基于小波分析的高拱坝裂缝损伤识别
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摘要
小波变换是一个优越的时-频局部化分析方法,能够对信号进行任意精细程度分析,识别信号中的突变点或间断点。基于高拱坝坝体的变形应用小波分析对坝体裂缝进行损伤位置识别,提出小波变换系数残差作为整体损伤指标,给出了该方法的的基本原理和计算思路。以某高拱坝有限元模拟数据为例,分析结果表明小波变换在高拱坝裂缝损伤分析方面具有较好的的实用性和操作性。
The wavelet transform is an excellent time-frequency localization analysis method,which could make analysis for any fine degree of signal to identify the point mutations or discontinuities in the signal.Based on the deformation of high arch dam and by using wavelet analysis to make the damage location identification of cracks in dam body,the wavelet transform coefficient residual is proposed as the whole damage index,and the basic principles and calculation idea of the method are given here.Taking the finite element simulation data of a high arch dam for example,the analysis results show that the wavelet transform has better availability and operability in the crack damage analysis of high arch dam.
The wavelet transform is an excellent time-frequency localization analysis method,which could make analysis for any fine degree of signal to identify the point mutations or discontinuities in the signal.Based on the deformation of high arch dam and by using wavelet analysis to make the damage location identification of cracks in dam body,the wavelet transform coefficient residual is proposed as the whole damage index,and the basic principles and calculation idea of the method are given here.Taking the finite element simulation data of a high arch dam for example,the analysis results show that the wavelet transform has better availability and operability in the crack damage analysis of high arch dam.
引文
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[2]Pandey A K,Biswas M,Samman M M.Damage detection instructures using changes in flexibility[J].Journal of Soundand Vibration,1994,169:3-17.
[3]Chance J E,Worden K,Tomlinson G R.Processing signalsfor damage detection in structures using neural networks[J].Smart Structures and Materials,1994,2191:176-186.
[4]Newland D E.Wavelet Analysis of Vibration,Part l:Theory[J].Journal of Vibration and Acousties,1994,116:409-416.
[5]Wang W J.Application of orthogonal wavelets to early geardamage detection[J].Mechanical Systems and SignalProeessing,1995,9(5):497-507.
[6]Wang W J,Mcfadden P D.Application of wavelet to gearboxvibration signals of fault detection[J].Journal of Sound andVibration,1996,192(5):927-939.
[7]Ovanesova A V,Suarez L E.Application of wavelet trans-forms to damage detection in frame structures[J].Engineer-ing Structures,2004,26(l):39-49.
[8]崔永建,张磊,佟剑杰.基于小波分析的大坝监测数据效应分量的提取[J].水电能源科学,2009,27(5):81-84.
[9]徐长发,李国宽.实用小波方法[M].武汉:华中科技大学出版社,1999.
[10]飞思科技产品研发中心编著.小波分析理论与MAT-LAB7实现[M].北京:电子工业出版社,2005.
[11]张镭于,刘立健,刘召河,等.基于小波包分析的人造地震波合成及应用[J].水利与建筑工程学报,2011,9(1):51-54.