Decomposing seismic accelerograms with optimized window and its application for generating artificial fully non-Gaussian and nonstationary ground motion time histories. Issue 154 (March 2022)

• Record Type: Journal Article
• Authors: Cui, X.Z.; Hong, H.P.
• Is Part Of: Soil dynamics and earthquake engineering. Issue 154(2022)
• Publication Date: 2022-03
• Subjects: Nonstationary non-Gaussian process -- S-transform -- Optimized window -- Seismic ground motions -- Time-frequency power spectral density function -- Simulation -- Surrogate; Soil dynamics -- Periodicals; Earthquake engineering -- Periodicals; Sols -- Dynamique -- Périodiques; Génie parasismique -- Périodiques; 624.176205
• DOI: 10.1016/j.soildyn.2021.107124
• Languages: English
• ISSNs: 0267-7261

Abstract

Abstract: In the present study, we propose a framework to simulate artificial seismic ground motion time histories for a given target record based on the time-frequency decomposition with an optimized window. The considered time-frequency decomposition technique is the S-transform (ST), where the optimized window is determined based on an energy concentration measure (ECM). For the evaluation of ECM for S-transform, we propose to use the time-frequency power spectral density function rather than the ST coefficients. Depending on the adopted assumption, the use of the iterative power and amplitude correction algorithm (IPAC) or the spectral represent method is suggested. The use of IPAC could also preserve the non-Gaussian characteristics of the target record. The proposed framework to simulate the artificial seismic ground motion time histories can capture the irregular pockets of power concentration in the time-frequency domain, and no assumptions on the functional forms of the spectra are required. The use of the proposed framework in simulating the time histories is illustrated by numerical examples, showing that the zero-upcrossing rate, the power distribution in time and in frequency, and the spectral acceleration of the simulated time histories match well their corresponding targets. Highlights: We proposed a new equation to determine the optimized window in S-transform (ST) to process ground motion records. We suggested a new framework to simulate ground motions for a given target record using the optimized ST. The simulation framework is efficient and is applicable for fully nonstationary Gaussian/non-Gaussian ground motions. We showed the characteristics of the sampled ground motions match well those of the target or seed record.