Journal of Shanghai University(Natural Science Edition) ›› 2017, Vol. 23 ›› Issue (4): 600-608.doi: 10.12066/j.issn.1007-2861.1852

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Simulation of non-Gaussian fluctuating wind pressure based on LPZ spectral analysis

JIANG Lei, LI Chunxiang, DENG Ying   

  1. Department of Civil Engineering, Shanghai University, Shanghai 200444, China
  • Received:2016-09-30 Online:2017-08-30 Published:2017-08-30

Abstract:

This paper presents an algorithm based on linear prediction and Z-transform(LPZ) spectral analysis to simulate non-Gaussian fluctuating wind pressure. The Gaussian process is converted into a non-Gaussian white noise process by Johnson translator system. The non-Gaussian white noise process is then filtered with LPZ spectral analysis to obtain fluctuating wind pressure. The univariate non-Gaussian random signals and non-Gaussian fluctuating wind pressure are simulated using the algorithm. By comparing the statistical parameters including skewness, kurtosis and power spectral density of the non-Gaussian white noise process and fluctuating wind pressure with their target values, it is confirmed that the algorithm based on LZP spectral analysis can effectively simulate non-Gaussian fluctuating wind pressure.

Key words: digital filter, Johnson translator system, linear prediction and Z-transform (LZP) spectral analysis, non-Gaussian fluctuating wind pressure simulation