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为更为准确地确定SMA混合料最佳沥青用量,利用CT技术识别SMA混合料各组分内部结构特征,分析SMA混合料的马歇尔设计方法中主要体积参数与其内部结构各组分特征的关系,考虑混合料内部结构均匀性,建立SMA混合料最佳沥青用量确定方法,并选用3种混合料类型(SMA-13、SMA-16和SMA-20)对该方法的有效性进行验证.结果表明,基于CT技术获取不同沥青用量条件下的SMA混合料空隙率可以较好地表征通过密度试验所得SMA混合料空隙率,并以此分析计算得到的间隙率和饱和度与马歇尔体积设计方法中的差值平均值分别为0.35%和1.45%;采用建立的最佳沥青用量确定方法与根据现行马歇尔设计方法分析得到的SMA-13、SMA-16和SMA-20三种混合料最佳沥青用量差值分别为0.08%、0.18%和0.15%,表明了该方法的有效性.
In order to determine the optimal asphalt content of SMA mixture more accurately, the internal structure of each component of SMA mixture was identified by CT technology. The relationship between the main volume parameters in Marshall design of SMA mixture and the characteristics of each component of its internal structure was analyzed. Considering the homogeneity of the internal structure of the mixture, the optimum asphalt content of SMA mixture was established, and the effectiveness of this method was verified by three kinds of mixture types (SMA-13, SMA-16 and SMA-20) , The void fraction of SMA mixture obtained under different asphalt content based on CT technology can well characterize the voidage of SMA mixture obtained through density test. Based on this analysis, the calculated voidage and saturation are in good agreement with those of the Marshall volumetric design method The average values of the difference are 0.35% and 1.45% respectively. The optimal asphalt content is determined by the best method of determining the asphalt content and the best asphalt content of the SMA-13, SMA-16 and SMA-20 mixture analyzed by the current Marshall design method The values were 0.08%, 0.18% and 0.15%, respectively, indicating the effectiveness of this method.