Discrete-Element Modeling of Mean Texture Depth and Wearing Behavior of Asphalt Mixture
Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 4
Abstract
The mean texture depth (MTD) of asphalt pavement surface is an important indicator of skid resistance of asphalt pavement. This paper aimed to analyze the wearing behavior of asphalt mixtures under repetitive tire loads using discrete element modeling (DEM). An algorithm was developed to generate the two-dimensional (2D) microstructure of an asphalt mixture model using DEM considering real shapes of aggregates. The evolution of the surface texture of asphalt mixtures under repeated tire loads was simulated due to aggregate wear and asphalt mortar deformation in DEM. The degradation curve of the MTD of an asphalt mixture with the number of loading cycles was obtained and verified using laboratory testing results. The degradation trend of the MTD was captured as a function of the loading cycle and three fitting parameters that can be obtained from simulation results. A decrease in the MTD of asphalt pavement was found to be significantly affected by the applied stress and tire rubber stiffness. A conversion method was further developed to predict the long-term value of the MTD after a large number of loading cycles. The study findings are useful for understanding the degradation of the surface texture of asphalt mixtures at the microscopic level.
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Data Availability Statement
The mean surface texture data that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was partially funded by the Guizhou Transportation Science and Technology Foundation (CN) (Grant No. 2019-122-006), the Natural Science Foundation of Hunan Province (CN) (Grant No. 2020JJ4702), and the Jiangxi Transportation Science and Technology Foundation (CN) (Grant No. 2020H0028).
References
Bian, X. C., W. Li, Y. Qian, and E. Tutumluer. 2019. “Micromechanical particle interactions in railway ballast.” Int. J. Geomech. 19 (5): 04019031. https://doi.org/10.1061/(ASCE)GM.1943-5622.0001403.
Bo, W., M. Ullrich, and R. Sebastian. 2017. “Discrete element modeling of the single-particle crushing test for ballast stones.” Comput. Geotech. 88 (Aug): 61–73. https://doi.org/10.1016/j.compgeo.2017.03.007.
Chen, J., H. Li, L. B. Wang, J. Wu, and X. M. Huang. 2015. “Micromechanical characteristics of aggregate particles in asphalt mixtures.” Constr. Build. Mater. 91 (Aug): 80–85. https://doi.org/10.1016/j.conbuildmat.2015.05.076.
Chen, J. Q., H. Wang, and L. Li. 2017. “Virtual testing of asphalt mixture with 2D and 3D random aggregate microstructures.” Int. J. Pavement Eng. 18 (9): 824–836. https://doi.org/10.1080/10298436.2015.1066005.
Dan, H. C., L. H. He, and B. Xu. 2017. “Experimental investigation on skid resistance of asphalt pavement under various slippery conditions.” Int. J. Pavement Eng. 18 (6): 485–499. https://doi.org/10.1080/10298436.2015.1095901.
Dan, H. C., Z. Zhang, J. Q. Chen, and H. Wang. 2018. “Numerical simulation of an indirect tensile test for asphalt mixtures using discrete element method software.” J. Mater. Civ. Eng. 30 (5): 04018067. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002252.
Delaney, G. W., R. D. Morrison, M. D. Sinnott, S. Cummins, and P. W. Cleary. 2015. “DEM modelling of non-spherical particle breakage and flow in an industrial scale cone crusher.” Miner. Eng. 74 (Apr): 112–122. https://doi.org/10.1016/j.mineng.2015.01.013.
Ding, Y. M., H. Wang, J. Y. Qian, and H. C. Zhou. 2021. “Evaluation of hydroplaning risk on permeable friction course using 3-D grooved tire-water-pavement interaction model.” Transp. Res. Rec. 147 (3): 04021041.
Ding, Y. M., H. Wang, J. Y. Qian, and H. C. Zhou. 2021. “Evaluation of tire rolling resistance from tire-deformable pavement interaction modeling.” J. Transp. Eng. Part B. Pavements 147 (3): 04021041. https://doi.org/10.1061/JPEODX.0000295.
Dong, Z. 2011. “Study on accelerated polishing test and the regularity of skid resistance degradation of asphalt pavement materiel.” Ph.D. dissertation, School of Highway, Chang'an Univ.
Guo, Z. Y., Q. Yang, and B. Liu. 2009. “Mixture design of pavement surface course considering the performance of skid resistance and disaster proof in road tunnels.” J. Mater. Civ. Eng. 21 (4): 186–190. https://doi.org/10.1061/(ASCE)0899-1561(2009)21:4(186).
Itasca. 2015. Particle flow code in two dimensions PFC2D: Theory and background. Minneapolis, MN: Itasca Consulting Group.
Kassem, E., A. Awed, A. Masad, and D. N. Little. 2013. “Development of predictive model for skid loss of asphalt pavements.” Transp. Res. Rec. 2372 (1): 83–96. https://doi.org/10.3141/2372-10.
Khattak M. J., et al. 2015. “Imaged-based discrete element modeling of hot mix asphalt mixtures.” Mater. Struct. 48 (8): 2417–2430. https://doi.org/10.1617/s11527-014-0328-1.
Kotek, P., and Z. Florková. 2014. “Comparison of the skid resistance at different asphalt pavement surfaces over time.” Procedia Eng. 91 (Jan): 459–463. https://doi.org/10.1016/j.proeng.2014.12.026.
Kuang, D., X. Wang, Y. Jiao, B. Zhang, Y. Liu, and H. Chen. 2019. “Influence of angularity and roughness of coarse aggregates on asphalt mixture performance.” Constr. Build. Mater. 200 (Mar): 681–686. https://doi.org/10.1016/j.conbuildmat.2018.12.176.
Li, P., K. Yi, H. Yu, J. Xiong, and R. Xu. 2020. “Effect of aggregate properties on long-term skid resistance of asphalt mixture.” J. Mater. Civ. Eng. 33 (1): 04020413. https://doi.org/10.1061/(ASCE)MT.1943-5533.0003539.
Li, Q., G. Yang, K. C. Wang, Y. Zhan, and C. Wang. 2017. “Novel macro-and microtexture indicators for pavement friction by using high-resolution three-dimensional surface data.” Transp. Res. Rec. 2641 (1): 164–176. https://doi.org/10.3141/2641-19.
Liu, X. Y., Q. Q. Cao, H. Wang, J. Y. Chen, and X. M. Huang. 2019. “Analysis of vehicle braking performance on wet pavement surface using an integrated tire-vehicle modelling approach.” Transp. Res. Rec. 2673 (3): 295–307. https://doi.org/10.1177/0361198119832886.
Liu, Y., Q. Dai, and Z. You. 2009. “Viscoelastic model for discrete element simulation of asphalt mixtures.” J. Eng. Mech. 135 (4): 324–333. https://doi.org/10.1061/(ASCE)0733-9399(2009)135:4(324).
Ma, T., H. Wang, D. Y. Zhang, Y. Zhang, and T. Chen. 2017. “Heterogeneity effect on creep behavior of asphalt mixture based on three-dimensional discrete element modeling.” Mech. Mater. 104 (May): 49–59. https://doi.org/10.1016/j.mechmat.2016.10.003.
Mahmoud, E., and E. Masad. 2007. “Experimental methods for the evaluation of aggregate resistance to polishing, abrasion, and breakage.” J. Mater. Civ. Eng. 19 (11): 977–985. https://doi.org/10.1061/(ASCE)0899-1561(2007)19:11(977).
Murat, E., L. Sukriye, and F. Lyinama. 2005. “Prediction of road surface friction coefficient using only macro- and microtexture measurements.” J. Transp. Eng. 131 (4): 311–319. https://doi.org/10.1061/(ASCE)0733-947X(2005)131:4(311).
Refahi, A., J. A. Mohandesi, and B. Rezai. 2010. “Discrete element modeling for predicting breakage behavior and fracture energy of a single particle in a jaw crusher.” Int. J. Miner. Process. 94 (1–2): 83–91. https://doi.org/10.1016/j.minpro.2009.12.002.
Rezaei, A., and E. Masad. 2013. “Experimental-based model for predicting the skid resistance of asphalt pavements.” Int. J. Pavement Eng. 14 (1): 24–35. https://doi.org/10.1080/10298436.2011.643793.
Salemi, M., and H. Wang. 2018. “Image-aided random aggregate packing for computational modeling asphalt concrete microstructure.” Constr. Build. Mater. 177 (Jul): 467–476. https://doi.org/10.1016/j.conbuildmat.2018.05.139.
Sun, Y. F., and C. J. Zheng. 2017. “Breakage and shape analysis of ballast aggregates with different size distributions.” Particuology 35 (Dec): 84–92. https://doi.org/10.1016/j.partic.2017.02.004.
Wang, D. W., et al. 2013. “Influence of different polishing conditions on the skid resistance development of asphalt surface.” Wear 308 (1–2): 71–78. https://doi.org/10.1016/j.wear.2013.09.013.
Wang, D. W., P. Liu, H. Wang, A. Ueckermann, and M. Oeser. 2017. “Modeling and testing of road surface aggregate wearing behavior.” Constr. Build. Mater. 131 (Jan): 129–137. https://doi.org/10.1016/j.conbuildmat.2016.11.075.
Wang, H., and Z. L. Wang. 2013. “Effectiveness of preservation treatments on pavement surface friction.” Constr. Build. Mater. 48 (2): 194–202. https://doi.org/10.1016/j.conbuildmat.2013.06.048.
Wu, X. R., N. X. Zheng, and J. N. Lei. 2021. “Influencing factors and mechanism for the attenuation of the skid resistance for bauxite clinker-asphalt mixtures.” Constr. Build. Mater. 283 (May): 122670. https://doi.org/10.1016/j.conbuildmat.2021.122670.
Xie, X., G. Lu, P. Liu, D. Wang, Q. Fan, and M. Oeser. 2017. “Evaluation of morphological characteristics of fine aggregate in asphalt pavement.” Constr. Build. Mater. 139 (May): 1–8. https://doi.org/10.1016/j.conbuildmat.2017.02.044.
Xu, B. D. 2002. Introduction to materials science. Beijing: Press of Beijing University of Technology.
Yan, W. W. 2014. “Studies on thermal structures of solid PU tires based on finite element method.” Master’s thesis, School of Mechanical and Automotive Engineering, South China Univ. of Technology Guangzhou.
Yan, Y., J. F. Zhao, and S. Ji. 2015. “Discrete element analysis of breakage of irregularly shaped railway ballast.” Geomech. Geoeng. Int. J. 10 (1): 1–9. https://doi.org/10.1080/17486025.2014.933891.
Yang, G. W., et al. 2019. “Field performance evaluation of high friction surface treatments (HFST) in Oklahoma.” Can. J. Civ. Eng. 46 (12): 1142–1150. https://doi.org/10.1139/cjce-2018-0521.
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© 2022 American Society of Civil Engineers.
History
Received: Apr 16, 2021
Accepted: Sep 2, 2021
Published online: Jan 22, 2022
Published in print: Apr 1, 2022
Discussion open until: Jun 22, 2022
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