Characterization of Asphalt Pavement Surface Texture

Author(s):  
Timothy Miller ◽  
Daniel Swiertz ◽  
Laith Tashman ◽  
Nader Tabatabaee ◽  
Hussain U. Bahia

This paper presents improved analysis methods for characterizing asphalt pavement surface texture and focuses on the use of laser profiling techniques to estimate friction characteristics. Derived from signal processing theories, texture spectral analysis methods show promise for improving characterization of the tire–pavement interface. Texture parameters measured with spectral analysis techniques represent a means for quantifying surface properties. Current methods to analyze frictional properties rely on the mean profile depth (MPD) and mean texture depth (MTD) texture parameters. Although these parameters are used widely, they do not capture the range and distribution of surface asperities on the pavement surface. Knowing the distribution of surface asperities is critical for assessing friction characteristics. Thus, texture spectral analysis methods are anticipated to improve on the MPD and MTD parameters by capturing relevant texture-level distributions. This study investigates the applicability of laser profiling systems for measuring pavement surface texture and subsequent relationships to friction. Models accounting for aggregate and mixture properties are developed and related to texture parameters through analysis of constructed field sections and corresponding laboratory samples. Results indicate that stationary laser profiling systems can capture the microtexture and macrotexture spectrum and suggest that a comprehensive friction characterization of asphalt mixtures can be obtained in a laboratory setting. With this analysis system, it is believed that asphalt mixture designers will have an improved tool by which to estimate pavement surface texture and frictional properties.

2021 ◽  
Vol 272 ◽  
pp. 121947
Author(s):  
Calypso Chadfeau ◽  
Safiullah Omary ◽  
Essia Belhaj ◽  
Christophe Fond ◽  
Françoise Feugeas

1975 ◽  
Vol 97 (1) ◽  
pp. 190-195 ◽  
Author(s):  
T. S. Sankar ◽  
M. O. M. Osman

This paper discusses a new approach for describing accurately the typology of manufactured surfaces. The method employs the theory of stochastic excursions to characterize the surface texture in the amplitude and lengthwise directions. The mathematical principle behind the approach is briefly explained, and it is shown that an accurate description of the roughness can be obtained from the knowledge of the intercept probabilities of the crest and valley excursions of the surface texture about any given level, say the CLA value, specified with respect to the mean line. Based on the preceding excursion probability densities, new surface texture parameters are proposed. These parameters may be computed directly from the surface roughness data obtained from commercially available measuring devices. On the basis of this investigation, it is feasible to develop a low-cost measuring device for “on-line” surface evaluation in production. It is also shown that the sampling length provides a geometrically well-defined filter characteristic similar to that of the rolling circle radius in the E-system.


2008 ◽  
Vol 24 (11) ◽  
pp. 1385-1392 ◽  
Author(s):  
Tsutomu KURISAKI ◽  
Shuji MATSUO ◽  
Imre TÓTH ◽  
Hisanobu WAKITA

Author(s):  
Zhanqi Tang ◽  
Xiaojun Liu ◽  
Kun Liu

Surface texturing is a widely used method to improve the tribological performance of the mechanical systems. To introduce the surface texture into the mechanical components, this study experimentally examined the frictional behaviors of grease lubricated spherical plain bearings under mixed lubrication conditions on an electro-hydraulic servo tribological test rig. The effects of the surface texture parameters and roughness parameters on the frictional properties of bearings were investigated. The results showed that higher dimple depths and lower dimple densities would result in a distinct improvement on the friction coefficients. A maximum reduction of 55% was gained for the textured sample under running conditions compared with the untextured one. In addition, the surface roughness parameters also influence the frictional behaviors. In the high load conditions, the friction coefficient decreases while the Ssk value gets more negative, even though the Sa value is much higher. On the other hand, in the low load conditions, when the value of Ssk varies between −5 and −1, the influence of the value of Sa on the friction coefficient becomes obvious, a higher Sa value results in a higher friction coefficient.


2020 ◽  
Vol 19 (3) ◽  
pp. 474-485
Author(s):  
Derya Kaya Ozdemir ◽  
◽  
Ali Topal ◽  
Bulent Kacmaz ◽  
Burak Sengoz

Pavement management systems are crucial because of monitoring the current pavement condition to supply safe, efficient, comfortable and durable riding surface for vehicles. Driving safety is the most important issue, which is closely related to pavement surface texture. The texture of the pavement surface and its ability to resist the polishing effect of heavy traffic is an important parameter in providing necessary skidding resistance during the service life. In this study, 4 different asphalt pavement sections located in Izmir/TURKEY with having different traffic characteristics were investigated every three months for two years aiming to evaluate the effect of traffic volume on the surface textural and frictional properties of the pavement. The textural properties were evaluated using sand patch test (SPT) and a 3D Laser Scanning System (LSS), while Dynamic Friction Tester (DFT) was employed to assess the frictional properties. As a result, lower Mean Texture Depth (MTD) and Mean Profile Depth (MPD) values were obtained for the increased traffic volumes. High correlation was derived between macro and micro textural properties of the asphalt pavement. Additionally, the textural and frictional properties were found highly related for the investigated asphalt pavement surfaces.


Author(s):  
D J Mulvaney ◽  
D E Newland ◽  
K F Gill

The spectral analysis of surface texture data is extended so as to include the longer wavelength ‘waviness’ features in addition to the ‘roughness’ aspects. This results in the identification of an underlying form in the spectral estimates of engineering surfaces whose complete description requires only two parameters. Also, by showing that the spectral estimates converge to a final steady value at the longer wavelengths, the need to select and apply a standard cut-off filter is avoided.


Coatings ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 424
Author(s):  
Yuan Yan ◽  
Maoping Ran ◽  
Ulf Sandberg ◽  
Xinglin Zhou ◽  
Shenqing Xiao

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 SFCsl (representing the slope of the side force coefficient (SFC) 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.


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