Model Test of Ground Penetrating Radar Detection for High Speed Railway Tunnel Lining with Defects

被引:1
作者
Liu J. [1 ,2 ]
Zhang Q. [1 ,2 ]
Du C. [1 ,2 ]
Liu Z. [3 ]
机构
[1] Railway Engineering Research institute, China Academy of Railway Sciences Corporation Limited, Beijing
[2] State Key Laboratory for Track Technology of High-Speed Railway, Beijing
[3] School of Cyberspace Security, Huazhong University of Science and Technology, Wuhan
来源
Zhongguo Tiedao Kexue/China Railway Science | 2021年 / 42卷 / 05期
关键词
Ground penetrating radar; High-speed railway tunnel; Lining defect; Lining thickness; Model test; Nondestructive detection;
D O I
10.3969/j.issn.1001-4632.2021.05.12
中图分类号
学科分类号
摘要
Based on a tunnel of Yinchuan-Xi'an high-speed railway, the lining model of high-speed railway with defects was established. The detection tests were carried out by using 900 MHz and 400 MHz ground penetrating radar antennas respectively. On the basis of analyzing the forms of radar profile defects, the waveform characteristics and the spectrum characteristics of defects were summarized. In this paper, a method for calculating the thickness of tunnel lining was proposed by using the reflection hyperbola of point object to determine the zero line position of radar wave and to invert the propagation velocity of radar wave. By drilling holes and coring at the corresponding positions in the model, the accuracy of identifying tunnel lining defects and the accuracy of lining thickness calculation method were verified by using the radar wave waveform characteristics and spectrum characteristics. The results show that the waveform characteristics and spectrum characteristics of radar wave can be used to assist in identifying the types of lining defects. Two kinds of antennas have good detection effects on cavity defects and reinforcement distribution in the lining, and even can detect the cavities with an area of less than 0.1 m2. The lining thickness of 8 design defects are calculated. The maximum relative error is 4.11% and the average relative error is 1.53%, indicating that the calculation method for lining thickness has high accuracy. The influence of target buried depth on detection results is much larger than that of target scale. If detecting the targets with larger buried depths, it is necessary to increase the transmitting power of the equipment or reduce the center frequency of the antenna. The defect detection rate is related to the defect scale, line density and other factors, which can be improved by increasing the number of lines. © 2021, Editorial Department of China Railway Science. All right reserved.
引用
收藏
页码:103 / 111
页数:8
相关论文
共 17 条
[1]  
TIAN Tian, Study on the Dynamic Response of High-Speed Railway Tunnel with Cavities under the Train Load, (2017)
[2]  
ZHAO Y, LI P F., A Statistical Analysis of China's Traffic Tunnel Development Data, Engineering, 4, 1, pp. 3-5, (2018)
[3]  
LIU Zonghui, WU Yifan, LIU Baodong, Et al., Research on the Interference Elimination Method of GPR Signal for Tunnel Geological Prediction, Chinese Journal of Engineering, 42, 3, pp. 390-398, (2020)
[4]  
YANG Yanqing, HE Shaohui, QI Falin, Et al., Simulation Test of GPR Non-Contact Detection on Lining of Railway Tunnel, Chinese Journal of Rock Mechanics and Engineering, 30, 9, pp. 1761-1771, (2011)
[5]  
YAO Chenghua, Shaolin LU, YANG Tianchun, Application of Ground Penetrating Radar in Train Tunnel-Lining Quality Inspection, West-China Exploration Engineering, 16, 6, pp. 81-83, (2004)
[6]  
ZHANG Huiqian, Application of Geological Radar Attribute Analysis Technology in Tunnel Lining Quality Inspection, Railway Survey and Design, 1, pp. 77-81, (2019)
[7]  
FENG Deshan, CHEN Chengshen, WANG Honghua, Finite Element Method GPR Forward Simulation Based on Mixed Boundary Condition, Chinese Journal of Geophysics, 55, 11, pp. 3774-3785, (2012)
[8]  
LI Jinping, SHAO Piyan, GU Mu, Application and Analysis of GPR in Railway Tunnel Engineering Quality Inspection, China Railway Science, 27, 2, pp. 56-59, (2006)
[9]  
JIANG Bo, CHEN Dongsheng, QI Falin, Application of Geological Radar in HSR Tunnel Inspection, China Railway, 9, pp. 97-100, (2018)
[10]  
WANG Jinbiao, ZHANG Zhiyong, Characteristic Analysis of GPR Image about Typical Structure and Defect of Tunnel Lining, Chinese Journal of Engineering Geophysics, 17, 1, pp. 112-118, (2020)