2010•Unpublished venueRequires access

Time-Frequency Analysis and Artificial Adjustment of Earthquake Ground Motions via S-Transform

Jian Fan, Yuan Yong, Yanping Zhang

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Abstract

In this paper, the basic algorithm of S-transform is presented, and the time varying amplitude spectrum and the time varying energy spectrum reflecting the time-frequency characteristics of the seismic records are defined. The time-frequency characteristics of Northridge wave, El-centro wave, Kobe wave and an artificial wave are analyzed through numerical example. Earthquake records can be adjusted with time-frequency filtering based on S-transform, and a new procedure is presented to generate an accelerograms whose power spectrum or response spectrum is compatible with a target spectrum by using actual earthquake records as parents.

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What this paper is about

In this paper, the basic algorithm of S-transform is presented, and the time varying amplitude spectrum and the time varying energy spectrum reflecting the time-frequency characteristics of the seismic records are defined. The time-frequency characteristics of Northridge wave, El-centro wave, Kobe wave and an artificial wave are analyzed through numerical example. Earthquake records can be adjusted with time-frequency filtering based on S-transform, and a new procedure is presented to generate an accelerograms whose power spectrum or response spectrum is compatible with a target spectrum by using actual earthquake records as parents.

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Available abstract

In this paper, the basic algorithm of S-transform is presented, and the time varying amplitude spectrum and the time varying energy spectrum reflecting the time-frequency characteristics of the seismic records are defined. The time-frequency characteristics of Northridge wave, El-centro wave, Kobe wave and an artificial wave are analyzed through numerical example. Earthquake records can be adjusted with time-frequency filtering based on S-transform, and a new procedure is presented to generate an accelerograms whose power spectrum or response spectrum is compatible with a target spectrum by using actual earthquake records as parents.

Key concepts: Time–frequency analysis, Spectral density, Response spectrum, Dispersive body waves, Amplitude, Frequency spectrum, Spectrum (functional analysis), Seismology

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