小波分析在隧道衬砌质量检测中的应用

Application of Wavelet Analysis to Inspection of Tunnel lining

基于小波分析的特点，用小波变换和奇异性测度Ｌｉｐｓｃｈｉｔｚ指数对探地雷达的隧道衬砌质量检测中衬砌界面及空洞界面回波波峰进行时频分析处理和自动识别。实验结果表明，该技术使衬砌厚度检测误差由原来的１５％～２１％减小到６．７％．

Based on the features of the wavelet analysis, wavelet and lipschitz exponents are used to make time frequency analysis and automatic recognition of the echo crest, which is reflected by the tunnel lining bound and surrounding rock bound when inspecting tunnel lining by means of ground probing radar. The experiment results show that the technique can decrease the error in inspecting lining from 15%～21% to 6.7%.