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 instantaneons 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.