Abstract
This article introduces a 3D dense point scanning technology and a new standard for evaluating the anti-skid performance of asphalt pavements. This study examines the reasons that lead to errors in the laser device measuring process and provides suggestions for improvement, such as adopting a median filter to process the data. In this study, four types of aggregates (A, B, C and D) under different states of grinding and abrasion have been measured, and their parameters, such as the fractal dimension and peak angle, have been calculated to evaluate the anti-skid performance. This study further measures the surface after different grinding times and calculates parameters such as fractal dimension and average depth. A 3D image is obtained. Pressure-sensitive films are then adopted to measure the pressure distribution on the track board surface under loading on the pavements at different slopes. The results show that asphalt gradation and aggregate characteristics can significantly impact the anti-skid performance of the asphalt pavements; grinding and kneading will lower the indices, including the fractal dimension, average depth, number of peaks and friction coefficient of both the aggregate and track board; asphalt pavements of aggregate A and a design gradation of GAC are adopted.
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