Regional Ground Motion Prediction Equations for North East India Based on Non-Linear Regression Models
Authors: Ramkrishnan R.
Sreevalsa K.
Sitharam T.G.
Issue Date: 2020
Citation: Journal of Earthquake Engineering Vol. , , p. -
Abstract: Existing Ground Motion Prediction Equations (GMPE) in practice for North East India have been developed using limited or simulated datasets of recorded ground motions. The current study presents the development of a new GMPE based on a well-established model considering actual recorded ground motion data comprising of acceleration, magnitude, and hypocentral distances. A larger dataset with magnitudes ranging from 4.2 to 6.9 and up to 640 kms, with a total of 204 recordings is used in non-linear multiple-regression. The newly developed GMPE could predict ground acceleration realistically over larger ranges of distance and magnitudes, compared to existing GMPEs. © 2020, © 2020 Taylor & Francis Group, LLC.
URI: https://doi.org/10.1080/13632469.2020.1778586
http://idr.nitk.ac.in/jspui/handle/123456789/15860
Appears in Collections:1. Journal Articles

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