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机构地区:[1]广东工业大学土木与交通工程学院,广东广州510006 [2]华南理工大学土木与交通学院,亚热带建筑科学国家重点实验室,广东广州510640
出 处:《工程力学》2010年第6期65-71,97,共8页Engineering Mechanics
基 金:广州市科委科技攻关引导项目(2004Z3-E0351)
摘 要:提出一种利用小波包变换的随机信号功率谱分析的新方法。采用该法首次实现了背景响应与共振响应的分离。通过一个双频率信号的谱分析,考察了该方法的频率检测精度和分辨率。然后将该法应用于一个大跨屋盖风振响应的功率谱计算,检验了该法对随机信号的谱估计精度。计算结果表明:该方法速度快、精度高、分辨率也高,是一种适用于大型屋盖各种响应信号的谱估计算法;脉动响应信号的小波包分解是获得背景和共振响应时程的有效途径。A new approach using the wavelet packet transform is proposed for power spectral analysis of stochastic signals.The background component and the resonant component are separated successfully using the proposed approach.The accuracy of frequency detection and the resolving power of the proposed approach are investigated through a spectral analysis of a double-frequency signal.Then the approach is applied to compute the power spectra of the wind-induced response of a large-span roof structure.And the accuracy of spectral estimation for stochastic signals is verified.The numerical results indicate:1) the proposed approach is efficient and accurate with high resolving power,so it is applicable for power spectrum estimation of various response signals of large roofs induced by the wind;2) the wavelet packet decomposition of the fluctuating response signal is an effective approach to obtain time histories of the background response and the resonant response.
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