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A Comparison between Static and Repeated Load Test to Predict Asphalt Concrete Rut Depth

机译:静态和重复负载试验的比较预测沥青混凝土车辙深度

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Rutting has a significant impact on the pavements' performance. Rutting depth is often used as a parameter to assess the quality of pavements. The Asphalt Institute (AI) design method prescribes a maximum allowable rutting depth of 13mm, whereas the AASHTO design method stipulates a critical serviceability index of 2.5 which is equivalent to an average rutting depth of 15mm. In this research, static and repeated compression tests were performed to evaluate the permanent strain based on (1) the relationship between mix properties (asphalt content and type), and (2) testing temperature. The results indicated that the accumulated plastic strain was higher during the repeated load test than that during the static load tests. Notably, temperature played a major role. The power-law model was used to describe the relationship between the accumulated permanent strain and the number of load repetitions. Furthermore, graphical analysis was performed using VESYS 5W to predict the rut depth for the asphalt concrete layer. The α and μ parameters affected the predicted rut depth significantly. The results show a substantial difference between the two tests, indicating that the repeated load test is more adequate, useful, and accurate when compared with the static load test for the evaluation of the rut depth.
机译:Rutting对人行道的表现产生了重大影响。车辙深度通常用作评估路面质量的参数。沥青研究所(AI)设计方法规定了最大允许的车辙深度为13mm,而Aashto设计方法规定了2.5的关键可靠性指数,其相当于15mm的平均栅径深度。在该研究中,进行静态和重复的压缩试验以评估基于(1)混合性质(沥青含量和型)之间的关系的永久菌株,以及(2)测试温度。结果表明,在重复负载试验期间,累积的塑性菌株比静态载荷试验期间的累积塑性菌株更高。值得注意的是,温度发挥了重要作用。幂律模型用于描述累积的永久应变与负荷重复次数之间的关系。此外,使用Vesys 5W进行图形分析,以预测沥青混凝土层的车辙深度。 α和μ参数显着影响预测的车辙深度。结果显示了两种测试之间的显着差异,表明重复的负载测试更具足够,有用,准确,与静载试验相比,用于评估车辙深度。

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