Repartitioning-based aggregate generation method for fast modeling 3D mesostructure of asphalt concrete

A repartitioning-based aggregate generation method is proposed to establish the three-dimensional mesostructure models of asphalt mixture. In this method, a stepwise partitioning procedure is proposed to repeatedly partition the specimen space into Voronoi cells with high variation in shape and size. The number of the Voronoi cells is determined by dividing the volume of the specimen space by the volume of a so-called equivalent sphere; in this way, the sizes of the generated Voronoi cells can be controlled around the sizes of the equivalent spheres. Also, a reshaping-classifying-picking procedure is developed and applied to the Voronoi cells to obtain very realistic aggregates with expected gradations to form final mesostructures. The effectiveness of the repartitioning-based aggregate generation method was vali-dated by using the aggregate gradation and complex modulus test data of asphalt concrete. Compared with several recent aggregate generation methods, the proposed method can faster generate three-dimensional mesostructures with large dimension and high aggregate content. Besides, it can explain quantitatively the effects of mesostructural properties on macromechanical characteristics of asphalt concrete, thus providing an efficient and robust tool for advancing material design of asphalt concrete.(c) 2023 Elsevier Ltd. All rights reserved.

Automated summary

A repartitioning-based aggregate generation method is proposed to establish three-dimensional mesostructure models of asphalt mixture. This method incorporates a stepwise partitioning procedure to control the sizes and shapes of Voronoi cells, resulting in realistic aggregates with expected gradations. Compared with other methods, this approach is faster in generating large-scale mesostructures with high aggregate content and can quantitatively explain the effects of mesostructural properties on the mechanical characteristics of asphalt concrete.