Spectral Techniques Applied to Evaluate Pavement Friction and Surface Texture

To study texture of pavement surfaces and its effect on pavement friction, this article features a field experiment conducted on in-service pavements to characterize surface texture by spectral analysis to substantiate links to friction values. Pavement friction was measured using a Mu-meter and Bri...

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Main Authors: Yuan Yan, Maoping Ran, Ulf Sandberg, Xinglin Zhou, Shenqing Xiao
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Coatings
Subjects:
Online Access:https://www.mdpi.com/2079-6412/10/4/424
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spelling doaj-5da098a730cd476583e0f0b6760a26212020-11-25T02:39:04ZengMDPI AGCoatings2079-64122020-04-011042442410.3390/coatings10040424Spectral Techniques Applied to Evaluate Pavement Friction and Surface TextureYuan Yan0Maoping Ran1Ulf Sandberg2Xinglin Zhou3Shenqing Xiao4School of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, ChinaSchool of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, ChinaSwedish National Road and Transport Research Institute (VTI), 581 95 Linköping, SwedenSchool of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, ChinaSchool of Traffic science and Engineering, Harbin Institute of Technology, Harbin 150090, ChinaTo study texture of pavement surfaces and its effect on pavement friction, this article features a field experiment conducted on in-service pavements to characterize surface texture by spectral analysis to substantiate links to friction values. Pavement friction was measured using a Mu-meter and British pendulum tester whereas texture data was collected using a stationary laser profilometer. Texture spectra were analyzed and expressed in third octave bands. The correlation between texture spectral levels and friction values at different speeds are discussed in the paper. Results show that the texture level, including spectral band levels, can well represent texture characteristics, as texture spectral levels have a good correlation with friction coefficient, especially the texture level of texture wavelengths at 1.25–12.5 mm versus <i>SFC</i><sub>sl</sub> (representing the slope of the side force coefficient (<i>SFC</i>) versus speed), i.e., the slope of friction versus speed. This friction parameter gives better correlations with texture parameters than friction values at different speeds, which is believed to be an effect of the drainage caused by texture in that wavelength range.https://www.mdpi.com/2079-6412/10/4/424pavementsurface texturespectral analysisskid resistancetexture level
collection DOAJ
language English
format Article
sources DOAJ
author Yuan Yan
Maoping Ran
Ulf Sandberg
Xinglin Zhou
Shenqing Xiao
spellingShingle Yuan Yan
Maoping Ran
Ulf Sandberg
Xinglin Zhou
Shenqing Xiao
Spectral Techniques Applied to Evaluate Pavement Friction and Surface Texture
Coatings
pavement
surface texture
spectral analysis
skid resistance
texture level
author_facet Yuan Yan
Maoping Ran
Ulf Sandberg
Xinglin Zhou
Shenqing Xiao
author_sort Yuan Yan
title Spectral Techniques Applied to Evaluate Pavement Friction and Surface Texture
title_short Spectral Techniques Applied to Evaluate Pavement Friction and Surface Texture
title_full Spectral Techniques Applied to Evaluate Pavement Friction and Surface Texture
title_fullStr Spectral Techniques Applied to Evaluate Pavement Friction and Surface Texture
title_full_unstemmed Spectral Techniques Applied to Evaluate Pavement Friction and Surface Texture
title_sort spectral techniques applied to evaluate pavement friction and surface texture
publisher MDPI AG
series Coatings
issn 2079-6412
publishDate 2020-04-01
description To study texture of pavement surfaces and its effect on pavement friction, this article features a field experiment conducted on in-service pavements to characterize surface texture by spectral analysis to substantiate links to friction values. Pavement friction was measured using a Mu-meter and British pendulum tester whereas texture data was collected using a stationary laser profilometer. Texture spectra were analyzed and expressed in third octave bands. The correlation between texture spectral levels and friction values at different speeds are discussed in the paper. Results show that the texture level, including spectral band levels, can well represent texture characteristics, as texture spectral levels have a good correlation with friction coefficient, especially the texture level of texture wavelengths at 1.25–12.5 mm versus <i>SFC</i><sub>sl</sub> (representing the slope of the side force coefficient (<i>SFC</i>) versus speed), i.e., the slope of friction versus speed. This friction parameter gives better correlations with texture parameters than friction values at different speeds, which is believed to be an effect of the drainage caused by texture in that wavelength range.
topic pavement
surface texture
spectral analysis
skid resistance
texture level
url https://www.mdpi.com/2079-6412/10/4/424
work_keys_str_mv AT yuanyan spectraltechniquesappliedtoevaluatepavementfrictionandsurfacetexture
AT maopingran spectraltechniquesappliedtoevaluatepavementfrictionandsurfacetexture
AT ulfsandberg spectraltechniquesappliedtoevaluatepavementfrictionandsurfacetexture
AT xinglinzhou spectraltechniquesappliedtoevaluatepavementfrictionandsurfacetexture
AT shenqingxiao spectraltechniquesappliedtoevaluatepavementfrictionandsurfacetexture
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