Characterization of Strain Rate and Temperature-dependent Shear Properties of Asphalt Mixtures
Characterization of Strain Rate and Temperature-dependent Shear Properties of Asphalt Mixtures
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DOI：
10.1520/jte20140056
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发表时间：
2015-09
影响因子：
1.2
通讯作者：
Qiang Li;Xiang Ma;F. Ni;Guofen Li
中科院分区：
文献类型：
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作者：
Qiang Li;Xiang Ma;F. Ni;Guofen Li
沥青混合料的抗剪性能（粘聚力和内摩擦角）是评价沥青混合料车辙的主要材料参数。基于时间-温度叠加原理（TTSP），研究了三种混合料剪切性能的应变率和温度依赖性。通过无侧限压缩和间接拉伸动态模量试验，对沥青混合料的线粘弹性能进行了测定。通过3种温度和4种应变率下的单轴抗压强度试验和间接抗拉强度试验，基于Mohr-Coulomb破坏理论计算沥青混合料的抗剪性能。强度和剪切性能主曲线的开发使用的移动因子从动态模量测试获得。分析结果表明，无论沥青混凝土的破坏模式如何，TTSP对处于损伤状态的沥青混凝土仍然有效。围压对位移因子的影响可以通过Fillers-Moonan-Tschoegl（FMT）模型来评估。混合物强度和剪切性能表现出显著的温度和时间依赖性。改进后的十字模型可用于描述强度和粘聚力主曲线。剪切特性主曲线对优化材料设计和提高车辙预估精度具有初步的应用前景。
Shear properties (cohesion and angle of internal friction) are the main material parameters for the rutting evaluation of asphalt mixtures. The strain rate and temperature dependency of shear properties was characterized for three mixtures based on the time–temperature superposition principle (TTSP). The unconfined compression and indirect tension dynamic modulus tests were performed to measure the linear viscoelastic properties of asphalt mixtures by a modified procedure. The uniaxial compression strength test and indirect tension strength test were conducted at three temperatures and four strain rates to calculate shear properties of asphalt mixtures based on the Mohr–Coulomb failure theory. The strength and shear property master curves were developed using the shift factor obtained from the dynamic modulus tests. The analysis results show that TTSP is still valid for asphalt concrete in the damage state regardless of failure modes. The effect of confining pressure on shift factors can be evaluated by the Fillers–Moonan–Tschoegl (FMT) model. The mixture strength and shear properties exhibit a significant temperature and time dependency. The modified cross model can be used to describe the strength and cohesion master curves after slight improvement. Shear property master curves show preliminary promise for use in optimizing material design and improving the accuracy of rutting prediction.