Relating concrete pavement noise and friction to three-dimensional texture parameters

被引:22
|
作者
Liu, Qingfan [1 ]
Shalaby, Ahmed [1 ]
机构
[1] Univ Manitoba, Dept Civil Engn, Winnipeg, MB, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Portland cement concrete pavement; areal surface texture; noise and friction; three-dimensional texture parameters; texture measurement;
D O I
10.1080/10298436.2015.1095897
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The objectives of this research were to characterise concrete pavement surface texture using three-dimensional (3D) surface texture indicators, to explore the relationship between pavement noise/friction and texture parameters. A newly constructed Portland cement concrete pavement with 13 types of textures was selected as test site. Pavement texture heights were recovered using photometric stereo technique. A comparative study was conducted between proposed 3D texture parameters and other established two-dimensional texture measurements, i.e. the circular track meter and the high-speed texture profiler. Correlation analysis between 3D texture parameters and noise/friction data were also carried out to explore relationship between pavement texture and noise/friction. In addition to texture amplitude, the direction and distribution of pavement texture have strong impacts on pavement noise and friction. It is possible to have a better understanding of surface texture and pavement noise/friction using combinations of the proposed 3D texture parameters.
引用
收藏
页码:450 / 458
页数:9
相关论文
共 50 条
  • [21] Evaluation of Aggregate Distribution Homogeneity for Asphalt Pavement Based on the Fractal Characteristic of Three-Dimensional Texture
    Zhang, Ke
    Wei, Guangliang
    Luo, Yaofei
    Zhao, Yulong
    Zhao, Yu
    Zhang, Junting
    INTERNATIONAL JOURNAL OF PAVEMENT RESEARCH AND TECHNOLOGY, 2024, 17 (03) : 577 - 594
  • [22] Pavement Friction Prediction Using 3D Texture Parameters
    Kovac, Matus
    Brna, Matej
    Decky, Martin
    COATINGS, 2021, 11 (10)
  • [23] Three-dimensional texture measurement using deep learning and multi-view pavement images
    Liu, Cunqiang
    Li, Juan
    Gao, Jie
    Yuan, Dongdong
    Gao, Ziqiang
    Chen, Zhongjie
    MEASUREMENT, 2021, 172
  • [24] Automatic extraction and evaluation of pavement three-dimensional surface texture using laser scanning technology
    Wang, Yuchen
    Yu, Bin
    Zhang, Xiaoyu
    Liang, Jia
    AUTOMATION IN CONSTRUCTION, 2022, 141
  • [25] Acquisition system for three-dimensional surface texture of asphalt pavement based on digital image processing
    Liu, Yamin
    Han, Sen
    Xu, Ouming
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2014, 49 (02): : 351 - 357
  • [26] THREE-DIMENSIONAL MULTISCALE TEXTURE SYNTHESIS
    Dong, Junyu
    Wang, Yuliang
    Song, Yan
    Cheng, Guanglin
    2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010), 2010, : 483 - 487
  • [27] Noise in three-dimensional nanowires
    Scherbakov, AG
    Bogachek, EN
    Landman, U
    PHYSICAL REVIEW B, 1998, 57 (11): : 6654 - 6661
  • [28] A novel pavement mean texture depth evaluation strategy based on three-dimensional pavement data filtered by a new filtering approach
    Liang, Jia
    Gu, Xingyu
    Chen, Yizheng
    Ni, Fujian
    Zhang, Tianjie
    MEASUREMENT, 2020, 166 (166)
  • [29] Three-dimensional finite element analysis on the layer steel fiber reinforced concrete pavement: A new type of pavement material
    Lu, ZA
    Chen, YB
    Zhang, QL
    JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY-MATERIALS SCIENCE EDITION, 2001, 16 (01): : 46 - 50
  • [30] Creating and relating three-dimensional integrable maps
    Roberts, John A. G.
    Quispel, G. R. W.
    JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2006, 39 (42): : L605 - L615