复杂结构损伤检测的分段小波变换法
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
小波变换由于具有表征信号局部特征的能力,很适合探测信号中的反常成分,因此已越来越广泛的应用于简单结构的损伤检测。但对于工程中常见的复杂结构,转折点的存在却限制了小波变换的应用,尤其是难以检测到转折点处的损伤。该文采用将复杂结构分段化的方法来模拟海上自升式平台的两种损伤工况,经合理地选取模态类型,成功地检测到了此种复杂结构的多损伤情况。为了避免采用分段方法后因边界效应而引起的伪破坏,该文引入了模态扩展方法。对结构的模态进行扩展处理后,可准确地检测到结构端部或转折处发生的破损。
Wavelet transformation could be used to identify abnormal information in particular locations. Therefore, it has more and more applications in damage detection for simple structures. However, the existence of turning points limits its application in complex structures. In this paper, the wavelet transformation method is used to identify damages in an offshore platform. The subsection technique is used for complex structures, which will introduce more end points and turning points. To combine the wavelet transformation method with the subsection technique, the modal expansion method is introduced in this paper. Numerical results demonstrate that the proposed method can generate good results if appropriate form of modal is used. Introduction of subsection method could guarantee the accurate damage detection for even end points and turning points, so that false detection will be avoided and real damage will not be missed.
引文
[1]飞思科技产品研发中心.小波分析理论与MATLAB7实现[M].北京:电子工业出版社,2005.Feisi R&D Center for Hightech.Wavelet analysis and MATLAB7[M].Beijing:Publishing House of Electronics Industry,2005.(in Chinese)
    [2]Liew K M,Wang Q.Application of wavelet theory for crack identification in structures[J].Journal of Engineering Mechanics,1998,124(2):152-157.
    [3]Hou Z,Noori M,Amand R S.Wavelet-based approach for structural damage detection[J].Journal of Engineering Mechanics,2000,126(7):677-683.
    [4]Hani M,Hansang K.Damage detection in concrete by Fourier and wavelet analysis[J].Journal of Engineering Mechanics,2003,129(5):571-577.
    [5]Sun Z,Chang C C.Structural damage assessment based on wavelet packet transform[J].Journal of Structural Engineering,2002,128(10):1354-1361.
    [6]李宏男,孙鸿敏.基于小波分析和神经网络的框架结构损伤诊断方法[J].地震工程与工程振动,2003,23(5):141-148.Li Hongnan,Sun Hongmin.Damage diagnosis of framework structure based on wavelet packet analysis and neural network[J].Earthquake Engineering and Engineering Vibration,2003,23(5):141-148.(in Chinese)
    [7]Wang Q,Deng X M.Damage detection with spatial wavelets[J].Internationnal Journal of Solids and Structures,1999,36(23):3443-3468.
    [8]李洪泉,董亮,吕西林.基于小波变换的结构损伤识别与试验分析[J].土木工程学报,2003,36(5):52-57,75.Li Hongquan,Dong Liang,Lu Xilin.Identification of structural damage and test study based on wavelet transform[J].China Civil Engineering Journal,2003,36(5):52-57,75.(in Chinese)
    [9]韩晓林,彭岳星,唐新鸣.基桩检测反射波的非线性小波降噪重建方法[J].土木工程学报,2001,34(6):105-107.Han Xiaolin,Peng Yuexing,Tang Xinming.Denoising and signal-rebuilding reflex wave of pile foundation using nonlinear wavelet[J].China Civil EngineeringJournal,2001,34(6):105―107.(in Chinese)
    [10]骆英,柳祖亭,潘宠平.小波滤波在基桩完整性测试系统中的应用研究[J].实验力学,2000,15(4):460-465.Luo Ying,Liu Zuting,Pan Chongping.Research on the wavelets filtering method used in integrity testing of foundation piles[J].Journal of Experimental Mechanics,2000,15(4):460-465.(in Chinese)
    [11]向阳,史习智.混凝土结构缺陷的融合识别研究[J].振动工程学报,2001,14(1):36-41.Xiang Yang,Shi Xizhi.Research on identification of concrete flaws by information fusion[J].Journal of Vibration Engineering,2001,14(1):36-41.(in Chinese)
    [12]廖锦翔,袁明武,张劲泉.小波变换在桥梁结构损伤识别中的应用[J].公路交通科技,2004,21(11):30-34.Liao Jinxiang,Yuan Mingwu,Zhang Jinquan.Application of wavelet transform on damage detection of bridge structure[J].Journal of Highway and Transportation Research and Development,2004,21(11):30-34.(in Chinese)
    [13]Mallat S G.Characterization of signals from multiscales edges[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1992,14(7):710―732.

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心