Performance Optimization of Hot Mix Recycled Asphalt Mixture Based on Particle Swarm Optimization Algorithm

Hot mix reclaimed asphalt mixtures are green asphalt pavement materials that can effectively recycle reclaimed asphalt, while being able to save resources and energy. However, the impact of different ratios of recycled materials on the properties of the mixture are complex and need further research and optimization. This article utilizes a particle swarm optimization algorithm to assess and optimize the performance of hot mix recycled asphalt mixtures, and obtains the porosity data of the hot mix recycled asphalt mixture at different proportions of recycled materials (10%, 20%, 30%, 40%) from experimental testing. Then, this article utilizes a particle swarm optimization algorithm to iteratively optimize these to identify optimum proportions of communicating materials with the lowest porosity. Finally, after particle swarm optimization, the optimal proportion of hot mix recycled asphalt mixture is 30%, which reduces the average porosity of the hot mix recycled asphalt mixture from 4.63% to 3.84%, indicating a significant improvement in the density and crack resistance of the mixture.