Effect of 3D aggregate shape on thermo-mechanical properties of asphalt concrete using a mesostructure-based homogenisation method

References

• AASHTO, 2011. Standard method of test for determining dynamic modulus of hot-mix asphalt (HMA). AASHTO T 342-11. Washington, DC: AASHTO.
   Google Scholar
• ARA (Applied Research Associates), 2004. Guide for mechanisticempirical design of new and rehabilitated pavement structures. Final Rep., NCHRP Project 1–37A. Albuquerque, NM: ARA.
   Google Scholar
• Aragao, S., et al., 2016. Effects of morphological characteristics of aggregate particles on the mechanical behavior of bituminous paving mixtures. Construction and Building Materials, 123, 444–453.
   Web of Science ®Google Scholar
• Buttlar, W., Paulino, G.H., and Song, S, 2006. Application of graded finite elements for asphalt pavements. Journal of Materials in Civil Engineering, 132 (3), 240–249.
   Google Scholar
• Castillo, D., et al., 2018. Influence of aggregate morphology on the mechanical performance of asphalt mixtures. Road Materials and Pavement Design, 19 (4), 972–991.
   Web of Science ®Google Scholar
• Ding, X., Ma, T., and Gao, W, 2017. Morphological characterization and mechanical analysis for coarse aggregate skeleton of asphalt mixture based on discrete-element modeling. Construction and Building Materials, 154, 1048–1061.
   Web of Science ®Google Scholar
• Du, C., et al., 2021a. Coupled thermomechanical damage behavior analysis of asphalt pavements using a 2D mesostructure-based finite-element method. Journal of Transportation Engineering, Part B: Pavements, 147 (2), 04021012.
   Web of Science ®Google Scholar
• Du, C., et al., 2021b. Effect of filler on performance of porous asphalt pavement using multiscale finite element method. International Journal of Pavement Engineering, (3), 1–11.
   Google Scholar
• Gong, H., et al., 2022. An efficient and robust method for predicting asphalt concrete dynamic modulus. International Journal of Pavement Engineering, 23 (8), 2565–2576.
   Web of Science ®Google Scholar
• Gong, M., Sun, Y., and Chen, J, 2021. Multi-scale analysis of asphalt pavement on curved concrete bridge deck considering effect of mesoscopic structure characteristic. Construction and Building Materials, 282, 122724.
   Web of Science ®Google Scholar
• Han, D., et al., 2021. Research on thermal properties and heat transfer of asphalt concrete based on 3D random reconstruction technique. Construction and Building Materials, 270, 121393.
   Web of Science ®Google Scholar
• Hoya, M., et al., 2017. Effect of wetting-drying cycles on compressive strength and microstructure of recycled asphalt pavement-Fly ash geopolymer. Construction and Building Materials, 144, 624–634.
   Web of Science ®Google Scholar
• Islam, M., and Tarefder, R, 2014. Determining thermal properties of asphalt concrete using field data and laboratory testing. Construction and Building Materials, 67, 297–306.
   Web of Science ®Google Scholar
• Kim, Y., Lutif, J., and Allen, D, 2009b. Determining representative volume elements of asphalt concrete mixtures without damage. Transportation Research Record: Journal of the Transportation Research Board, 2127, 52–59.
   Web of Science ®Google Scholar
• Kumbargeri, Y., Boz, I., and Kutay, M, 2019. Investigating the effect of binder and aggregate application rates on performance of chip seals via digital image processing and sweep tests. Construction and Building Materials, 222, 213–221.
   Web of Science ®Google Scholar
• Kutay, M, 2013. Computation of aggregate contact points, orientation and segregation in asphalt specimens using their X-Ray CT images. Advances in Computed Tomography for Geomaterials: GeoX, 2010, 108–116.
   Google Scholar
• Li, B., et al., 2019. Evaluation of coarse aggregate morphological characteristics affecting performance of heavy-duty asphalt pavements. Construction and Building Materials, 225, 170–181.
   Web of Science ®Google Scholar
• Liu, P., et al., 2017. Modelling and evaluation of aggregate morphology on asphalt compression behavior. Construction and Building Materials, 133, 196–208.
   Web of Science ®Google Scholar
• Qiu, W., Fu, S., and Ye, J, 2019. Auto-generation methodology of complex-shaped coarse aggregate set of 3D concrete numerical test specimen. Construction and Building Materials, 217 (AUG.30), 612–625.
   Google Scholar
• Song, W, et al., 2021. Investigating the skeleton strength of open-graded friction course using discrete element method. Powder Technology, 385, 528–536.
   Web of Science ®Google Scholar
• Sun, Y., et al., 2020. A two-dimensional random aggregate structure generation method: Determining effective thermo-mechanical properties of asphalt concrete. Mechanics of Materials, 148 (sep), 103510.
   Google Scholar
• Sun, Y., et al., 2021. Mesomechanical prediction of viscoelastic behavior of asphalt concrete considering effect of aggregate shape. Construction and Building Materials, 274, 122096.
   Web of Science ®Google Scholar
• Tschoegl, N. W, 1989. The phenomenological theory of linear viscoelastic behavior: an introduction. Berlin: Springer.
   Google Scholar
• Wang, B, et al., 2018. Study on mesoscopic modeling method for three-dimensional random concave-convex concrete aggregate. Chinese Journal of Applied Mechanics, 35, 1072–1076.
   Google Scholar
• Wang, F., et al., 2020. Effect of aggregate morphologies and compaction methods on the skeleton structures in asphalt mixtures. Construction and Building Materials, 263, 120220.
   Web of Science ®Google Scholar
• You, T., et al., 2013. Three-dimensional microstructural modeling of asphalt concrete by use of X-Ray computed tomography. Transportation Research Record: Journal of the Transportation Research Board, 2373 (1), 63–70.
   Google Scholar
• Zhang, H., et al., 2019. Realistic 3D modeling of concrete composites with randomly distributed aggregates by using aggregate expansion method. Construction and Building Materials, 225, 927–940.
   Web of Science ®Google Scholar