Abstract
The thickness estimation of the top surface layer and surface layer, as well as the detection of road defects, are of great importance to the quality conditions of asphalt pavement. Although ground penetrating radar (GPR) methods have been widely used in non-destructive detection of pavements, the thickness estimation of the thin top surface layer is still a difficult problem due to the limitations of GPR resolution and the similar permittivity of asphalt sub-layers. Besides, the detection of some road defects, including inadequate compaction and delamination at interfaces, require further practical study. In this paper, a newly-developed vehicle-mounted GPR detection system is introduced. We used a horizontal high-pass filter and a modified layer localization method to extract the underground layers. Besides, according to lab experiments and simulation analysis, we proposed theoretical methods for detecting the degree of compaction and delamination at the interface, respectively. Moreover, a field test was carried out and the estimated results showed a satisfactory accuracy of the system and methods.
Highlights
The surface layer of asphalt pavement is a multilayer structure
Based on the vehicle-mounted ground penetrating radar (GPR) detection system, we could estimate the thicknesses of Basedlayer on the vehicle-mounted detection system, we thicknesses top top surface and surface layer of asphalt pavements, andcould estimate detectedthe some possibleofdefects surface layer and surface layer of asphalt pavements, and detected some possible defects (i.e., using the signal processing methods and the defects detection uncompaction and delamination) using processing methods and the defects methods we presented
We concentrated on the thickness estimation and defects detection of asphalt pavements
Summary
The surface layer of asphalt pavement is a multilayer structure. The thicknesses of the surface layer and the top surface layer have great importance on quality condition and maintenance of asphalt pavements [1]. It is of great importance to detect the thicknesses and defects of asphalt pavements rapidly and accurately [2]. The thickness and defect of asphalt pavement in the field are assessed by direct destructive methods, including digging test-pits or by extracting cores. These kinds of methods have inherent drawbacks, such as being intrusive, time-consuming and discontinuous [3]
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