Rapid Detection Methods for Asphalt Pavement Thicknesses and Defects by a Vehicle-Mounted Ground Penetrating Radar (GPR) System

Autor: Zehua Dong, Shengbo Ye, Yunze Gao, Guangyou Fang, Xiaojuan Zhang, Zhongjun Xue, Tao Zhang
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Sensors, Vol 16, Iss 12, p 2067 (2016)
Druh dokumentu: article
ISSN: 1424-8220
DOI: 10.3390/s16122067
Popis: 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.
Databáze: Directory of Open Access Journals