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Quantitative identification of near-fault pulse-like ground motions based on variational mode decomposition technique
Abstract Near-fault ground motions have distinctive features different from typical far-field ground motions. The approach detects near-fault pulse-like ground motion based on the variational mode decomposition (VMD) technique. First, the original ground motion can be decomposed into a series of intrinsic mode functions (IMFs) with the VMD technique. The low-frequency signal is obtained by synthesizing the IMFs with the center frequency lower than an adaptive frequency threshold proposed in this paper. Second, the pulse signal and the pulse period are obtained from the best-fitting low-frequency signal by the peak-point method. Finally, 596 records are utilized to calibrate the classification standard. It is concluded that these ground motions with relative energy indicator greater than 0.27 can be classified as pulse-like. The approach is further used to identify the pulse-like ground motion with a significant velocity pulse at the beginning, which may be caused by the forward-directivity effects.
Highlights This study proposes an identification method to detect pulse-like records based on the VMD technique. The pulse signal and the pulse period are obtained based on the VMD technique and the peak-point method. The record with the relative energy indicator greater than 0.27 can be classified as pulse-like. The proposed approach can identify the pulse-like records potentially produced by forward-directivity effects.
Quantitative identification of near-fault pulse-like ground motions based on variational mode decomposition technique
Abstract Near-fault ground motions have distinctive features different from typical far-field ground motions. The approach detects near-fault pulse-like ground motion based on the variational mode decomposition (VMD) technique. First, the original ground motion can be decomposed into a series of intrinsic mode functions (IMFs) with the VMD technique. The low-frequency signal is obtained by synthesizing the IMFs with the center frequency lower than an adaptive frequency threshold proposed in this paper. Second, the pulse signal and the pulse period are obtained from the best-fitting low-frequency signal by the peak-point method. Finally, 596 records are utilized to calibrate the classification standard. It is concluded that these ground motions with relative energy indicator greater than 0.27 can be classified as pulse-like. The approach is further used to identify the pulse-like ground motion with a significant velocity pulse at the beginning, which may be caused by the forward-directivity effects.
Highlights This study proposes an identification method to detect pulse-like records based on the VMD technique. The pulse signal and the pulse period are obtained based on the VMD technique and the peak-point method. The record with the relative energy indicator greater than 0.27 can be classified as pulse-like. The proposed approach can identify the pulse-like records potentially produced by forward-directivity effects.
Quantitative identification of near-fault pulse-like ground motions based on variational mode decomposition technique
Feng, Jun (author) / Zhao, Boming (author) / Zhao, Tianci (author)
2021-09-27
Article (Journal)
Electronic Resource
English
| Taylor & Francis Verlag | 2024