Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution

Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution Publisher

Sharbati R¹ ; Ramazi HR² ; Khoshnoudian F¹ ; Amindavar HR³ ; Rabbani H⁴

Show Affiliations

1. Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran
2. Department of Mining & Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
3. Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
4. Medical Image Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Journal of Earthquake Engineering Published:2021

Abstract

In this paper, a stochastic-parametric model is developed for simulating the temporal and spectral nonstationary characteristics of ground motion sequences. In the proposed model, after extracting the wavelet coefficients of a ground motion sequence by using the complex discrete wavelet transform and smoothing them by the Normal kernel function, they are simulated by using the Gaussian mixture distribution. This model simulates multiple peaks in the time domain, several dominant frequency peaks at each time, the relaxation time between motions, and the steps of cumulative energy curve of ground motion sequences, while the previous models did not have these abilities. © 2019 Taylor & Francis Group, LLC.

Style	Citing Format
MLA	Sharbati R, et al.. "Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution." Journal of Earthquake Engineering, vol. 25, no. 11, 2021, pp. 2147-2177.
APA	Sharbati R, Ramazi HR, Khoshnoudian F, Amindavar HR, Rabbani H (2021). Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution. Journal of Earthquake Engineering, 25(11), 2147-2177.
Chicago	Sharbati R, Ramazi HR, Khoshnoudian F, Amindavar HR, Rabbani H. "Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution." Journal of Earthquake Engineering 25, no. 11 (2021): 2147-2177.
Harvard	Sharbati R et al. (2021) 'Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution', Journal of Earthquake Engineering, 25(11), pp. 2147-2177.
Vancouver	Sharbati R, Ramazi HR, Khoshnoudian F, Amindavar HR, Rabbani H. Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution. Journal of Earthquake Engineering. 2021;25(11):2147-2177.
BibTex	@article{ author = {Sharbati R and Ramazi HR and Khoshnoudian F and Amindavar HR and Rabbani H}, title = {Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution}, journal = {Journal of Earthquake Engineering}, volume = {25}, number = {11}, pages = {2147-2177}, year = {2021} }
RIS	TY - JOUR AU - Sharbati R AU - Ramazi HR AU - Khoshnoudian F AU - Amindavar HR AU - Rabbani H TI - Stochastic Model for Simulation of Ground-Motion Sequences Using Kernel-Based Smoothed Wavelet Transform and Gaussian Mixture Distribution JO - Journal of Earthquake Engineering VL - 25 IS - 11 SP - 2147 EP - 2177 PY - 2021 ER -

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