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.


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    Titel :

    Quantitative Identification of Near-Fault Ground Motions Based on Ensemble Empirical Mode Decomposition


    Weitere Titelangaben:

    KSCE J Civ Eng


    Beteiligte:
    Liu, Zhen (Autor:in) / Li, Xiaolong (Autor:in) / Zhang, Zhe (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2020-03-01


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch