Development of regularization methods on simulated ground-penetrating radar signals to predict thin asphalt overlay thickness

Zhao, Shan; Al‐Qadi, Imad L.

doi:10.1016/j.sigpro.2016.06.015

Cited by 43 publications

(19 citation statements)

References 27 publications

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“…The thickness of an AC overlay is usually less than 37.5 mm (1.5 in. ), and the surface and bottom reflection amplitudes of GPR signals overlap with each other owing to the limited axial resolution, as shown in Researchers have established various methods to reconstruct overlapped reflections in GPR signal processing, including the multi-channel resolution enhancement (25) and the regularized deconvolution algorithm (26,27). However, these methods are computationally expensive as they require significant resources for signal processing.…”

Section: Overlapped Reflection Problemmentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Monitoring of Asphalt Concrete Pavement Density during Construction using Ground Penetrating Radar: Theory to Practice

Wang

Zhao

Al‐Qadi

2019

Transportation Research Record: Journal of the Transportation R

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Accurate real-time density monitoring is crucial in quality control and quality assurance during the asphalt concrete (AC) pavement construction process. Ground penetrating radar (GPR) technology has shown great potential in the continuous real-time density prediction of AC pavement. However, it is not accepted as a routine method by transportation agencies in the United States due to the lack of validation under field testing conditions. In this study, three field tests were performed using GPR to estimate AC pavement density. The Al-Qadi-Lahouar-Leng model was used to predict the density from GPR signals. The reference scan method was used to remove the effect of surface moisture during construction. The gradient descent-based non-linear optimization method was used to reconstruct the overlapped GPR signals result from the use of thin AC overlay, which has been widely implemented as an AC pavement rehabilitation technique. Digital filtering and other signal processing methods were used to de-noise the signal. GPR results using the proposed methods were compared with field core data and nuclear gauge results. The results show that the proposed methods were effective in estimating in-situ AC pavement density using GPR. Continuous density estimation by installing GPR on the roller is suggested to provide real-time compaction monitoring during the AC pavement construction process.

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Section: Overlapped Reflection Problemmentioning

confidence: 99%

“…First, AC density estimation theories and the proposed methods for density monitoring were introduced. Then three field tests were conducted and the effect of the aforementioned challenges were addressed using the proposed methods (20,(23)(24)(25)(26). The first continuous test was used to validate the AC density prediction model.…”

mentioning

confidence: 99%

Real-Time Monitoring of Asphalt Concrete Pavement Density during Construction using Ground Penetrating Radar: Theory to Practice

Wang

Zhao

Al‐Qadi

2019

Transportation Research Record: Journal of the Transportation R

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“…In geotechnical GPR data it may distinguish reflections from small and large fractures, discriminate between groups of fractures, resolve fracture density and aid the assessment of damage in rocks and structures. [6] exploit both synthetic and real GPR data in order to apply several types of regularized deconvolution methods (i.e., zeroth-, first-, and second-order Tikhonov; and total variation regularization) for the separation of thin asphalt layers' boundaries reflections. By demonstrating that the "L-curve" criterion can be applied to both zeroth-order Tikhonov and total variation regularization methods in order to find the appropriate regularization parameter, they conclude that these two methods can effectively increase the GPR signal range resolution even when the second pulse from asphalt pavement overlay is small.…”

Section: Gpr Data Directional Filtering X Wang and S Liu In [4] Dismentioning

confidence: 99%

Advanced Ground Penetrating Radar Signal Processing Techniques

et al. 2017

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“…Apart from the thin layer problem, another factor limiting the accuracy of the thickness estimation is the permittivity of the pavement materials [28]. In asphalt pavements, the materials in the sub-layers are similar that there is no significant permittivity difference between adjacent asphalt layers [29], [30]. Therefore, the backscattered echoes at the interfaces of sub-layers have much smaller amplitude than that of the surface layers, which can be called weak signal.…”

Section: Introductionmentioning

confidence: 99%

Time-Delay Estimation by Enhanced Orthogonal Matching Pursuit Method for Thin Asphalt Pavement With Similar Permittivity

Sun

Pan

Wang

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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Time-delay estimation (TDE) for thin top layers of asphalt pavement is a challenging task due to the limited resolution of ground penetrating radar (GPR) as well as small permittivity difference between top layers. Echoes backscattered from the interfaces of top layers with similar permittivity have usually much smaller amplitudes compared with other echoes, which can be called weak signals. The weak backscattered echoes are usually too sensitive to the noise and other strong echoes that current signal processing approaches (subspace-based methods and compressed sensing based methods) might have false estimation results even failures without proper processing of them. Therefore, in this paper, an enhanced orthogonal matching pursuit (OMP) method is proposed to deal with weak signals resulting from similar permittivity of adjacent asphalt layers. Based on the orthogonality between signal and noise subspaces, we firstly apply the truncated singular value decomposition (SVD) on the received signals, in order to reduce the noise impact. Secondly, we build an orthogonal matrix to the mode matrix of the pre-estimated strong backscattered echoes, and map it to the overcomplete dictionary matrix, such that the influence of the residual of the strong backscattered echoes can be reduced. Finally, the time-delays of backscattered echoes and layer thicknesses are estimated. Compared with conventional approaches, the proposed method is more suitable for TDE in thin asphalt pavement detection. The accuracy of the proposed method is validated by both numerical and experimental data.

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Development of regularization methods on simulated ground-penetrating radar signals to predict thin asphalt overlay thickness

Cited by 43 publications

References 27 publications

Real-Time Monitoring of Asphalt Concrete Pavement Density during Construction using Ground Penetrating Radar: Theory to Practice

Real-Time Monitoring of Asphalt Concrete Pavement Density during Construction using Ground Penetrating Radar: Theory to Practice

Advanced Ground Penetrating Radar Signal Processing Techniques

Time-Delay Estimation by Enhanced Orthogonal Matching Pursuit Method for Thin Asphalt Pavement With Similar Permittivity

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