山区地形实测风非平稳特性和非高斯特性分析

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摘要为了分析山区桥位实测风非平稳特性和非高斯特性，首先采用统计学Augment Dickey Fuller(ADF)法对实测风速样本非平稳性进行了定量检验，利用小波变化法提取非平稳风的时变平均风速，最后对实测风样本脉动风速分别进行平稳风速模型与非平稳风速模型下的高斯特性对比分析。研究结果表明：山区地形可能会出现突变风。常见非平稳风样本和突变风样本采用非平稳风速模型计算时变平均风速最大值比采用平稳风速模型计算10min常值平均风速最大值大。常见非平稳风样本采用非平稳风速模型和平稳风速模型计算脉动风接近高斯分布；突变风样本采用非平稳风速模型和平稳风速模型计算脉动风为非高斯分布。

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	辛亚兵1
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	刘志文1
	邵旭东1
	卢山东2

关键词 ：非平稳风, 非高斯特性, 突变风, 小波变化法, ADF法

Abstract：In order to analyze non-stationary and non-Gaussian features of wind samples measured at mountain terrain bridge site, their non-stationarity was quantitatively detected firstly with the augment Dickey Fuller (ADF) method in statistics.Then, the time-varying mean speed of non-stationary wind was extracted with the wavelet transform method.Finally, Gaussian features of measured wind samples’ fluctuating wind speeds were contrastively analyzed with the stationary wind speed model and non-stationary one.The results showed that sudden wind samples may appear at mountainous terrain; for common non-stationary wind samples and sudden wind samples, their time varying mean speed maximum values calculated using the non-stationary wind speed model are greater than the 10min mean wind speed maximum ones calculated using the stationary wind speed model; fluctuating wind speeds of common non-stationary wind samples calculated using the stationary and non-stationary wind speed models, respectively are close to Gaussian distribution; fluctuating wind speeds of sudden wind samples calculated using the stationary and non-stationary wind speed models, respectively are non-Gaussian distribution.

Key words： non-stationary wind non-Gaussian feature transient wind wavelet transform method ADF method

收稿日期: 2017-03-31 出版日期: 2018-10-28

引用本文:

辛亚兵1,2，刘志文1，邵旭东1，卢山东2. 山区地形实测风非平稳特性和非高斯特性分析[J]. 振动与冲击, 2018, 37(21): 247-252.
XIN Yabing1,2, LIU Zhiwen1, SHAO Xudong1, LU Shandong2. Non-stationary and non-Gaussian features of mountain terrain measured wind. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(21): 247-252.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2018/V37/I21/247

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