【摘要】 分析了沥青混合料组成结构对其疲劳性能的影响,采用BP神经网络和遗传算法相结合的方法,以疲劳性能为目标进行了沥青混合料性能优化设计,获得了4.75mm筛孔通过率、0.075mm筛孔通过率、粉胶比、空隙率与疲劳性能之间的关系,为更好地以性能为中心进行沥青混合料设计提供了参考.更多还原

【Abstract】 To prolong the fatigue life of asphalt pavement, the fatigue performance of asphalt mixtures must be improved by changing the constituent structure of mixture primarily.In this paper,the effect of constituent structure on fatigue performance of asphalt mixtures was analyzed.In succession,for the optimizing target as fatigue performance,the asphalt mixture were optimized combining BP nerve net with Genetic Algorithms.As a result,the relation between 4.75mm passing percent,0.075 mm passing percent,filling-bitumen ratio and voids percent and fatigue performance of asphalt mixture,which can be considered in asphalt mixture design based on performances.更多还原