Investigation of Fracture Behavior of Recycled Asphalt Mixtures Using a Discrete Element Computational Model

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Proceedings of the RILEM International Symposium on Bituminous Materials (ISBM 2020)

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Abstract

A discrete element computational model is used to simulate the fracture behavior of asphalt mixtures, containing different RAP proportions, at low temperatures. In this model, coarse aggregates are explicitly represented by rigid spherical particles. The bonds that connect these particles represent the fine aggregate matrix (FAM), which is defined as the combination of asphalt binder and fine aggregates. The model is used to investigate the fracture behavior of four asphalt mixtures with different RAP contents. Semi-circular bend (SCB) fracture tests are performed on the asphalt mixtures and bending beam rheometer (BBR) strength tests are performed on FAM at low temperatures.

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References

  1. AASHTO TP-105, AASHTO TP105-2013 Standard Method of Test for Determining the Fracture Energy of Asphalt Mixtures Using the Semicircular Bend Geometry (SCB). American Association of State Highway and Transportation Officials (AASHTO). (2007)

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  2. Marasteanu, M., Falchetto, A.C., Turos, M., et al.: Development of a simple test to determine the low temperature strength of asphalt mixtures and binders. NCHRP-IDEA Program Project Final Report (2012)

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  3. Le, J.L., Hendrickson, R., Marasteanu, M.O., et al.: Use of fine aggregate matrix for computational modeling of low temperature fracture of asphalt concrete. Mater. Struct. 51(6), 152 (2018)

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Correspondence to Mihai Marasteanu .

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Xu, M., Le, JL., Yan, T., Turos, M., Marasteanu, M., Feng, D. (2022). Investigation of Fracture Behavior of Recycled Asphalt Mixtures Using a Discrete Element Computational Model. In: Di Benedetto, H., Baaj, H., Chailleux, E., Tebaldi, G., Sauzéat, C., Mangiafico, S. (eds) Proceedings of the RILEM International Symposium on Bituminous Materials. ISBM 2020. RILEM Bookseries, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-030-46455-4_152

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  • DOI: https://doi.org/10.1007/978-3-030-46455-4_152

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46454-7

  • Online ISBN: 978-3-030-46455-4

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