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author:

Qiao, W. (Qiao, W..) [1] | Liu, G. (Liu, G..) [2] (Scholars:刘国明) | Xiao, Z. (Xiao, Z..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

This paper presents a trigonometric series method to synthesize simulated earthquake waves. In this method, theoretical and numerical solutions are combined to calculate the contribution of each frequency component to response spectrum used for amplitude spectrum correction to reduce numerical errors in solving simple harmonic motions with periods close to the numerical time step. Least square method is used to regulate earthquake waves generated in the iterative process, and the corrected standard earthquake waves are normalized. The method can ensure the accuracy of amplitude spectrum adjustment and improve numerical stability and convergence in the iteration of simulated earthquake wave computation. Application of the method to the concrete faced rockfill dam of Fujian Xianyou pumped storage power station shows that the synthesized earthquake waves meets the accuracy requirement of response spectrum in hydraulic structure design and the design requirement of peak acceleration, while eliminating the shifts in time developments of velocity and displacement of the simulated earthquake waves. © Copyright.

Keyword:

Amplitude spectrum adjustment; Hydraulic structure; Least square method; Normalization; Simulated earthquake wave

Community:

  • [ 1 ] [Qiao, W.]College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Liu, G.]College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
  • [ 3 ] [Xiao, Z.]College of Civil Engineering, Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • 刘国明

    [Liu, G.]College of Civil Engineering, Fuzhou University, Fuzhou 350108, China

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Source :

Journal of Hydroelectric Engineering

ISSN: 1003-1243

CN: 11-2241/TV

Year: 2013

Issue: 5

Volume: 32

Page: 232-238

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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