Directional distribution of three-dimensional connected voids in porous asphalt mixture and flow simulation of permeability anisotropy

References

• Al-Omari, A., et al., 2002. Proposed methodology for predicting HMA permeability. Journal of the Association of Asphalt Paving Technologists, 71, 30–58.
   Google Scholar
• Alvarez, A.E., Martin, A.E., and Estakhri, C, 2009. Connected air voids content in permeable friction course mixtures. Journal of Testing and Evaluation, 37 (3), 254–263.
   Web of Science ®Google Scholar
• Bear, J, 1972. Dynamics of fluids in porous media. New York: American Elsevier Publishing Company.
   Google Scholar
• Chen, J., et al., 2015. Permeability loss of open graded friction course mixtures due to deformation-related and particle-related clogging: understanding from a laboratory investigation. Journal of Materials in Civil Engineering, 27 (11), 04015023. doi: 10.1061/(ASCE)MT.1943-5533.0001282
   Web of Science ®Google Scholar
• Chen, J., et al., 2017c. Numerical investigation into the effect of air voids on the anisotropy of asphalt mixtures. Journal of Wuhan University of Technology – Materials Science Education, 32 (2), 473–481. doi: 10.1007/s11595-017-1621-y
   Web of Science ®Google Scholar
• Chen, J., et al., 2018. Evaluation of durability and functional performance of porous polyurethane mixture in porous pavement. Journal of Cleaner Product, 188, 12–19. doi: 10.1016/j.jclepro.2018.03.297
   Web of Science ®Google Scholar
• Chen, J., Pan, T.Y., and Huang, X.M, 2011. Numerical investigation into the stiffness anisotropy of asphalt concrete from a microstructural perspective. Construction and Building Materials, 25 (7), 3059–3065. doi: 10.1016/j.conbuildmat.2011.01.002
   Web of Science ®Google Scholar
• Chen, J., Tang, T., and Zhang, Y.Q, 2017b. Laboratory characterization of directional dependence of permeability for porous asphalt mixtures. Materials and Structures, 50, 215. doi: 10.1617/s11527-017-1081-z
   Web of Science ®Google Scholar
• Chen, J., Wang, H., and Zhu, H, 2017a. Investigation of permeability of open graded asphalt mixture considering effects of anisotropy and two-dimensional flow. Construction and Building Material, 145, 318–325. doi: 10.1016/j.conbuildmat.2017.04.028
   Web of Science ®Google Scholar
• Coleri, E., et al., 2013. Clogging evaluation of open graded friction course pavements tested under rainfall and heavy vehicle simulators. Journal of Environmental Management, 129, 164–172. doi: 10.1016/j.jenvman.2013.07.005
   PubMed Web of Science ®Google Scholar
• Colwill, D.M., et al., 1993. Porous asphalt trials in the United Kingdom. Transportation Research Record 1427. Washington, DC: Transportation Research Board, 13–21.
   Google Scholar
• Fwa, T.F., et al., 2001. Expedient permeability measurement for porous pavement surface. International Journal of Pavement Engineering, 2 (4), 259–270. doi: 10.1080/10298430108901731
   Google Scholar
• Fwa, T.F., Tan, S.A., and Guwe, Y. K, 1999. Laboratory evaluation of clogging potential of porous asphalt mixtures. Transportation Research Record 1681, Washington, DC, Transportation Research Board, 43–49.
   Google Scholar
• Gruber, I., et al., 2012. A computational study of the effect of structural anisotropy of porous asphalt on hydraulic conductivity. Construction and Building Material, 36, 66–77. doi: 10.1016/j.conbuildmat.2012.04.094
   Web of Science ®Google Scholar
• Hamzah, M.O., Hasan, M.R.M., and Van De Ven, M., 2012. Permeability loss in porous asphalt due to binder creep. Construction and Building Material, 30, 10–15. doi: 10.1016/j.conbuildmat.2011.11.038
   Web of Science ®Google Scholar
• Huang, W.K., Zhang, X.N., Yin, Y.M., 2016. An image-based finite element approach for simulating viscoelastic response of asphalt mixture, Advances in Materials Science and Engineering, Article ID 7428623, 11 pages.
   Web of Science ®Google Scholar
• Huber, G, 2000. Performance survey on open-graded friction course mixes. NCHRP Synthesis of Highway Practice 284. Transportation Research Board. Washington, DC: National Research Council, National Academy Press.
   Google Scholar
• Kumar, A., and Goetz, W. H, 1977. Asphalt hardening as affected by film thickness, voids and permeability in asphaltic mixtures. Journal of the Association of Asphalt Pavement Technologists, 46, 571–605.
   Google Scholar
• Kutay, M.E, 2005. Modeling moisture transport in asphalt pavements. Thesis (PhD). University of Maryland.
   Google Scholar
• Kutay, M.E., Aydilek, A.H., and Masad, E, 2006. Laboratory validation of lattice Boltzmann method for modeling pore-scale flow in granular materials. Computers and Geotechnics, 33, 381–395. doi: 10.1016/j.compgeo.2006.08.002
   Web of Science ®Google Scholar
• Li, H., Kayhanian, M., and Harvey, J.T, 2013. Comparative field permeability measurement of permeable pavements using ASTM C1701 and NCAT permeameter methods. Journal of Environmental Management, 118, 144–152. doi: 10.1016/j.jenvman.2013.01.016
   PubMed Web of Science ®Google Scholar
• Li, M.L., Zhou, X.Y., and Tian, Y.X., 2015. Ecological effect evaluation method of permeable slow-traffic system. 2015 international conference on computer science & engineering technology, 30–31 May 2015, Hong Kong. Singapore: World Scientific, 575–581.
   Google Scholar
• Mallick, R.B., et al., 2000. Design, construction and performance of new generation open-graded friction course. Journal of Association of Asphalt Pavement, 69, 391–423.
   Google Scholar
• Masad, E., et al., 2007b. Nondestructive measurement of moisture transport in asphalt mixtures. Journal of Association of Ashpalt Paving Technology, 76, 919–952.
   Google Scholar
• Masad, E., Al-Omari, A., and Chen, H.C, 2007a. Computations of permeability tensor coefficients and anisotropy of asphalt concrete based on microstructure simulation of fluid flow. Computational Material Science, 40, 449–459. doi: 10.1016/j.commatsci.2007.01.015
   Web of Science ®Google Scholar
• Smith, R. W., and Gotolski, W. H, 1969. A study of physical factors affecting the durability of asphaltic pavements, PB 189 832, Pennsylvania State University.
   Google Scholar
• Vardanega, P. J, 2014. State of the Art: permeability of asphalt concrete. Journal of Materials in Civil Engineering, 26 (1), 54–64. doi: 10.1061/(ASCE)MT.1943-5533.0000748
   Web of Science ®Google Scholar
• Vardanega, P. J., and Waters, T. J, 2011. Analysis of asphalt concrete permeability Data using Representative pore size. Journal of Materials in Civil Engineering, 23 (2), 169–176. doi: 10.1061/(ASCE)MT.1943-5533.0000151
   Web of Science ®Google Scholar
• Wang, L., et al., 2011. Development and evaluation of functional open graded friction courses (FOGFC) Mixtures for in situ highway runoff treatment, geo-frontiers congress 2011, 4573–4583.
   Google Scholar
• Wang, H., et al., 2016. Modeling and optimization of acoustic absorption for porous asphalt concrete. Journal of Engineering and Mechaniccs, 142 (4), 04016002. doi: 10.1061/(ASCE)EM.1943-7889.0001037
   Web of Science ®Google Scholar
• Xiao, X., and Zhang, X.N, 2016. Research on connecting void characteristics of porous asphalt mixture based on industrial CT. China Journal of Highway and Transport, 29 (8), 22–28.
   Google Scholar
• Xu, H.N., et al., 2017. Investigation of anisotropic flow in asphalt mixtures using the X-ray image technique: pore structure effect. Road Materials and Pavement Design, 4, 1–18. doi: 10.1080/14680629.2017.1397047
   Google Scholar
• Xu, H.N., Guo, W., and Tan, Y.Q, 2015. Internal structure evolution of asphalt mixtures during freeze–thaw cycles. Materials & Design, 86, 436–446. doi: 10.1016/j.matdes.2015.07.073
   Web of Science ®Google Scholar
• Zhang, J., et al., 2018a. Geometric anisotropy modeling and shear behavior evaluation of graded crushed rocks. Construction and Building Materials, 183, 346–355. doi: 10.1016/j.conbuildmat.2018.06.188
   Web of Science ®Google Scholar
• Zhang, J., et al., 2018b. Numerical study on seepage flow in pervious concrete based on 3D CT imaging. Construction and Building Materials, 161, 468–478. doi: 10.1016/j.conbuildmat.2017.11.149
   Web of Science ®Google Scholar
• Zhang, Y., et al., 2018c. Performance verification of various bulk density measurement methods for open- and gap-graded asphalt mixtures using X-ray computed tomography. Construction and Building Materials, 158, 855–863. doi: 10.1016/j.conbuildmat.2017.10.090
   Web of Science ®Google Scholar
• Zhang, D., Li, X., and Liu, B, 2011b. Objective characterization of GE discovery CT750 HD scanner: gemstone spectral imaging mode. Medical Physics, 38 (3), 1178–1188. doi: 10.1118/1.3551999
   PubMed Web of Science ®Google Scholar
• Zhang, Y., Luo, R., and Lytton, R.L, 2011a. Microstructure-based inherent anisotropy of asphalt mixtures. Journal of Materials in Civil Engineering, 23 (10), 1473–1482. doi: 10.1061/(ASCE)MT.1943-5533.0000325
   Web of Science ®Google Scholar
• Zube, E., 1962. Compaction studies of asphalt concrete pavement as related to the water permeability test. 41st Annual Meeting Highway Research Board. Washington, DC: Transportation Research Board, 12–37.
   Google Scholar