Experimental Research on the Acoustic-vibration Detection of Tunnel Secondary Liner Void
DOU Shun1, HE Lei2, ZHENG Jing1, WANG Nian-qin2
(1.Northwest Research Institute Co. Ltd of CREC, Lanzhou, Gansu 730000, China; 2.Xi′an University of Science and Technology, Xi′an, Shaanxi 710054, China)
Abstract：Abstract：Research purposes： The void of tunnel secondary liner threats the safe operation of road seriously, timely detection and prevention work is particularly significant. In order to solve the problems in existing detection methods, reduce the detection cost, this paper conducts the experimental research of acoustic-vibration detection, through the frequency conversion, extraction of eigenvalues and the neural network fitting of the response signal, the preliminary criterion for the void determination is obtained. Research conclusions：（1）Low frequency component (about 1 000 Hz) of serious void signal is prominent, high frequency component (about 8 000 Hz) of no void signal is prominent, the slight void signal shows uniform distribution of low and high frequency components in similar proportion, and the curve is in a multi peak shape.（2）The main peak frequency, secondary peak frequency and decline rate of peaks can be regarded as the signal eigenvalues, and reflect the secondary liner structure state in the round.（3）Taking the eigenvalues and the corresponding secondary liner structure state as the input and output value for BP neural network training, through testing the network, the mean square error of predictive value is small (mse=6.475e-5), which means the network has a good prediction ability and can realize the qualitative identification and determination of secondary liner structure state initially.（4）The research results can provide theoretical basis for engineering application of acoustic-vibration method in tunnel secondary liner void detection.
窦顺1,贺磊2,郑静1,王念秦2. 隧道二衬脱空声振检测试验研究[J]. 铁道工程学报, 2017, 34(7): 66-71.
DOU Shun1, HE Lei2, ZHENG Jing1, WANG Nian-qin2. Experimental Research on the Acoustic-vibration Detection of Tunnel Secondary Liner Void. Journal of Railway Engineering Society, 2017, 34(7): 66-71.
2017, Vol. 34 
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