基于HHT的钢筋混凝土结构损伤检测新方法分析
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摘要
针对混凝土结构损伤信号的特点,引入一种非平稳信号的时频分析新方法———希尔伯特-黄变换(Hilbert-Huang变换,简称HHT)用于混凝土结构损伤检测。该方法是通过经验模态分解(empirical mode decomposition,EMD)提取信号的固有模态函数(intrinsic mode function,IMF),再进行Hilbert变换,求瞬时频率、瞬时振幅,得到信号的Hilbert谱。试验中通过对无损伤和有损伤两种钢筋混凝土梁进行侧向激振检测,对无损伤信号和损伤信号谱特征进行比较分析,结果表明HHT方法能识别结构损伤,且优于常规的Fourier变换方法及小波变换(wavelet transform,WT)方法,值得推广。
In view of damage signal characteristics of concrete structure,a new time-frequency analysis method of unstable signal——Hilbert-Huang transformation(HHT) is used in damage detection of concrete structure.The signal is decomposed into intrinsic mode function(IMF) by the empirical mode decomposition(EMD) method.Then Hilbert spectrum is obtained from instantaneous frequency and amplitude obtained from Hilbert transform.According to lateral actuating vibration of intact and damaged reinforced concrete beam,the signals got in the lab were analyzed.The spectrum features of intact and damaged signals were compared and analyzed.The experimental results show that the method is more efficient than routine fast Fourier transform(FFT) and wavelet transform(WT).HHT method is worth to be applied widely.
In view of damage signal characteristics of concrete structure,a new time-frequency analysis method of unstable signal——Hilbert-Huang transformation(HHT) is used in damage detection of concrete structure.The signal is decomposed into intrinsic mode function(IMF) by the empirical mode decomposition(EMD) method.Then Hilbert spectrum is obtained from instantaneous frequency and amplitude obtained from Hilbert transform.According to lateral actuating vibration of intact and damaged reinforced concrete beam,the signals got in the lab were analyzed.The spectrum features of intact and damaged signals were compared and analyzed.The experimental results show that the method is more efficient than routine fast Fourier transform(FFT) and wavelet transform(WT).HHT method is worth to be applied widely.
引文
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[2]石春香,罗奇峰.时程信号的Hilbert-Huang变换与小波分析[J].地震学报,2003,25(1):3-6.SHI ChunXiang,LUO QiFeng.Hilbert-Hunag transform and waveletanalysis of time history signal[J].Acta Seismologica Sinica,2003,25(1):3-6(In Chinese).
[3]Huang N E,Shen Z,Long S R.The empirical mode decomposition andthe Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proc R Soc,1998,A454:903-995.
[4]李建伟,许宝杰,韩秋实.非平稳振动信号分析中Hibert-Huang变换的对比研究[J].机械强度,2006,28(2):165-169.LI JianWei,XU BaoJie,HAN QiuShi.Study on Hilbert-Huang transformin the analysis of non-stationary vibration signal[J].Journal of Mechani-cal Strength,2006,28(2):165-169(In Chinese).
[5]Peng Z K,Tse Peter W,Chu F L.An improved Hilbert-Huang transformand its application in vibration signal analysis[J].Journal of Sound andVibration.2005,286:187-205.
[6]Datig Marcus,Schlurmann Torsten.Performance and limitations of theHilbert-Huang transformation(HHT)with an application to irregular wa-ter waves[J].Ocean Engineering,2004,31:1783-1834.
[7]Yang J N,Lei Y,huang N.Damage identification of civil engineeringstructures using Hilbert-Huang transform[C]//3rd International Workshopon Structural Health Monitoring.Stanford:Stanford University,2001:544-553.
[8]陈换过,闫云聚,姜节胜.改进的HHT在复合材料盒段损伤检测中的应用[J].机械强度,2007,29(2):175-179.CHEN HuanGuo,YAN YunJu,JIANG JieSheng,et al.Damage detec-tion of composite wingbox structures using improved Hilbert-Huang trans-form[J].Journal of Mechanical Strength,2007,29(2):175-179(InChinese).
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