2019
DOI: 10.1111/mice.12437
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Automated classification of near‐fault acceleration pulses using wavelet packets

Abstract: This study proposes a new algorithm for automatically classifying two types of velocity‐pulses that are integral of a distinct acceleration pulse (acc‐pulse) or a succession of high‐frequency one‐sided acceleration spikes (non‐acc‐pulse). For achieving this, wavelet packet transform is used to filter the high‐frequency content and to extract the coherent velocity‐pulse. Then, the pulse period is unequivocally derived through the peak point method. Following the determination of the pulse‐starting (ts) and puls… Show more

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Cited by 30 publications
(21 citation statements)
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“…Using a new algorithm 26 for classifying acc-pulses and non-acc-pulses, this study first discussed the characteristics of the two types of velocity pulses that are considered to be caused by forward directivity and then the effects on the inelastic displacement ratio (C R ) were investigated. The main findings are as follows:…”
Section: Discussionmentioning
confidence: 99%
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“…Using a new algorithm 26 for classifying acc-pulses and non-acc-pulses, this study first discussed the characteristics of the two types of velocity pulses that are considered to be caused by forward directivity and then the effects on the inelastic displacement ratio (C R ) were investigated. The main findings are as follows:…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, the dataset consists of 320 ground motions each with two horizontal components, which are the same as those used in Chang et al 26 They were recorded in earthquake events with moment magnitude (M w ) ≥5.5 and at least one of the two horizontal components has PGV value of larger than 30 cm/s. Specifically, the dataset consists of 320 ground motions each with two horizontal components, which are the same as those used in Chang et al 26 They were recorded in earthquake events with moment magnitude (M w ) ≥5.5 and at least one of the two horizontal components has PGV value of larger than 30 cm/s.…”
Section: Seismological Features Of Acc-pulses and Non-acc-pulsesmentioning
confidence: 99%
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