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Development of failure criterion and fatigue model to characterize the fatigue resistance of asphalt binders under controlled-stress time sweep tests
Materials and Structures ( IF 3.4 ) Pub Date : 2019-12-19 , DOI: 10.1617/s11527-019-1436-8
Hanqi Liu , Rong Luo

The fatigue resistance of asphalt binders is of great significance to the design and maintenance of asphalt pavements. This study aims to develop a fatigue model that is independent of material types for asphalt binders subjected to controlled-stress time sweep tests. The ratio of dissipated energy change (RDEC) method and the normalized stiffness ratio (NSR) method are first evaluated with regard to this objective. It is demonstrated that both methods fail to provide a fatigue model that is independent of material types. A new failure criterion is then developed through analysis of the three phases of the dynamic shear modulus versus load cycles graph. The fatigue life is defined as the load cycle corresponding to the second inflection point on such a graph. In accordance with the plateau value concept utilized in the RDEC method, a new fatigue-related parameter is defined as the RDEC value at the fatigue life determined by the NSR method. Combine the fatigue life with the new fatigue-related parameter in the form of power function yields a new fatigue model, which is then fitted to the data points of all tested asphalt binders. It is found that all of the data points are located at or close to the best-fit line with an R2 value of 0.978. Therefore, this new fatigue model has the potential of being material type independent.

中文翻译:

开发失效准则和疲劳模型来表征沥青结合料在受控应力时间扫描试验下的疲劳抗力

沥青结合料的抗疲劳性能对沥青路面的设计和养护具有重要意义。本研究旨在开发一种疲劳模型,该模型独立于经受受控应力时间扫描测试的沥青结合料的材料类型。首先针对此目标评估耗散能量变化比 (RDEC) 方法和归一化刚度比 (NSR) 方法。结果表明,这两种方法都无法提供与材料类型无关的疲劳模型。然后通过分析动态剪切模量与载荷循环图的三个阶段来制定新的失效准则。疲劳寿命定义为对应于此类图表上第二个拐点的负载循环。根据 RDEC 方法中使用的平台值概念,新的疲劳相关参数定义为 NSR 方法确定的疲劳寿命时的 RDEC 值。将疲劳寿命与幂函数形式的新疲劳相关参数相结合,产生一个新的疲劳模型,然后将其拟合到所有测试沥青结合料的数据点。发现所有数据点都位于或接近 R2 值为 0.978 的最佳拟合线。因此,这种新的疲劳模型具有与材料类型无关的潜力。发现所有数据点都位于或接近 R2 值为 0.978 的最佳拟合线。因此,这种新的疲劳模型具有与材料类型无关的潜力。发现所有数据点都位于或接近 R2 值为 0.978 的最佳拟合线。因此,这种新的疲劳模型具有与材料类型无关的潜力。
更新日期:2019-12-19
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