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基于小波分析的结构损伤检测研究进展
State-of-the-art research and development of wavelet analysis based structural damage detection
【摘要】 近10几年来,在土木和机械领域结构损伤识别方法已引起不同领域的相关学者的极大研究兴趣。小波分析是一种新的数学分析和信号处理工具,可以对非稳态信号进行详细的时频分析,是传统傅里叶分析所不能及的,已广泛应用于土木、机械和航空工程领域中,特别是在结构损伤识别和健康监测中的应用尤为突出。本文回顾和总结了小波分析理论及其在结构损伤识别、损伤定位和损伤程度确定中的应用,对今后的研究进行了讨论和展望。
【Abstract】 Wavelet analysis is a relatively new mathematical and signal processing tool. It is a time frequency technique that provides more detailed information about non-stationary signals, which is superior to the traditional frequency-domain Fourier analysis. Wavelet analysis has been applied to various fields including civil, mechanical and aerospace engineering, especially damage detection and structural health monitoring. This paper is to provide the state-of-the-art research and development of wavelet analysis based structural damage detection. The theory of wavelet analysis, wavelet analysis based damage detection, damage location identification and damage severity evaluation are presented. The further work to be done is also discussed.
【Key words】 damage identification; wavelet transform; wavelet analysis; health monitoring;
- 【文献出处】 地震工程与工程振动 ,Earthquake Engineering and Engineering Vibration , 编辑部邮箱 ,2005年02期
- 【分类号】TU317
- 【被引频次】132
- 【下载频次】1254