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Quantitative Identification of Near-Fault Ground Motions Based on Ensemble Empirical Mode Decomposition
To overcome this difficulty, this paper proposes a near-fault ground motion identification method based on ensemble empirical mode decomposition (EEMD). Compared with other near-fault identification methods, such as near-fault ground motion identification method based on empirical mode decomposition (EMD), this method can accurately obtain the low-frequency signal of ground motion, and then identify near-fault ground motion more accurately. To verify the quality of near-fault ground motions identified by near-fault ground motions based on EEMD, the fault distance, pulse period and acceleration response of near-fault ground motions are analyzed. It is found that the near-fault ground motions obtained by EEMD can effectively avoid the misidentification of near-fault ground motions, and the identified near-fault ground motions have stronger near-fault characteristics.
Quantitative Identification of Near-Fault Ground Motions Based on Ensemble Empirical Mode Decomposition
To overcome this difficulty, this paper proposes a near-fault ground motion identification method based on ensemble empirical mode decomposition (EEMD). Compared with other near-fault identification methods, such as near-fault ground motion identification method based on empirical mode decomposition (EMD), this method can accurately obtain the low-frequency signal of ground motion, and then identify near-fault ground motion more accurately. To verify the quality of near-fault ground motions identified by near-fault ground motions based on EEMD, the fault distance, pulse period and acceleration response of near-fault ground motions are analyzed. It is found that the near-fault ground motions obtained by EEMD can effectively avoid the misidentification of near-fault ground motions, and the identified near-fault ground motions have stronger near-fault characteristics.
Quantitative Identification of Near-Fault Ground Motions Based on Ensemble Empirical Mode Decomposition
KSCE J Civ Eng
Liu, Zhen (author) / Li, Xiaolong (author) / Zhang, Zhe (author)
KSCE Journal of Civil Engineering ; 24 ; 922-930
2020-03-01
9 pages
Article (Journal)
Electronic Resource
English
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