• DocumentCode
    495709
  • Title

    Simulation of Non-Gaussian Stochastic Process: Fluctuating Wind Pressure

  • Author

    Li, Chunxiang ; Li, Jinhua ; Liu, Qing

  • Author_Institution
    Dept. of Civil Eng., Shanghai Univ., Shanghai, China
  • Volume
    2
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    144
  • Lastpage
    148
  • Abstract
    In order to simulate the non-Gaussian fluctuating wind pressure with prescribed lower-order moments and its target power spectral density (PSD) function, the following framework is proposed in the present paper: Firstly, the PSD function of fluctuating wind pressure is deduced rigorously according to the relationship between the wind pressure and velocity; Then, an efficient yet practical method by which the fluctuating wind pressure may be reproduced with the designated skewness and kurtosis is presented based on the derived PSD function, Johnson translator system, and digital filter; Finally, in order to corroborate the feasibility and correctness of the present methodology, a numerical example of simulating one-dimensional univariate non-Gaussian fluctuating wind pressure is taken into consideration. Numerical results indicate that the statistical parameters, such as the skewness and kurtosis, of the simulated fluctuating wind pressure are in remarkably agreement with their targets. Likewise, the PSDs of the simulated records and target show considerably good agreement with each other.
  • Keywords
    statistical analysis; stochastic processes; wind; 1D univariate nonGaussian fluctuating wind pressure; Johnson translator system; PSD function; digital filter; kurtosis; lower-order moments; nonGaussian stochastic process; power spectral density; skewness; statistical parameters; wind velocity; Civil engineering; Computational modeling; Computer science; Computer simulation; Design engineering; Digital filters; Numerical simulation; Power engineering and energy; Stochastic processes; Wind speed; Johnson translator system; Statistical parameters; fluctuating wind pressure; non-Gaussian; simulation; white noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.197
  • Filename
    5171318