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Extraction of forward-directivity velocity pulses using S-Transform-based signal decomposition technique

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Abstract

Robust methods for time-frequency analysis of time series, which provide local information of signals, allow earthquake engineers to study both the input and output of dynamic time history analysis with more reliability. Moreover, time-frequency representations (TFRs) have a major role in the analysis of non-stationary seismic signals exhibiting significant time variation of frequency content. S-Transform (ST) is a modern TFR, which can measure local characteristics of a signal such as amplitude, frequency, and phase at any time instant. This paper presents a new method for decomposition of ground motion signals. A modified version of ST-based technique, originally employed to decompose signals of gearbox vibration, is introduced and applied to the extraction and characterization of pulse-like part of near-fault velocity records, which is contributed to the directivity effects. In addition, a new definition based on ST analysis is used to identify pulse period. The results of implementation of proposed procedure on a database of pulse-like ground motion recordings belonging to the different ranges of magnitude demonstrate the efficiency of proposed method compared with other available approaches. The results, also, indicate that simple approximation of distinct pulses using single-period waveforms, unlike the extracted pulses, cannot represent the impulsive nature of real records adequately.

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  1. Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

    G. Ghodrati Amiri

  2. School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

    S. Arian Moghaddam

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  1. G. Ghodrati Amiri
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  2. S. Arian Moghaddam
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Amiri, G.G., Moghaddam, S.A. Extraction of forward-directivity velocity pulses using S-Transform-based signal decomposition technique. Bull Earthquake Eng 12, 1583–1614 (2014). https://doi.org/10.1007/s10518-013-9581-x

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