Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/15860
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dc.contributor.authorRamkrishnan R.
dc.contributor.authorSreevalsa K.
dc.contributor.authorSitharam T.G.
dc.date.accessioned2021-05-05T10:28:17Z-
dc.date.available2021-05-05T10:28:17Z-
dc.date.issued2020
dc.identifier.citationJournal of Earthquake Engineering Vol. , , p. -en_US
dc.identifier.urihttps://doi.org/10.1080/13632469.2020.1778586
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/15860-
dc.description.abstractExisting 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.en_US
dc.titleStrong Motion Data Based Regional Ground Motion Prediction Equations for North East India Based on Non-Linear Regression Modelsen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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