Strong Motion Data Based Regional Ground Motion Prediction Equations for North East India Based on Non-Linear Regression Models

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dc.contributor.authorRamkrishnan, R.
dc.contributor.authorKolathayar, S.
dc.contributor.authorSitharam, T.G.
dc.date.accessioned2026-02-05T09:26:23Z
dc.date.issued2022
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 Taylor & Francis Group, LLC.
dc.identifier.citationJournal of Earthquake Engineering, 2022, 26, 6, pp. 2927-2947
dc.identifier.issn13632469
dc.identifier.urihttps://doi.org/10.1080/13632469.2020.1778586
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/22910
dc.publisherTaylor and Francis Ltd.
dc.subjectEarthquake effects
dc.subjectForecasting
dc.subjectMotion estimation
dc.subjectRegression analysis
dc.subjectAttenuation
dc.subjectGround motion prediction
dc.subjectGround motion prediction equation
dc.subjectGround-motion
dc.subjectHimalayan seismicity
dc.subjectNorth- East India
dc.subjectPeak ground acceleration
dc.subjectPrediction equations
dc.subjectRegression
dc.subjectStrong motion datum
dc.subjectEquations of motion
dc.titleStrong Motion Data Based Regional Ground Motion Prediction Equations for North East India Based on Non-Linear Regression Models

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