Detection of model voids by identifying reverberation phenomena in GPR records

被引:56
|
作者
Kofman, Lev
Ronen, Amit
Frydman, Sam
机构
[1] Geotec Engn & Environm Geophys Ltd, IL-75720 Rishon Leziyyon, Israel
[2] Technion Israel Inst Technol, IL-32000 Haifa, Israel
关键词
GPR; model voids; reverberation phenomenon; test site experiment; karst cavities; waveguide resonators;
D O I
10.1016/j.jappgeo.2005.09.005
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In order to improve the reliability of the ground penetrating radar (GPR) method in identifying subsurface sinkholes and karst cavities, laboratory investigations have been performed. The main objective of this work was to examine the relationship between horizontal/vertical voids dimensions and wavelengths of various antennas, and the corresponding GPR responses. Emphasis was given to the investigation of the factors that cause the appearance of reverberation phenomena in the signal pattern. The tests were conducted in 5 m x 10 m area by 2-m-deep trench filled with homogenous, dry sand. The voids models (empty fiberglass cylinders in diameters of 0.6 m, 1.0 m, 1.5 m and 2.4 m, with various heights) were buried vertically with their tops at depths of between 0.7 and 1.5 m. Investigations were performed for the various model conditions by towing 300 and 100 MHz antennas along a pre-established grid, for the various model conditions. The GPR data collected using the 500 MHz bistatic antenna above the 1.0-m- and the 1.5-m-diameter cylinders, and using the 300 MHz bistatic antenna above the 1.5-m-diameter cylinder, confirmed the presence of a reverberation phenomenon, i.e. a strong convex signal pattern, containing a series of high amplitude extending oscillations with reduced frequency. Based on past practical GPR experience of void detection and presently obtained experimental data, two rules of thumbs may be adopted for the prediction of the appearance of resonant radar pictures: 1. The void diameter larger than the wavelength in air of the antenna used. 2. The vertical size of the empty void not significantly smaller than its horizontal dimension. The strong reverberations generated by the inner surface of the void targets were found to approximate standing waves generated in cylindrical waveguides and waveguide resonators. The theoretical, experimental and practical results obtained concur. (C) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:284 / 299
页数:16
相关论文
共 50 条
  • [1] Tunnel lining thickness and voids detection by GPR
    Xisheng, Deng
    Tian, Du
    Quan, Yuan
    Xin, Zhong
    Electronic Journal of Geotechnical Engineering, 2015, 20 (07): : 2019 - 2030
  • [2] GPR Detection of Subsurface Voids and Its Validation Based on Similarity Principle
    Liu, L. B.
    Qian, R. Y.
    Li, J.
    Sun, M. G.
    Ge, S. C.
    PROCEEDINGS OF 2016 16TH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR (GPR), 2016,
  • [3] GPR detection of voids in post-tensioned concrete bridge beams
    Giannopoulos, A
    Macintyre, P
    Rodgers, S
    Forde, MC
    GPR 2002: NINTH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR, 2002, 4758 : 376 - 381
  • [4] Experimental Study on GPR Detection of Voids inside and behind Tunnel Linings
    Qin, Hui
    Xie, Xiongyao
    Tang, Yu
    Wang, Zhengzheng
    JOURNAL OF ENVIRONMENTAL AND ENGINEERING GEOPHYSICS, 2020, 25 (01) : 65 - 74
  • [5] GPR detection of several common subsurface voids inside dikes and dams
    Xu, Xingxin
    Zeng, Qiaosong
    Li, Dong
    Wu, Jin
    Wu, Xiangan
    Shen, Jinyin
    ENGINEERING GEOLOGY, 2010, 111 (1-4) : 31 - 42
  • [6] More informative interpretation of GPR records by theoretical speculation based on dielectric phenomena
    Inagaki, M
    GPR 2000: PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR, 2000, 4084 : 200 - 205
  • [7] Evaluation of steel mesh impact on GPR detection of voids behind lining in railway tunnels
    Zeng, Huike
    Wang, Jing
    Wang, Jun-fang
    Du, Yanliang
    Li, Feng
    CONSTRUCTION AND BUILDING MATERIALS, 2025, 466
  • [8] A Space-Time Reverberation Model for Moving Target Detection
    Yin, Jingwei
    Liu, Bing
    Zhu, Guangping
    Han, Xiao
    JOURNAL OF MARINE SCIENCE AND APPLICATION, 2019, 18 (04) : 522 - 529
  • [9] A Space-Time Reverberation Model for Moving Target Detection
    Jingwei Yin
    Bing Liu
    Guangping Zhu
    Xiao Han
    Journal of Marine Science and Application, 2019, 18 : 522 - 529
  • [10] A Machine Learning Model for the Detection of Solder Voids with Adjacent Sensors
    Jahn, Nils
    Sina, Patrick
    Pfost, Martin
    2023 29TH INTERNATIONAL WORKSHOP ON THERMAL INVESTIGATIONS OF ICS AND SYSTEMS, THERMINIC, 2023,