Print Email Facebook Twitter Contact mechanics based solution to predict modulus of asphalt materials with high porosities Title Contact mechanics based solution to predict modulus of asphalt materials with high porosities Author Zhang, H. (TU Delft Pavement Engineering) Anupam, K. (TU Delft Pavement Engineering) Scarpas, Athanasios (TU Delft Pavement Engineering; Khalifa University of Science and Technology) Kasbergen, C. (TU Delft Pavement Engineering) Erkens, S. (TU Delft Pavement Engineering) Date 2021 Abstract Asphalt mixtures with high porosities (known as porous asphalt (PA) mixes) are becoming a popular choice among road authorities as it provides better skid resistance while also reducing tire-pavement noises. Towards the design and manufacture of PA mix pavement, the evaluation of the mechanical properties of PA mixes is of great importance. To predict the mechanical properties of PA mixes, micromechanical models have been considered as an effective tool. In most research studies, continuum-based micromechanical models, i.e. the Self-consistent model, the Mori-Tanaka model, etc. are widely used to predict the stiffness of asphalt mixtures. However, the limitation of these models is that they cannot describe the characteristics of individual particles and thus they cannot provide accurate predictions. On the other hand, the discrete-based micromechanical model (DBMM) which simulates a granular material as an assembly of bonded particles seems to be a promising alternative. Limited research studies have focused on studying the utilization and the applicability of this model for asphalt mixes. Therefore, this paper aims to propose a framework to use DBMM and to evaluate its performance in estimating a PA mix's stiffness. Based on the obtained results, both the merits and limitations of this model were highlighted. Subject Discrete-based micromechanical modelEffective modulusPorous asphalt mixes To reference this document use: http://resolver.tudelft.nl/uuid:2f27efef-f945-4f95-88e5-7ba199996e9e DOI https://doi.org/10.1016/j.matdes.2021.109752 ISSN 0264-1275 Source Materials & Design, 206, 1-18 Part of collection Institutional Repository Document type journal article Rights © 2021 H. Zhang, K. Anupam, Athanasios Scarpas, C. Kasbergen, S. Erkens Files PDF 1_s2.0_S0264127521003051_main.pdf 2.4 MB Close viewer /islandora/object/uuid:2f27efef-f945-4f95-88e5-7ba199996e9e/datastream/OBJ/view