Long-term skid resistance and prediction model of asphalt pavement by accelerated pavement testing. (24th April 2023)

• Record Type: Journal Article
• Authors: Zhu, Shiyu; Ji, Xiaoping; Yuan, Huazhi; Li, Hangle; Xu, Xinquan
• Is Part Of: Construction & building materials. Volume 375(2023)
• Publication Date: 2023-04-24
• Subjects: Asphalt mixture -- Skid resistance -- Degradation characteristics -- Prediction model -- Design standard; Building materials -- Periodicals; 624.18
• DOI: 10.1016/j.conbuildmat.2023.131004
• Languages: English
• ISSNs: 0950-0618

Abstract

Highlights: The optimal design for the skid resistance was achieved based on the MLS11. The prediction models for the macro and micro - structure were constructed. The error between the prediction models and the measured values were within 5%. The attenuation rate |A|≤2.15 was used as design standard for the skid resistance. Abstract: To achieve the optimal design and accurate prediction for the long-term skid resistance performance of asphalt pavement, the skid resistance and its evolution trend prediction models of different asphalt mixtures were studied based on the accelerated pavement test using a small accelerated loading device (MLS11). First, three oil-stone ratios, three gradations and four types of coarse aggregates were prepared for different types of asphalt mixes. Second, the long-term skid resistance degradation characteristics and its influencing factors of different asphalt mixtures were studied based on the indoor accelerated pavement test using MLS11. Next, the macro-structure and micro-structure for the evolution prediction models of asphalt pavement were constructed and validated based on the combination of the numerical model and test section. Finally, the design standard and evaluation indexes for skid resistance of high-grade asphalt pavements under heavy traffic conditions were proposed. The results show that dense graded asphalt mixes with a smaller oil-stone ratio have better skid resistance, the type of gradation has less influence on its skid resistance, and the mixture consisting of aggregates with a richer mineral composition type and large difference in mineral hardness has better durability of skid resistance. In addition, the prediction models for the macro-structure and the micro-structure were established, respectively, and the errors of MTD and BPN measured in the test section were controlled within 4% and 5% of the theoretical values. The attenuation rate |A|≤2.15 is proposed as the design criterion for the skid resistance of asphalt pavements.