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Title: Forward modelling on GPR responses of subsurface air voids
Authors: Luo, TXH 
Lai, WWL 
Giannopoulos, A
Issue Date: Sep-2020
Source: Tunnelling and underground space technology, Sept. 2020, v. 103, 103521
Abstract: Along with the development of urbanization, an increasing number of subsurface voids in urban cities can have serious effects on the expected functionality of key infrastructure elements such are roads. Ground penetrating radar is an effective technique for imaging the subsurface and detecting such air voids. The GPR responses of air voids with different horizontal width were quantitively investigated in this study using forward modelling: empirical experiments in both laboratory and site; as well as numerical simulations with FDTD. Two typical road constructions were modelled: reinforced concrete pavements and bituminous pavements, where the majority of underground utility networks are buried underneath. Pulse GPR signals having two centre frequencies: 600 MHz and 200 MHz were simulated. It was observed that the ratio of void size and GPR signal wavelength would result in various patterns in the GPR B-scans: they can be a hyperbola, a cross pattern, a bowl shape pattern, and a plain reverberation pattern. And GPR responses of voids under road structures were distorted by reinforcement. With signatures of air voids appeared in GPR B-scans through validation by lab experiments and ground truthing, confidence of void identification will be enhanced.
Keywords: FDTD simulation
Forward modelling
Ground penetrating radar
Subsurface air void
Publisher: Pergamon Press
Journal: Tunnelling and underground space technology 
ISSN: 0886-7798
DOI: 10.1016/j.tust.2020.103521
Rights: © 2020 Elsevier Ltd. All rights reserved.
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Luo, T. X. H., Lai, W. W. L., & Giannopoulos, A. (2020). Forward modelling on GPR responses of subsurface air voids. Tunnelling and Underground Space Technology, 103, 103521 is available at https://doi.org/10.1016/j.tust.2020.103521.
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