scholarly journals Reverse-Time Migration Imaging of Ground-Penetrating Radar in NDT of Reinforced Concrete Structures

2021 ◽  
Vol 13 (10) ◽  
pp. 2020
Author(s):  
Ruiqing Shen ◽  
Yonghui Zhao ◽  
Shufan Hu ◽  
Bo Li ◽  
Wenda Bi

The evaluation and inspection of steel bars in reinforced concrete structures are critical for prolonging the service life of buildings. In this regard, ground-penetrating radar (GPR) has been a crucial alternative due to its non-invasiveness and convenience. This paper reports the experimental activities on a test-site area inside a camp in Shanghai, China. To assess the concrete structures of the building, GPR was employed for the detection and localization of rebars in columns, beams, and floors. From the GPR B-scan profiles acquired using a high-frequency antenna, the exact quantity of reinforcements was identified according to the hyperbola responses. Considering the difficulty of inferring the exact position and the scale of the rebars, we applied reverse time migration (RTM) to collapse the hyperbolic response and retrieve the target in a migrated image. To verify the effectiveness of the RTM algorithm, we carried out an experiment on a concrete model with three reinforced bars. We also utilized the RTM algorithm to process the B-scan profiles collected in a column that was later excavated. The imaging results validated the capacity of RTM in localizing and shaping rebars. Then, we employed the RTM algorithm for the GPR B-scan data collected from the other column. Based on the imaging profile, the quantity and positions of the rebars were correctly determined. Moreover, the thickness of the protective layer was evaluated according to the migrated result. These results demonstrate that GPR combined with RTM could provide useful foundation data for structural evaluation.

2020 ◽  
Vol 115 ◽  
pp. 102294 ◽  
Author(s):  
Amir M. Alani ◽  
Iraklis Giannakis ◽  
Lilong Zou ◽  
Livia Lantini ◽  
Fabio Tosti

2021 ◽  
Author(s):  
Hai Liu ◽  
JianYing Lin ◽  
Xu Meng ◽  
Yanliang Du

<p><em>Abstract—</em>Metro traffic in subsurface tunnels is under a rapid development in many cities in the recent decades. However, the voids and other concealed defects inside and/or behind the tunnel lining pose critical threat to the safety of the operating metro tunnels. Ground penetrating radar (GPR) is a non-destructive geophysical technique by transmitting electromagnetic (EM) waves and receiving the reflected signals. GPR has proved its capability in the detection of the existence of tunnel structural defects and anomalies. However, the voids are still hard to be recognized in a GPR image due to the strong scattering clutter caused by the dense steel bars reinforced inside the concrete lining [1]. In this paper, we analyze the propagations of EM waves through reinforce concrete segments of shield tunnels by finite difference time domain (FDTD) simulations and model test.  Firstly, a series of simulations results we have done, indicates that the center frequency of GPR ranges from 400 MHz to 600 MHz has a good penetration through the densely reinforced concrete lining. And the distance between the antennas and the surface of shield tunnel segments should be less than 0.2 m to ensure a good coupling of incident electromagnetic energy into the concrete structure. Then, to image the geometric features of the void behind the segment, reverse-time migration method is applied to the simulated GPR B-scan profile, which presents higher resolution results than the results by using the traditional diffraction stack migration (Figure 1) [2]. Finally, the field experiment results prove that a commercial GPR system operating at a center frequency of 600 MHz do detect a void behind the shield tunnel (Figure 2). The reflection from the void, which starts from the back interface of the segments and lasts over 20 ns, are significantly different from the reflections from the rebars (Figure 3). In summary, GPR has potential in the detection of voids behind the shield tunnel segment. More simulations and field experiments will be performed in the future.</p><p>Keywords—ground penetrating radar (GPR); shield tunnel; voids; reverse time migration (RTM)</p><p>Acknowledgement—this work was supported by Shenzhen Science and Technology program (grant number:KQTD20180412181337494).</p><p><img src="https://contentmanager.copernicus.org/fileStorageProxy.php?f=gnp.5ecbddc6f70069664311161/sdaolpUECMynit/12UGE&app=m&a=0&c=eb6a5ae55b4b24b5585021db0e5ca760&ct=x&pn=gnp.elif&d=1" alt=""></p><p>Fig. 1 Numerical simulation of two segments of 2D shield tunnel. (a) numerical model, (b) simulated GPR B-scan profile, (c) migrated profile by using diffraction stack migration and (d) migrated profile by using reverse-time migration.</p><p><img src="https://contentmanager.copernicus.org/fileStorageProxy.php?f=gnp.659ecbe6f70069964311161/sdaolpUECMynit/12UGE&app=m&a=0&c=07531c033a4f74c3a8e3ac1f5f47316c&ct=x&pn=gnp.elif&d=1" alt=""></p><p>Fig. 2 One photo of the field experiment.</p><p><img src="https://contentmanager.copernicus.org/fileStorageProxy.php?f=gnp.d7c12807f70068274311161/sdaolpUECMynit/12UGE&app=m&a=0&c=dd5c073fd4c06a9fd77db502c1d017f2&ct=x&pn=gnp.elif&d=1" alt=""></p><p>Fig. 3 GPR reflections from a void behind the segment of a subway tunnel</p><p>References</p><p>[1]     H. Liu, H. Lu, J. Lin, F. Han, C. Liu, J. Cui, B. F. Spencer, “Penetration Properties of Ground Penetrating Radar Waves through Rebar Grids” , IEEE Geoscience and Remote Sensing Letters ( <strong>DOI:</strong> 10.1109/LGRS.2020.2995670)</p><p>[2]          H. Liu, Z. Long, F. Han, G. Fang, Q. H. Liu, “Frequency-Domain Reverse-Time Migration of Ground Penetrating Radar Based on Layered Medium Green's Functions”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 08, pp. 2957-2965, 2018.</p><p> </p>


Geophysics ◽  
1992 ◽  
Vol 57 (4) ◽  
pp. 577-586 ◽  
Author(s):  
Elizabeth Fisher ◽  
George A. McMechan ◽  
A. Peter Annan ◽  
Steve W. Cosway

A single‐channel, ground‐penetrating radar (GPR) profile portrays a distorted, unfocused image of subsurface structure due to apparent position shifts associated with dipping reflectors and to diffractions from corners and edges. A focused image may be produced from such data by using any of the migration algorithms previously developed for seismic data; we use reverse‐time migration based on the scalar wave equation. Field work was performed over a simple stratigraphic soil sequence and a complicated fluvial environment. In the migrated images, reflector continuity is enhanced and the level of detail available for high‐resolution interpretation is significantly increased.


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