Affiliation:
1. School of Civil Engineering, Central South University, Changsha 410017, China
2. Power China Guiyang Engineering Corporation, Ltd., Guiyang 550081, China
Abstract
The strength and other mechanical properties of asphalt mixtures are directly affected by their size, shape, distribution, and interaction of asphalt concrete particles. Mesoscale performance is important for studying the structure of asphalt mixtures. The random particle model of asphalt concrete is one of the important topics in mesoscale research. On the basis of existing research at home and abroad, based on the asphalt mixture mix ratio, this paper further improves the algorithm of random particle generation, optimizes the algorithm of single-particle generation, ensures that the shape of particles at the time of generation conforms to the engineering practice, and forms a random particle reserve library, in order to improve the efficiency of particle delivery, facilitate the model mesh division, and provide a basis for the smooth progress of mechanical analysis.
Funder
Natural Science Foundation of Hunan province
Transportation Science and Technology Project of Hunan province
Subject
Building and Construction,Civil and Structural Engineering,Architecture
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