Asphalt pavement characterization by GPR using an air-coupled antenna array

Liu, Hai; Yang, Zefan; Yue, Yunpeng; Meng, Xu; Liu, Chao; Cui, Jie

doi:10.1016/j.ndteint.2022.102726

Cited by 14 publications

(6 citation statements)

References 41 publications

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“…The parameters of the NFF-GPR model and the NFF antenna array are listed in Table 1. The NFF-GPR model is composed of a NFF array, a 4  impedance matching layer and sand stratum. The coordinate origin is at the center of the NFF array.…”

Section: Model Designmentioning

confidence: 99%

“…For energy focusing detection, Das proposed the concept of GPR using phased array technology in dual static working mode [3]. After that, Liu used one transmitter and five receivers to form a simple phased array, which improved the accuracy of asphalt pavement thickness estimation IOP Publishing doi:10.1088/1742-6596/2651/1/012038 2 [4]. In order to accurately control the time delay, Reilly designed a programmable precise time delay generator to develop an ultra-wideband phased array GPR system with beam control function [5].…”

Section: Introductionmentioning

confidence: 99%

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Near-field Focusing in Ground Penetrating Radar Based on Phase Compensation Algorithm

Zhang,

Guo,

Chen

et al. 2023

J. Phys.: Conf. Ser.

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Underground energy intensity and electromagnetic wave penetration depth are important parameters to characterize the detection performance of Ground Penetrating Radar (GPR). Near-field focusing (NFF) is an effective means to improve the electromagnetic energy fed into the ground by the antennas. In this paper, the phase compensation algorithm considering underground media is derived. In order to verify the effectiveness of the algorithm, the NFF antenna array is proposed. By changing the phase of the NFF array, the focus distance can be adjusted in the range of 400 mm – 800 mm. The maximum field enhancement coefficient in the focal region can achieve 19.2 dB. This shows that NFF array based on phase compensation algorithm has potential application prospects in increasing GPR detection performance.

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Section: Model Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Near-field Focusing in Ground Penetrating Radar Based on Phase Compensation Algorithm

Zhang,

Guo,

Chen

et al. 2023

J. Phys.: Conf. Ser.

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“…The XCMP method could allow traffic-speed and non-contact pavement survey [24]. Inputs such as the geometric information and EM wave TOFs within the asphalt layer are required to implement this method [25], [26].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Asphalt Pavement Layer Thickness Prediction Using Ground-Penetrating Radar Based on a Modified Extended Common Mid-Point (XCMP) Approach

Wang,

Leng,

Sui

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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The conventional surface reflection method has been widely used to measure the asphalt pavement layer dielectric constant using ground-penetrating radar (GPR). This method may be inaccurate for in-service pavement thickness estimation with dielectric constant variation through the depth, which could be addressed using the extended common mid-point method (XCMP) with air-coupled GPR antennas. However, the factors affecting the XCMP method on thickness prediction accuracy haven't been studied. Manual acquisition of key factors is required, which hinders its real-time applications. This study investigates the affecting factors and develops a modified XCMP method to allow automatic thickness prediction of in-service asphalt pavement with non-uniform dielectric properties through depth. A sensitivity analysis was performed, necessitating the accurate estimation of time of flights (TOFs) from antenna pairs. A modified XCMP method based on edge detection was proposed to allow real-time TOFs estimation, then dielectric constant and thickness predictions. Field tests using a multichannel GPR system were performed for validation. Both the surface reflection and XCMP setups were conducted. Results show that the modified XCMP method is recommended with a mean prediction error of 1.86%, which is more accurate than the surface reflection method (5.73%).

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“…In particular, ground-penetrating radar (GPR) B-scan measurements have been extensively used for roadway inspection [3][4][5], using incoherent series of high-resolution vertical radar profiles sampled along scanning paths. Efficient techniques, based on such acquisitions, have been developed for characterizing the structure of complex underground media [6][7][8][9]. Advanced signal processing methods may be used to retrieve high-precision vertical information and estimate structural properties of the observed roadways [10,11].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Imaging Radar Configurations for Roadway Inspection and Characterization

Wu,

Ferro-Famil,

Boutet

et al. 2023

Sensors

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This paper investigates the performance of a wide variety of radar imaging modes, such as nadir-looking B-scan, or side-looking synthetic aperture radar tomographic acquisitions, performed in both back- and forward-scattering geometries, for the inspection and characterization of roadways. Nadir-looking B-scan corresponds to a low-complexity mode exploiting the direct return from the response, whereas side-looking configurations allow the utilization of angular and polarimetric diversity in order to analyze advanced features. The main objective of this paper is to evaluate the ability of each configuration, independently of aspects related to operational implementation, to discriminate and localize shallow underground defects in the wearing course of roadways, and to estimate key geophysical parameters, such as roughness and dielectric permittivity. Campaign measurements are conducted using short-range radar stepped-frequency continuous-waveform (SFCW) devices operated in the C and X bands, at the pavement fatigue carousel of Université Gustave Eiffel, over debonded areas with artificial defects. The results indicate the great potential of the newly proposed forward-scattering tomographic configuration for detecting slight defects and characterizing roadways. Case studies, performed in the presence of narrow horizontal heterogeneities which cannot be detected using classical B-scan, show that both the coherent integration along an aperture using the back-projection algorithm, and the exploitation of scattering mechanisms specific to the forward-looking bistatic geometry, allows anomalous echoes to be detected and further characterized, confirming the efficacy of radar imaging techniques in such applications.

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Asphalt pavement characterization by GPR using an air-coupled antenna array

Cited by 14 publications

References 41 publications

Near-field Focusing in Ground Penetrating Radar Based on Phase Compensation Algorithm

Near-field Focusing in Ground Penetrating Radar Based on Phase Compensation Algorithm

Real-Time Asphalt Pavement Layer Thickness Prediction Using Ground-Penetrating Radar Based on a Modified Extended Common Mid-Point (XCMP) Approach

Comparison of Imaging Radar Configurations for Roadway Inspection and Characterization

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