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级配各筛孔通过率的变化对沥青混合料马歇尔指数的影响存在显著差异,通过合理控制关键筛孔的通过率可以获得最优性能的沥青混合料配合比。采用L50(511)正交表进行了粗粒径(AC25)沥青混合料的马歇尔试验,并采用SPSS软件进行回归分析,分别建立了沥青混合料的马歇尔指数和体积参数与各两两筛孔间的百分用量的关系。结果表明,对沥青混合料马歇尔稳定度、流值和体积参数显著影响的因素,关键筛孔并不只是一个4.75mm筛孔,而是存在显著的交互影响,而且交互影响的筛孔并不一定是两相邻筛孔。影响显著性排列的顺序也存在一定差异。此外受1.18~2.36mm和13.2~16mm两个筛孔间的百分用量影响很小或不受影响。利用本文提出的模型,在给定的马歇尔参数下,通过编程迭代计算,可计算出满足性能要求的沥青混合料配合比,大大减少试验工作量。
The results show that there are significant differences in the Marshall index of asphalt mixture when the passing rate of gradation and each sieve is changed. The asphalt mixture with the best performance can be obtained by controlling the passing rate of critical sieve. The Marshall test of coarse grain size (AC25) asphalt mixture was carried out by L50 (511) orthogonal table, and the regression analysis was carried out by using SPSS software. The Marshall index and volume parameters of asphalt mixture were established respectively, The percentage of the relationship between the amount. The results show that the key sieve pore is not only a 4.75 mm sieve hole, but rather has a significant interaction effect, and the interactive influence of the sieve pore is not necessarily due to the factor that significantly affects the Marshall stability, flow value and volume parameter of the asphalt mixture Is two adjacent holes. There are also some differences in the order of influencing the arrangement of significance. In addition by the 1.18 ~ 2.36mm and 13.2 ~ 16mm two percentage of the amount of mesh between little or no impact. Using the model proposed in this paper, we can calculate the mix proportion of asphalt mixture meeting the performance requirements under the given Marshallian parameters, which can greatly reduce the test workload.