具有预测沥青混合料刚度参数的多尺度算法

Multi-Scale Algorithm with Predicted Stiffness Parameters of Asphalt Mixture

为了验证多尺度算法对沥青混合料的弹性力学刚度参数的有效性问题,本文分析了多尺度算法及沥青混合料细观模型特性,提出了多尺度算法运用于随机复合材料的理论方法及表征。统计含不同粒径集料沥青混合料细观骨料分布特性,依据骨料分布特性规律在尺度区域内随机生成细观骨料,选取各类沥青混合料计算尺度区域,依据骨料随机分布特性在尺度区域内生成细观尺度模型。运用多尺度算法预测沥青混合料疲劳过程刚度参数,提出了计算沥青混合料疲劳损伤过程刚度参数的多尺度算法流程。结论是多尺度算法用于沥青混合料的刚度参数是有效的,该算法可以为类似的实际工程提供一定的参考意义。

In order to verify the effectiveness of multi-scale algorithm on the elastic stiffness parameters of asphalt mixture, this paper analyzes the characteristics of multi-scale algorithm and the fine model of asphalt mixture, and proposes the theoretical method and characterization of multi-scale algo-rithm for random composite materials. The distribution characteristics of fine aggregate of asphalt mixture with different particle sizes are counted, the fine aggregate is randomly generated in the scale area according to the distribution characteristics of aggregate, and the scale area of various kinds of asphalt mixture is selected to calculate the scale, and the fine scale model is generated in the scale area according to the random distribution characteristics of aggregate. A multi-scale algo-rithm is used to predict the stiffness parameters of the fatigue process of asphalt mixture. The con-clusion is that the multi-scale algorithm is effective for the stiffness parameter of asphalt mixture, and this algorithm can provide some reference significance for similar practical engineering.