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Statistical kinematic source models for seismic hazard estimations

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Abstract

We present detailed state of the art of statistical kinematic source models. The literature constitutes detailed first- and second-order characterization and the corresponding implementation in random field generations. The notable details include scaling relations, non-Gaussianity, and non-stationarity. The simplicity in the representation of kinematic slip fields has also paved the way to easy numerical implementation. Further, computational facility advancements have aided in realistic real-time simulation. Hence, these models can be suitably utilized to obtain more reliable synthetic ground motions and resultant hazards. This work also demonstrates the implementation of a non-Gaussian slip field in physics-based simulation for the Indo-Gangetic basin and studies the corresponding basin amplification.

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  1. J. Dhanya and S. T. G. Raghukanth contributed equally to this work.

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  1. School of Civil and Environmental Engineering, IIT Mandi, Kamand, Mandi, Himachal Pradesh, 175075, India

    J. Dhanya

  2. Department of Civil Engineering, IIT Madras, Adayar, Chennai, Tamil Nadu, 600036, India

    S. T. G. Raghukanth

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Dhanya, J., Raghukanth, S.T.G. Statistical kinematic source models for seismic hazard estimations. Int J Adv Eng Sci Appl Math 15, 37–54 (2023). https://doi.org/10.1007/s12572-023-00328-5

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