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Shock and Vibration
Volume 2017, Article ID 7615863, 11 pages
Research Article

Improvement of and Parameter Identification for the Bimodal Time-Varying Modified Kanai-Tajimi Power Spectral Model

Department of Civil Engineering, Logistical Engineering University, Chongqing 401311, China

Correspondence should be addressed to Ting Zhong; moc.621@5102gnitgnohz

Received 15 January 2017; Revised 7 June 2017; Accepted 11 July 2017; Published 10 August 2017

Academic Editor: M. I. Herreros

Copyright © 2017 Huiguo Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Based on the Kanai-Tajimi power spectrum filtering method proposed by Du Xiuli et al., a genetic algorithm and a quadratic optimization identification technique are employed to improve the bimodal time-varying modified Kanai-Tajimi power spectral model and the parameter identification method proposed by Vlachos et al. Additionally, a method for modeling time-varying power spectrum parameters for ground motion is proposed. The 8244 Orion and Chi-Chi earthquake accelerograms are selected as examples for time-varying power spectral model parameter identification and ground motion simulations to verify the feasibility and effectiveness of the improved bimodal time-varying modified Kanai-Tajimi power spectral model. The results of this study provide important references for designing ground motion inputs for seismic analyses of major engineering structures.