Effects of pulse like ground motion records with and without acceleration pulses on the earthquake responses of structures with varying dynamic properties

Gümüş, Muhammed; Durucan, Caner

doi:10.1016/j.istruc.2022.09.042

Cited by 6 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the velocity pulse can be the integral result of either the distinct acceleration pulse or a succession of high-frequency one-sided acceleration spikes, Chang et al 28 proposed a wavelet-packets-based algorithm for classifying acceleration pulses; and it is demonstrated that velocity pulses with different acceleration features can render clearly different structural responses. [29][30][31][32][33] Recently, Zhao et al 34 developed an approach based on the Siamese convolutional neural networks, by which ground motions with similar pulse-like features can be classified into various groups. To identify multiple pulses, Chen et al 35 presented a generalized continuous wavelet transform method by combining convolution analysis with evaluation parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Since the velocity pulse can be the integral result of either the distinct acceleration pulse or a succession of high‐frequency one‐sided acceleration spikes, Chang et al 28 . proposed a wavelet‐packets‐based algorithm for classifying acceleration pulses; and it is demonstrated that velocity pulses with different acceleration features can render clearly different structural responses 29–33 . Recently, Zhao et al 34 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automated parameterization of velocity pulses in near‐fault ground motions

Chang,

Wu,

Goda

2023

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

Proper parameterization of near‐fault ground motions is of critical importance in earthquake engineering, and this process is traditionally performed by directly fitting an analytical pulse model to the original motion. Yet such a process is usually limited by the trial‐and‐error procedure, which is strongly dependent on the initial guesses and may converge to local rather than global minimums. In this study, we propose a progressive (step‐by‐step) iterative approach that can achieve a fully automated parameterization of the velocity pulse contained in near‐fault motions. Assuming that a velocity pulse can be characterized by a pulse model with four key parameters, the approach is conducted by iteratively matching the pulse model to the smoothed ground motion, and the parameterized pulse is analytically derived by best fitting to the smoothed motion not only in the time domain but also in the spectral domain. Specifically, the velocity time history of interest is initially smoothed by a moving average filter so that the low‐frequency content can be filtered out of the original motion, from which the pulse amplitude as well as its epoch is accordingly determined. The coherent velocity pulse is then progressively extracted by performing the nonlinear least‐square‐fitting of the pulse model to the filtered low‐frequency content, during which the remaining parameters, that is, the pulse period, the number of cycles and the phase of the pulse, are estimated successively. Finally, the above procedure is applied repeatedly to the original ground motion by changing an empirical factor controlling the extent of smoothing of the motion so that convergence to local minimums that frequently occurs in the trial‐and‐error procedure could be largely avoided, and best match of the spectrum of the extracted pulse to that of the original motion can be acquired. Fitting quality of the velocity pulses is examined by comparing with existing methods. Prospective applications of the proposed procedure include the stochastic simulations of near‐fault ground motions and parametric investigations of the influence of velocity pulses on various engineered structures.

show abstract