Simulation Test of Equipment of Non-contact Detection with GPR

被引:0
作者
Yang, Yanqing [1 ]
He, Shaohui [1 ]
Jiang, Bo [2 ]
Qi, Falin [1 ,2 ]
机构
[1] Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
[2] China Acad Railway Sci, Inst Infrastruct Testing, Beijing 100081, Peoples R China
来源
EQUIPMENT MANUFACTURING TECHNOLOGY AND AUTOMATION, PTS 1-3 | 2011年 / 317-319卷
关键词
Equipment Manufacturing; GPR; Non-contact Detection; Simulation Test; Tunnelling Engineering; Railway;
D O I
10.4028/www.scientific.net/AMR.317-319.2416
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The composite lining model of railway tunnel is set up and then simulation test is presented by non-contact detection with the simple detection equipment of ground penetrating radar (GPR) to study the main technique parameters of the equipment. The results show that the lining can be detected by the way, and the quality of GPR scan obtained in the simulation test decreases with the detection distance increasing. In the GPR scan obtained when keeping ground-coupled shielding antenna of 400MHz 20cm away from the ground(the distant from the bottom of GPR antenna to the surface of lining specimen), a variety of work conditions that has been preset in the experimental design can be identified, moreover, the location and range of both uncompacted backfill and cavity behind the lining etc. approach those that can be get when the antenna sticking to the lining, thus providing satisfactory qualitative interpretation of GPR scan. In addition, the deviation range of GPR non-contact detection is close to that when the antenna sticking to the lining, thus ensuring the detection value accuracy of lining thickness.
引用
收藏
页码:2416 / +
页数:2
相关论文
共 50 条
  • [31] Review of reliability simulation test technology for shipborne electromechanical equipment
    Zhang W.
    Liu L.
    Wen H.
    Zhang Y.
    Liu Z.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 40 (17): : 167 - 174
  • [32] A non-contact method for estimating the pre-tension of a rectangular membrane structure
    Li, Dong
    Lai, Zhi-Chao
    Wang, Ying
    Zheng, Zhou-Lian
    INSIGHT, 2020, 62 (08) : 464 - 470
  • [33] Research of Non-contact Measurement Method for Outline Dimensions of Some Special Workpiece
    Feng, Qiaoling
    Guo, Yongcai
    OPTICAL METROLOGY AND INSPECTION FOR INDUSTRIAL APPLICATIONS IV, 2016, 10023
  • [34] Non-contact yarn tension measurement based on singular value decomposition algorithm
    Jiang, Jing
    Peng, Laihu
    Shi, Weimin
    Yuan, Haowei
    Fangzhi Xuebao/Journal of Textile Research, 2024, 45 (09): : 204 - 211
  • [35] Non-contact optical sensor to detect free flying droplets in the nanolitre range
    Troendle, J.
    Ernst, A.
    Streule, W.
    Zengerle, R.
    Koltay, P.
    SENSORS AND ACTUATORS A-PHYSICAL, 2010, 158 (02) : 254 - 262
  • [36] Non-Contact, Sub-Surface Detection of Alloy Segregation in Back-End of Line Copper Dual-Damascene Structures
    Nag, Joyeeta
    Ray, Shishir
    Kohli, Kriteshwar K.
    Simon, Andrew H.
    Cohen, Brian A.
    Tijiwa-Birk, Felipe
    Parks, Christopher J.
    Krishnan, Siddarth A.
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 2015, 28 (04) : 469 - 473
  • [37] Study on Non-Contact Detection of Surface Cracks of the Metals Using an Open-Ended Coaxial Line Sensor at X-band
    Yang, Seung Hwan
    Kim, Dong-Seok
    Kim, Ki-Bok
    Kim, Jong-Heon
    Kang, Jin-Seob
    JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, 2012, 32 (02) : 192 - 197
  • [38] Non-contact detection of degradation of in-service steel sheet piles due to buckling phenomena by using digital image analysis with Hough transform
    Hagiwara, Taiki
    Shimamoto, Yuma
    Suzuki, Tetsuya
    FRONTIERS IN BUILT ENVIRONMENT, 2022, 8
  • [39] Non-contact detection of single-cell lead-acid battery electrodes' defects through conductivity reconstruction by magnetic induction tomography
    Tang, Shujian
    Zhang, Guogang
    Ge, Lijia
    Song, Zhengxiang
    Geng, Yingsan
    Wang, Jianhua
    INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2021, 29 (13) : 2470 - 2490
  • [40] Non-Contact Detection of Surface Quality of Knot Defects on Eucalypt Veneers by Near Infrared Spectroscopy Coupled with Soft Independent Modeling of Class Analogy
    Yang, Zhong
    Zhang, Maomao
    Chen, Ling
    Lv, Bin
    BIORESOURCES, 2015, 10 (02): : 3314 - 3325