A time‐frequency dependent coherence model for seismic ground motions. (6th November 2020)

• Record Type: Journal Article
• Authors: Cui, X.Z.; Hong, H.P.
• Is Part Of: Earthquake engineering and structural dynamics. Volume 50:Number 3(2021)
• Page Start: 955
• Page End: 973
• Publication Date: 2020-11-06
• Subjects: coherence -- discrete orthonormal S‐transform -- ground motions -- S‐transform -- time‐frequency dependent lagged coherence -- time‐frequency power spectral density function; Structural dynamics -- Periodicals; Earthquake engineering -- Periodicals; 624.1762
• DOI: 10.1002/eqe.3376
• Languages: English
• ISSNs: 0098-8847

Abstract

Abstract: There are several well‐known empirical lagged spatial coherence models for seismic ground motions proposed in the literature. The models are often developed based on the ordinary Fourier transform. None of the parametric models depend on time and frequency. The present study is focused on the development of the time‐frequency dependent (TF‐dependent) lagged coherence model for the seismic ground motions. The estimation of the TF‐dependent lagged coherence is carried out using the records obtained from dense arrays in Taiwan by applying the S‐transform—a TF‐dependent windowed Fourier transform. The spectral analysis results show that the TF‐dependent lagged coherence decreases with increasing separation or increasing frequency. Most importantly, it is shown that the TF‐dependent lagged coherence varies with the time‐varying intensity within the duration of the records; a higher normalized intensity corresponds to a higher lagged coherence. This feature is included in the developed empirical parametric TF‐dependent lagged coherence model, which is a function of the frequency, the separation between recording sites, and the normalized intensity. A numerical example illustrating its application to simulate nonstationary ground motions at multiple points is presented by using the time‐frequency spectral representation method that was developed based on the S‐transform and discrete orthonormal S‐transform.