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

被引:52
|
作者
Chen S. [1 ]
Liu X. [1 ]
Luo H. [1 ]
Yu J. [2 ]
Chen F. [2 ]
Zhang Y. [1 ]
Ma T. [1 ]
Huang X. [1 ]
机构
[1] School of Transportation, Southeast University, Nanjing
[2] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou
基金
中国国家自然科学基金;
关键词
Asphalt pavement; Friction; Measurement; Skid resistance; Surface texture;
D O I
10.1016/j.jreng.2022.05.003
中图分类号
学科分类号
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. © 2022 The Authors
引用
收藏
页码:156 / 180
页数:24
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