loading page

Non-stationary characteristics and evolutionary power spectral density model of strong winds
  • +3
  • Weicheng Hu,
  • Liuliu Peng,
  • Qingshan Yang,
  • Linya Liu,
  • Pengfei Zhang,
  • Shaopeng Li
Weicheng Hu
Chongqing University

Corresponding Author:[email protected]

Author Profile
Liuliu Peng
Chongqing University
Author Profile
Qingshan Yang
Chongqing University
Author Profile
Linya Liu
East China JiaoTong University
Author Profile
Pengfei Zhang
East China JiaoTong University
Author Profile
Shaopeng Li
Chongqing University
Author Profile

Abstract

Wind velocity is usually assumed to obey a stationary stochastic process in wind-resistant design, without taking into account the non-stationarity. The wavelet transform (WT) method was adopted to capture the time-varying properties of the low-frequency mean winds, and the associated turbulence features, including turbulent intensity, gust factor, probability density function, and power spectrum, were analyzed in depth. Furthermore, the three-dimensional evolutionary power spectral density (EPSD) of strong winds was estimated. Finally, this study presents a study on the modeling of the three-dimensional EPSD. The results show that the proposed EPSD models are in good agreement with the estimated EPSD. This study can be used for numerical simulation of non-stationary wind and analysis of wind-induced effects under turbulent atmospheric boundary layers with consideration of non-stationarity.