Automatic quantitative recognition method for vertical concealed cracks in asphalt pavement based on feature pixel points and 3D reconstructions

Zhang, Bei; Cheng, Haoyuan; Zhong, Yanhui; Tao, Xiaofeng; Li, Guanghui; Xu, Shengjie

doi:10.1016/j.measurement.2023.113296

Cited by 7 publications

(2 citation statements)

References 43 publications

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“…Analyzing radar waveform characteristics under varying filler compositions, while considering the low interference and non-uniformity of asphalt mixtures in the context of electromagnetic wave propagation, offers valuable insights for radar waveform recognition in complex environments. We employed the gprMax [36][37][38][39][40][41] software to construct a forward modeling model for asphalt road surfaces, with the key parameters listed in table 1.…”

Section: Modeling Forward Simulationmentioning

confidence: 99%

“…Consequently, a comprehensive assessment of the interlayer bonding condition within the road surface cross-section necessitates a quantitative analysis considering the radar wave proportions at distinct locations. This analytical approach enables a more accurate and thorough evaluation, accounting for the spatial distribution of poor interlayer bonding conditions in asphalt pavement [36,43].…”

Section: Image Processing To Evaluate the Bonding Status Between Asph...mentioning

confidence: 99%

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Three-dimensional orthorectified simulation and ground penetrating radar detection of interlayer bonding condition in asphalt pavements

Yang,

Yao

et al. 2024

Meas. Sci. Technol.

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To evaluate the applicability of three-dimensional ground-penetrating radar (GPR) in assessing interlayer bonding within asphalt pavements featuring semi-rigid base layers, we conducted an analysis of the GPR detection mechanism. Employing forward simulation, various medium models were created to analyze electromagnetic wave transmission in air, water, and sand. GPR testing was applied to four distinct pavement structures, utilizing amplitude intensity levels and image processing techniques to assess asphalt pavement interlayer bonding. The results were validated by comparing them with core samples. The findings revealed a significant influence of medium uniformity on electromagnetic wave transmission processes. Non-uniform media models generate a large number of clutter waves, which refers to amplitudes and phases that have no predictable regularity in time and space i.e., they show irregular ups and downs and fluctuations. It is similar to the clutter that occurs during actual detection. Poorly bonded areas exhibited clearer hyperbolic ripples, primarily attributed to significant differences in the dielectric constants of filling materials. Amplitude strength effectively evaluated bonding across different asphalt pavement configurations and lanes, typically following a normal distribution. Enhanced interlayer contact correlated with smaller amplitudes, while weaker bonding led to larger amplitudes. The amplitude distribution in the center of lanes differed significantly from wheel track areas, indicating better interlayer bonding conditions in the center lanes compared to the wheel track belt. Moreover, radar plan views demonstrated considerable variation across different interlayer contact conditions. The image processing method proved effective in evaluating the interlayer contact condition of various pavement structures across full cross-sections.

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Section: Modeling Forward Simulationmentioning

confidence: 99%

Section: Image Processing To Evaluate the Bonding Status Between Asph...mentioning

confidence: 99%

Three-dimensional orthorectified simulation and ground penetrating radar detection of interlayer bonding condition in asphalt pavements

Yang,

Yao

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

RETRACTED: Theoretical development and validation of asphalt concrete density measurement using non-contact interdigital coplanar capacitive sensor

Yao,

Chen,

Dong

et al. 2025

Measurement

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A state-of-the-art review on graph characterization and automated detection of road underground targets using ground-penetrating radar

Liu,

Yang,

Yan

et al. 2025

Measurement

View full text Add to dashboard Cite

Automatic quantitative recognition method for vertical concealed cracks in asphalt pavement based on feature pixel points and 3D reconstructions

Cited by 7 publications

References 43 publications

Three-dimensional orthorectified simulation and ground penetrating radar detection of interlayer bonding condition in asphalt pavements

Three-dimensional orthorectified simulation and ground penetrating radar detection of interlayer bonding condition in asphalt pavements

RETRACTED: Theoretical development and validation of asphalt concrete density measurement using non-contact interdigital coplanar capacitive sensor

A state-of-the-art review on graph characterization and automated detection of road underground targets using ground-penetrating radar

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