Detection of pulse-like ground motions based on continues wavelet transform

Yaghmaei‐Sabegh, Saman

doi:10.1007/s10950-010-9193-8

Cited by 79 publications

(17 citation statements)

References 32 publications

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“…It is worth noting that Daubechies wavelet of order 4 (db4) has been used as the mother wavelet in this classification. Earlier, behavior of the different types of mother wavelets on classification performance and estimation of pulse period for velocity time series of ground motions were investigated by Yaghmaei-Sabegh [2010a]. From analysis, it was revealed that the choice of mother wavelets and its associated scaling function are very significant to obtain the most reliable wavelet transforms and it depends on the characteristic of velocity pulse which frequently appears in near-fault ground motions.…”

Section: Preparing Of Seismic Inputmentioning

confidence: 99%

“…This article tries to present a new quantitative wavelet-based method for systematically analyzing the effect of pulse-like motions on inelastic demand of SDOF systems which will able to cover this gap. Wavelet transform as a powerful mathematical tool is able to extract both time and frequency great information from ground motion records simultaneously and is used vastly for the mining of earthquake records features [Baker, 2007;Yaghmaei-Sabegh, 2010a]. Thus, in the first part of this article (Secs.…”

Section: Introductionmentioning

confidence: 99%

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Application of Wavelet Transforms on Characterization of Inelastic Displacement Ratio Spectra for Pulse-Like Ground Motions

Yaghmaei‐Sabegh

2012

Journal of Earthquake Engineering

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In this article, a simple and effective wavelet-based procedure is implemented for describing principle features of a special class of motions, pulse-like ground motions, on inelastic displacement ratio spectra (IDRS). The computed spectra supply a simple estimation of maximum inelastic displacement demand from the corresponding elastic one. The results of analysis in this work provide a suitable platform for quantification of pulse effects into IDRS and highlight the need to better understanding of this effect on demand estimation. It is concluded that the pulse has a significant influence on IDRS of pulse-like ground motions for systems with high ductility level.

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Section: Preparing Of Seismic Inputmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Wavelet Transforms on Characterization of Inelastic Displacement Ratio Spectra for Pulse-Like Ground Motions

Yaghmaei‐Sabegh

2012

Journal of Earthquake Engineering

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“…It features a typical pulse(s) commonly observed in the velocity time history. Among them, Yaghmaei-Sabegh [5] investigated the effect of applying different mother wavelets on the effective extraction of the pulse-like features. Ever since the research work done by Baker [4], there have been several studies focusing on the classification of pulse-like ground motions in a quantitative manner.…”

Section: Introductionmentioning

confidence: 99%

An improved energy‐based approach for selecting pulse‐like ground motions

Chang

Sun

Zhai

et al. 2016

Earthq Engng Struct Dyn

116

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Summary This study proposes an improved energy‐based approach for quantitative classification of velocity‐pulse‐like ground motions. The pulse amplitude is determined, in its value and in time location, by the amplitude of the half‐cycle pulse having the largest seismic energy. After conducting statistical analyses, a newly‐determined threshold level for selecting pulse‐like ground motions is derived; and then what followed is a comparison analysis of three pulse‐detecting schemes, one using the wavelet analysis, the other two using the energy concept. It is believed that other than providing a useful way of classifying pulse‐like ground motions for structural demand analysis, knowledge of this work could also benefit the development of the ground motion prediction equations accounting for pulse effects, and further to aid the probabilistic seismic hazard analysis in a near‐fault environment. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Much effort has been devoted to the representation of the large velocity pulse through simplified pulse model [Makris, 1997;Krawinkler and Alavi, 1998;Menum and Fu, 2002;Mavroeidis et al, 2003] and/or decomposed method, such as moving average filtering [Ghahari et al, 2010] and wavelet analyses [Baker, 2007;Yaghmaei-Sabegh, 2010. As mentioned above, a series of simple components can be obtained by multi-resolution decomposed method.…”

Section: Definitions Of Several Kinds Of Ground Motion Componentsmentioning

confidence: 99%

A Probabilistic Methodology to Determine Elastic Acceleration Response Spectra for Pulse-Type Records through Multi-Resolution Analyses

Zhao

Chen

et al. 2015

Journal of Earthquake Engineering

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This article focuses on the characterizations of pulse-type ground motions which are mainly caused by rupture directivity. Multi-resolution analysis is employed to decompose 53 typical pulse-type records which are selected from 12 large earthquakes into a series of ground motion components. A methodology for deriving design spectra, which could incorporate the special effects caused by pulse-type records is proposed based on the bi-normalized response spectra of ground motion components, and is named as Near-Fault Response Spectrum (NFRS). Analysis results indicate that NFRS might be a reliable candidate for the code-based design spectrum especially for structures constructed close to active fault.

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Detection of pulse-like ground motions based on continues wavelet transform

Cited by 79 publications

References 32 publications

Application of Wavelet Transforms on Characterization of Inelastic Displacement Ratio Spectra for Pulse-Like Ground Motions

Application of Wavelet Transforms on Characterization of Inelastic Displacement Ratio Spectra for Pulse-Like Ground Motions

An improved energy‐based approach for selecting pulse‐like ground motions

A Probabilistic Methodology to Determine Elastic Acceleration Response Spectra for Pulse-Type Records through Multi-Resolution Analyses

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