Journal Published Online: 13 January 2022
Volume 50, Issue 4

Precise Characterization of Macro-texture and Its Correlation with Anti-skidding Performance of Pavement

CODEN: JTEVAB

Abstract

In order to precisely characterize the anti-skidding performance with pavement macro-texture, the three-dimensional (3D) coordinate of pavement surface was obtained by using 3D laser scanning before reconstructing a high-precision digital model of pavement. The dynamic friction tester was employed to measure the anti-skidding performance of pavement. Meanwhile, the correlation between macro-texture and anti-skidding performance was investigated by means of the Pearson correlation coefficient method. Firstly, six road sections with different grades and mixture types were selected for testing dynamic friction coefficient and drilling core samples. Secondly, the core samples were scanned by the 3D laser scanning system, and the 3D model of pavement surface was reconstructed. Then, the macro-texture indexes were calculated, and the coefficient of variation method was used to judge the credibility of the test results of different texture indicators. Finally, the correlation between the macro-texture and the anti-skidding performance of pavement was analyzed. Demonstrated by the test results, the skid resistance of ultra-thin wearing course appears to be superior to that of asphalt concrete. Increasing the coarse aggregate content and using high-quality asphalt are effective ways to improve the pavement anti-skidding performance. Macro-texture indexes including arithmetic mean value (Ra), standard deviation (Rq), and range (Rz) show relatively small variation under the same test condition. Having strong correlation with each other, these three indexes belong to the same type. In the meantime, they can also differentiate among different mixture types and service time. Their decent correlation with pavement skid resistance keeps stable with service time, indicating that they can be used to characterize anti-skidding performance of pavement.

Author Information

Ji, Jie
School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, P. R. China Collaborative Innovation Center of Energy Conservation & Emission Reduction and Sustainable Urban-Rural Development in Beijing, Beijing, P. R. China
Jiang, Tianhao
Collaborative Innovation Center of Energy Conservation & Emission Reduction and Sustainable Urban-Rural Development in Beijing, Beijing, P. R. China School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, P. R. China
Ren, Wanyan
Collaborative Innovation Center of Energy Conservation & Emission Reduction and Sustainable Urban-Rural Development in Beijing, Beijing, P. R. China Beijing Key Laboratory of Green Building and Energy-Efficiency Technology, Beijing, P. R. China
Dong, Yuanshuai
China Highway Engineering Consulting Corporation Highway Maintenance and Test Technology Co. Ltd., Beijing, P. R. China
Hou, Yun
China Highway Engineering Consulting Corporation Highway Maintenance and Test Technology Co. Ltd., Beijing, P. R. China
Li, Haimeng
School of Humanities, Beijing University of Civil Engineering and Architecture, Beijing, P. R. China
Pages: 13
Price: $25.00
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Details
Stock #: JTE20210520
ISSN: 0090-3973
DOI: 10.1520/JTE20210520