Experimental and Numerical Research on Voids and Cracks with Geological Radar Method

Abstract:

In order to acquaint the application of geological penetrating radar (GPR) in tunnel lining detection elaborately, the tunnel lining model involving diseases (voids, voids filled with water, zone filled with materials and cracks) has been researched with GPR (equipped with a 800MHz antenna). And on the basis of the finite difference time domain method (FDTD), the 2-D simulation model of tunnel lining with different diseases was established with the software GPRMAX2D for further research in 800MHz and 1400MHz antennae. Comparing the GPR images of the test model and the 2-D numerical model with the actual layout settings in the tunnel lining, the following results can be obtained obviously. GPR is impressible to steel, while the lower rebar is difficult to identify for the double-layer rebar; GPR equipped with a 800MHz antenna is appropriate to monitor the void, while the accuracy of the geological radar method is related to the shape, size, depth and water condition of the voids; the accuracy of GPR is almost 50mm for the 800MHz antenna , while it is 20mm for the 1400MHz antenna and cracks can’t be identify with the 800MHz.

• Periodical: Applied Mechanics and Materials (Volume 711)
• Pages: 376-383
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.711.376
• Online since: December 2014
• Authors: Chang Zhou, Guo Qing Liang, Hong Mei Li*
• Keywords: 2-D Numerical Simulation, Diseases, GPR, Model Test, Tunnel Lining

References

[1] Jianxin Liu, M. Jol. Harry. Ground penetrating radar (GPR) theory and application [M], Electronic Industry Press, (2011).

[2] A.F. Siggins, R.J. Whitely. A Laboratory Simulation of High Frequency GPR Responses of Damaged Tunnel Liners [J]. The International Society for Optical Engineering. 2010. 40 (11): 805-811.

[3] S.K. Park, T. Uomoto. Radar image processing for detection of shape of voids and location of reinforcing bars in or under reinforced concrete [J]. Non-Destructive Testing and Condition Monitoring. 1997, 39(7): 488-492.

[4] M. Scott, A. Rezai-zadeh, M. Moore. Ground Penetrating Radar Technology for Detection and Identification of Common Bridge Deck Features[R]. Wiss, Janney, Elstner and Associates, Inc. 2001, 4.

[5] Yang Y Q, He S H, Qi F L, et al. Simulation tests on GPR detection of composite linings of railway tunnels [J]. Chinese Journal of Geotechnical Engineering (in Chinese), 2012, 34 (6): 1160- 1165.

[6] Debiao Ge. Electromagnetic finite difference time domain method [M], Xian University of Electronic Science and Technology Press, (2002).

[7] J. P. Berenger. Perfectly matched layer for the FDTD solution of wave-structure interaction problem[J]. Antennas Propagation, IEEE Translations on . 1996. 44(1): 110-117.

DOI: 10.1109/8.477535

[8] Holliger K, Bergmann T. Accurate and efficient FDTD modeling of Ground_penetrating Radar antenna radiation[J]. Geophysical Research Letters, 1998, 25(20): 3883~3996.

DOI: 10.1029/1998gl900049

[9] Liu S X, Zeng Z F, Xu B. Realization of Absorbing Boundary Condition with Lossy Media for Ground Penetrating Radar Simulation [J]. (in Chinese) Journal of Jilin University(Earth Science Edition) 2005, 35 (3): 378~381.

[10] Liu S X, Zeng Z F. Numerical simulation for Ground Penetrating Radarwave propagation in the dispersive medium. Chinese J. Geophys [J]. Chinese Journal of Geophysics (in Chinese), 2007, 50 (1): 320~326.

DOI: 10.1002/cjg2.1036

[11] Dai Q W, Feng D S, Wang Q L, e. g. The apply of finite difference time domain method in the Ground Penetrating Radar (GPR) two dimension forward simulate[J]. Progress in Geophysics. (in Chinese), 2004, 19(4): 898~902.

[12] Sun Z H, Liu J K, Zhang X P, e. g. The Tunnel Lining Detection Forward Numerical Simulation and Measured Data Analysis Based on GprMax[J]. Chinese Journal of Engineering Geophysics. (in Chinese), 2013, 10(5): 730-735.