Spectral acceleration prediction for strike, dip, and rake: a multi-layered perceptron approach

Somala, Surendra Nadh and Chanda, Sarit and Raghucharan, M. C. and Rogozhin, Evgenii (2021) Spectral acceleration prediction for strike, dip, and rake: a multi-layered perceptron approach. Journal of Seismology. ISSN 1383-4649

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Abstract

A multi-layer perceptron (MLP) technique is used to train on the response spectra for various strike angles, dip angles, and rake angles. Fixing the magnitude and depth of the earthquakes, the 3-component ground motion is simulated with the help of SPECFEM3D. The residuals of spectral acceleration as a function of time period, for low-rise to high-rise structures, are found to be free of any trend. The hidden layers in the MLP learn the interdependency of focal mechanism parameters on the response spectrum. The resultant model was checked for attenuation characteristics with respect to distance. Furthermore, the trained MLP also showed a shift in spectral peak due to radiation damping, as expected. This MLP architecture presented in this work can be broadly extended to predict the response spectrum, at bedrock level, for any focal mechanism parameters, i.e., strike, dip, and rake, depending on the velocity model of that region.

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IITH Creators:
IITH CreatorsORCiD
Somala, Surendra NadhUNSPECIFIED
Chanda, SaritUNSPECIFIED
Raghucharan, M. C.UNSPECIFIED
Item Type: Article
Uncontrolled Keywords: Data driven; Dip; Hidden layer; Machine learning; Rake; Strike
Subjects: Civil Engineering
Divisions: Department of Civil Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 30 Aug 2021 08:59
Last Modified: 30 Aug 2021 08:59
URI: http://raiith.iith.ac.in/id/eprint/8805
Publisher URL: http://doi.org/10.1007/s10950-021-10031-2
OA policy: https://v2.sherpa.ac.uk/id/publication/14403
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