• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 28 Issue 2
Apr.  2015
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Article Contents
PENG Liuliu, HUANG Guoqing, MA Cunming, SU Yanwen. Decoupling of Evolutionary Power Spectral Density and Its Engineering Applications[J]. Journal of Southwest Jiaotong University, 2015, 28(2): 319-324,330. doi: 10.3969/j.issn.0258-2724.2015.02.017
Citation: PENG Liuliu, HUANG Guoqing, MA Cunming, SU Yanwen. Decoupling of Evolutionary Power Spectral Density and Its Engineering Applications[J]. Journal of Southwest Jiaotong University, 2015, 28(2): 319-324,330. doi: 10.3969/j.issn.0258-2724.2015.02.017

Decoupling of Evolutionary Power Spectral Density and Its Engineering Applications

doi: 10.3969/j.issn.0258-2724.2015.02.017
  • Received Date: 27 Dec 2013
  • Publish Date: 25 Apr 2015
  • In order to improve the simulation efficiency of nonstationary processes and simplify the structural response analysis under nonstationary excitations, evolutionary power spectral density (EPSD) was approximately decoupled into the linear summation of products of the squared modulus of Fourier transform of wavelet function at different scales and associated time coefficients, i.e., a generally modulated nonstationary process was transformed into the summation of a number of uniformly modulated nonstationary processes. The decoupled EPSD was applied to engineering fields, including the simulation of nonstationary processes and the stochastic response analysis of structures. The research results show that the decoupled EPSD has a satisfactory accuracy. The simulation efficiency of nonstationary stochastic processes is generally improved for dozens of times by using the fast Fourier transform (FFT). The estimated autocorrelation function of simulated samples agrees very well with the target function. The stochastic response analysis of structures is simplified, and the calculated responses using the proposed method have small errors compared with the targets.

     

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