Release Time:2020-03-02  Hits:

Indexed by: Journal Papers

Date of Publication: 2020-03-01

Journal: KSCE JOURNAL OF CIVIL ENGINEERING

Included Journals: SCIE、EI

Volume: 24

Issue: 3

Page Number: 922-930

ISSN: 1226-7988

Key Words: Near-fault ground motion; Quantitative identification; Ensemble empirical mode decomposition; Velocity pluses; Earthquake

Abstract: 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.