A state-of-the-art review of asphalt pavement surface texture and its measurement techniques

被引:82
作者
Chen, Siyu [1 ]
Liu, Xiyin [1 ]
Luo, Haoyuan [1 ]
Yu, Jiangmiao [2 ]
Chen, Fuda [2 ]
Zhang, Yang [1 ]
Ma, Tao [1 ]
Huang, Xiaoming [1 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing 211189, Peoples R China
[2] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Peoples R China
基金
中国国家自然科学基金;
关键词
Asphalt pavement; Surface texture; Measurement; Skid resistance; Friction; DEFECT DETECTION; RUBBER-FRICTION; ROUGHNESS; CONTACT; MACROTEXTURE; TOPOGRAPHY;
D O I
10.1016/j.jreng.2022.05.003
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
To understand the research status of asphalt pavement texture, the related achievements and progress of pavement surface texture were systematically sorted out from three aspects: the characterization of pavement surface texture, the texture measurement and evaluation, and the relationship between texture and the skid resistance. Based on the statistical geometric characteristics, the spectral characteristics, the fractal characteristics and the multifractal characteristics, the characteristics of pavement texture were discussed. The test methods of pavement texture were divided into two categories: direct measurement methods and indirect measurement methods. The advantages and disadvantages of each measurement method were summarized. The effects of macro-texture and micro-texture on asphalt pavement were discussed, respectively. The relationship between texture and skid resistance was studied. This review shows that multifractal theory should be further studied from the aspect of road engineering. High-precision non-contact integrated detection technology should be further studied to meet the needs of complex testing environments. The method of finite element numerical simulation has potential for the analysis of pavement skid resistance. In addition, methods such as big data analysis, neural network, and deep learning should be studied to achieve the intelligent perception and management of the whole state of skid resistance prediction.
引用
收藏
页码:156 / 180
页数:25
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