Effect of three-dimensional macrotexture characteristics on dynamic frictional coefficient of asphalt pavement surface

Abstract The surface macrotexture of asphalt mixture significantly influences the skid resistance of pavement. In this study, a handy laser scanner was employed to collect (3D) macrotexture data of asphalt pavement surface, and the dynamic friction coefficient of pavement surface was measured by a dynamic friction tester. In order to qualitatively analyze the influence of macrotexture on the skid resistance, the 3D images of macrotexture were re-constructed based on the measured data, eight different parameters were used to describe the 3D characteristics of macrotexture images. Furthermore, the influence of these parameters on dynamic friction coefficient was analyzed by statistic methods. The results show that the relationship between mean profile depth and friction coefficient at different test speed is not close as expected. The peak density and the arithmetic mean peak curvature of 3D macrotexture images have significant positive influence on the dynamic friction coefficient. However, the effect of these two factors on the friction coefficient depends on the test speed. The study recommends improving the skid resistance of asphalt pavement by increasing the number of aggregates exposed in pavement surface and using sharp-angular aggregate.

[1]  Terhi K Pellinen,et al.  Macro- and micro-texture evolution of road pavements and correlation with friction , 2015 .

[2]  Liu Qing-quan,et al.  Relationship Between Surface Macrotexture and Skid Resistance of Asphalt Pavement , 2011 .

[3]  Mohamed Saleh,et al.  Stereo-vision applications to reconstruct the 3D texture of pavement surface , 2011 .

[4]  Eyad Masad,et al.  A state-of-the-art review of parameters influencing measurement and modeling of skid resistance of asphalt pavements , 2016 .

[5]  J. J. Henry,et al.  EVALUATION OF PAVEMENT FRICTION CHARACTERISTICS , 2000 .

[6]  A Dunford Measuring skid resistance without contact - 2008-2009 progress report , 2008 .

[7]  Elisabete F. Freitas,et al.  3D surface profile equipment for the characterization of the pavement texture - TexScan , 2010 .

[8]  Ghim Ping Ong,et al.  Wet-Pavement Hydroplaning Risk and Skid Resistance: Analysis , 2008 .

[9]  P G Roe,et al.  The Polished Stone Value of Aggregates and In-service Skidding Resistance , 1998 .

[10]  Tao Liu,et al.  Research on skid resistance of asphalt pavement based on three-dimensional laser-scanning technology and pressure-sensitive film , 2014 .

[11]  C. Roques-carmes,et al.  Fractal approach to two-dimensional and three-dimensional surface roughness , 1986 .

[12]  Burkhard Wies,et al.  Characterization of Pavement Texture by Means of Height Difference Correlation and Relation to Wet Skid Resistance , 2015 .

[13]  Nima Kargah-Ostadi,et al.  Monitoring Pavement Surface Macrotexture and Friction , 2015 .

[14]  Y. Miao,et al.  Fractal and Multifractal Characteristics of 3D Asphalt Pavement Macrotexture , 2014 .

[15]  B. Sabey Pressure Distributions beneath Spherical and Conical Shapes pressed into a Rubber Plane, and their Bearing on Coefficients of Friction under Wet Conditions , 1958 .