Skid resistance: understanding the role of road texture scales using a signal decomposition technique and a friction model

References

• ASTM E1911, Standard test method for measuring paved surface frictional properties using the dynamic friction tester, Developed by Subcommittee: E17.21, Book of Standards Volume: 04.03.
   Google Scholar
• ASTM E1960 - 07(2011), Standard practice for calculating international friction index of a pavement surface, developed by subcommittee: E17.21, Book of Standards Volume: 04.03.
   Google Scholar
• ASTM E-1960, 2015. Standard practice for calculating international friction index of a pavement surface. ASTM International, West Conshohocken, PA.ASTM E274/E274M–11, 2011. Standard Test Method for Friction of Paved Surfaces Using a Full-Scale Tire.
   Google Scholar
• ASTM, 1998. Calculating international friction index of a pavement surface, standard no.E1960-98.
   Google Scholar
• Cho, C., Stoffels, S.M., and Rado, Z., 2010. Application of hilbert huang transformation to analyze pavement texture-skid resistance relationship. Thesis of the Pennsylvania State University.
   Google Scholar
• Do, M.-T., et al., 2007. Pavement polishing - development of a dedicated laboratory test and its correlation with road results. Wear, 263 (Special Issue), 36–42. doi: https://doi.org/10.1016/j.wear.2006.12.086
   Web of Science ®Google Scholar
• Forster, S.W., 1989. Pavement microtexture and its relation to friction. Transportation Research Record, 1215, 151–164.
   Google Scholar
• Fwa, T.F., 2017, September. Friction determination for pavement management and wet-weather road safety. International Journal of Transportation Science and Technology, 6 (3), 217–227. doi: https://doi.org/10.1016/j.ijtst.2017.08.001
   Google Scholar
• Gert, H., 1997, March. Hysteresis friction of sliding Rubbers on rough and fractal surfaces. Rubber Chemistry and Technology, 70 (1), 1–14. doi: https://doi.org/10.5254/1.3538415
   Web of Science ®Google Scholar
• Hall, J.W., et al., 2009. Guide for pavement friction, NCHRP web-only document 108, February 2009, ISBN 978-0-309-42974-0. Available from: https://www.nap.edu/catalog/23038/guide-for-pavement-friction.
   Google Scholar
• Huang, H. and Pan, J., 2006. Speech pitch determination based on Hilbert-Huang transform. Signal Processing, 86 (4), 792–803. doi:https://doi.org/10.1016/j.sigpro.2005.06.011.
   Web of Science ®Google Scholar
• ISO 13473-2: 2002. Characterization of pavement texture by use of surface profiles - part 2: Terminology and basic requirements related to pavement texture profile analysis.
   Google Scholar
• Kane, M. and Edmondson, V., 2018. Modelling the bitumen scour effect: Enhancement of a dynamic friction model to predict the skid resistance of rubber upon asphalt pavement surfaces subjected to wear by traffic. Wear, 400, 100–110. doi: https://doi.org/10.1016/j.wear.2017.12.013
   Web of Science ®Google Scholar
• Kane, M. and Cerezo, V., 2015. A contribution to tire/road friction modeling: from a simplified dynamic friction contact model to a ‘dynamic friction tester’ model. Wear, 342, 163–171. doi:https://doi.org/10.1016/j.wear.2015.08.007.
   Web of Science ®Google Scholar
• Kane, M., Artamendi, I., and Scarpas, T., 2013, June 15. Long-term skid resistance of asphalt surfacings: correlation between Wehner–Schulze Friction values and the mineralogical composition of the aggregates. Wear, 303 (1–2), 235–243. doi: https://doi.org/10.1016/j.wear.2013.03.022
   Web of Science ®Google Scholar
• Kane, M., et al., 2017. Contribution to pavement friction modeling: an introduction of the wetting effect. International Journal of Pavement Engineering, 1–12. doi:https://doi.org/10.1080/10298436.2017.1369776.
   Google Scholar
• Kane, M., Rado, Z., and Timmons, A., 2014. Exploring the texture–friction relationship: from texture empirical decomposition to pavement friction. International Journal of Pavement Engineering, 16 (10), 919–928. doi: https://doi.org/10.1080/10298436.2014.972956
   Web of Science ®Google Scholar
• Kulakowski, B.T., 1991. Mathematical model of skid resistance as a function of speed. Transport Research Record, 1311, 26–33.
   Google Scholar
• Leu, M.C. and Henry, J.J., 1983. Prediction of friction as a function of speed from pavement texture. Washington, DC: Transportation Research Board, Transportation Research Record, No. 946.
   Google Scholar
• Masad, E., et al., 2009. Predicting asphalt mixture friction based on aggregate characteristics. Transportation Research Record Journal of the Transportation Research Board, 2104, 24–33. doi: https://doi.org/10.3141/2104-03
   Web of Science ®Google Scholar
• Rado, Z., 1996. Fractal characterization of road surface textures for analysis of friction. International symposium on Pavement Surface Characteristics, Christchurch, New Zealand, 101–133, ISBN: 0-86910-711-9.
   Google Scholar
• Sabey, B.E., 1958. Pressure distribution beneath spherical and conical shapes pressed into a rubber plane, and their bearing on coefficient of friction under wet conditions. Proceedings of the Physical Royal Society, 71, 979–988. doi: https://doi.org/10.1088/0370-1328/71/6/311
   Web of Science ®Google Scholar
• Tourenq, C. and Fourmaintraux, D., 1971. Propriétés des granulats et glissance routières. Bulletin de Liaison des Laboratoires des Ponts et Chaussées, 51, 61–69.
   Google Scholar
• Villani, M., et al., 2011. Contribution of hysteresis component of tire rubber friction on stone surfaces. Transportation Research Record: Journal of the Transportation Research Board, 2227 (1), 153–162. doi: https://doi.org/10.3141/2227-17
   Web of Science ®Google Scholar