摘要
研究生成既满足给定的工程谱特性,又具有间歇性结构的风速序列作为结构气动计算的输入。生成大气边界层紊流的人工风速序列是做结构风振计算的重要步骤,目前的方法都是生成高斯序列;实际的大气边界层紊流具有多尺度多层次的非高斯结构,集中体现在所谓"间歇性"上。利用佘振苏与Leveque提出的对数泊松律模型产生各尺度的小波系数,可以在拟合目标风速谱的同时引入湍流间歇性,通过小波逆变换生成单条风速序列,再用拟合周期图的思路扩展为多重相关序列。
This paper describes an Inverse Wavelet Transform (IWT) approach to simulate target wind series with intermittency for given spectral functions as the input of structural wind responses analysis. The artificial wind series simulation is an important step in wind responses analysis, such as buffeting of bridges. Present methods simulate Gaussian series; however, turbulence in atmospheric boundary layers takes on multi-scale structures, of which being identified as the intermittency. The Log-Poisson law proposed by She and Leveque is thus employed to introduce the intermittency into wavelet coefficients while at the same time preserves the target spectral characters. While a single series produced, multiple correlated series can be simulated using a periodogram approach.
出处
《空气动力学学报》
EI
CSCD
北大核心
2004年第3期365-370,共6页
Acta Aerodynamica Sinica
关键词
人工风速序列
间歇性
小波
对数泊松律
Boundary layers
Degaussing
Earth atmosphere
Poisson distribution
Turbulent flow
Wavelet transforms
