期刊
CONSTRUCTION AND BUILDING MATERIALS
卷 166, 期 -, 页码 227-240出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2018.01.102
关键词
Areal texture parameters; Asphalt pavement; Close range photogrammetry; Feature parameters; Pavement friction; Skid resistance
资金
- NPRP award (NPRP) from the Qatar National Research Fund (QNRF - a member of The Qatar Foundation) [7-482-2-184]
This study utilizes close range photogrammetry (CRP) to measure the texture of asphalt pavement surfaces with a view to explaining the variation of friction measurements obtained using a GripTester. A handheld camera was employed to capture images at different locations on both lanes of pavement sections using a scale rule for identification of control points. Proprietary software were employed for creation and analysis of 3D models from the images to determine pavement surface texture parameters. Different scenarios were considered including pavement surface analysis before and after filtering for micro- and macro-texture separation. Thresholding with respect to height to analyze the top 1-2 mm of the surface was also considered. Texture parameters were then related to friction measured at the image capture locations. The lane with higher friction values generally showed higher individual texture parameters across different scenarios. However, meaningful texture-friction correlations along the lanes were only obtained with the top 2 mm of the surface. Stepwise regression indicated that the density of peaks (Spd) and the peak material volume (Vmp) best correlate (R-2 = 0.75-0.76) with friction, but the Spd is more influential. These parameters can be used as indicators of pavement surface friction during its service life. (C) 2018 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据