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
Link To Document