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author:

Qiao, W. (Qiao, W..) [1] | Luo, P. (Luo, P..) [2] | Liu, G.-M. (Liu, G.-M..) [3]

Indexed by:

Scopus CSCD

Abstract:

Modal identification of the Shuikou concrete gravity dam has been conducted based on natural excitation technique and Hilbert-Huang transform under four different seismic excitations on it. A new approach is proposed by bandpass filtering technology combining with the modal identification method, which avoids the phenomenon of frequency mixed effectively during the signal decomposition, thus improving the accuracy and reliability of the modal parameter identification. Firstly, a simple example of structural dynamics was used to verify the correctness of the method, and then this method was used for concrete gravity dam modal parameter identification for the first time. The results show that the frequencies identified by HHT+NExT are slightly larger than the result of the peak-picking method and ARX model, and close to the results of FEM. Damping ratios identified by HHT+NExT are also somewhat larger than the results of the peak-picking method and ARX model, and meanwhile, they are slightly less than the design specification ranges namely between 5%~10% of the lower limit of 5% in specifications for seismic design of hydraulic structures.

Keyword:

Hilbert-Huang transform; Hydraulic structure; Modal identification; Natural excitation technique; Shuikou concrete gravity dam

Community:

  • [ 1 ] [Qiao, W.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Luo, P.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Liu, G.-M.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • [Qiao, W.]College of Civil Engineering, Fuzhou UniversityChina

Email:

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Source :

Journal of Hydraulic Engineering

ISSN: 0559-9350

Year: 2014

Issue: 8

Volume: 45

Page: 958-966

1 . 6 2 1

JCR@2014

2 . 1 0 0

JCR@2023

ESI HC Threshold:184

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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