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利用有限元程序ABAQUS分析了沥青路面车辙随温度和交通变化的关系,重点分析了这种关系的短期发生过程.分析过程中进行了路面车辙的温度和交通敏感性分析,并进行了针对其短期发生过程的预估模型研究.结果表明:在同样的交通和温度环境下,车辙深度随车辆轮胎压力呈线性增加特性,而在重载作用下则呈非线性特性;影响路面车辙的主要因素有日最高温度、日辐射量、日最低温度、轮胎压力以及荷载作用次数.最后给出了反映温度和交通特性的沥青路面短期车辙预估模型,该模型可以用于车辙的预估和预警.
Using the finite element program ABAQUS, the relationship between the rutting of asphalt pavement and the traffic changes was analyzed, and the short-term occurrence of the relationship was analyzed.The temperature and traffic sensitivity of pavement rutting were analyzed and the short-term The results show that under the same traffic and temperature conditions, the depth of rutting increases linearly with the tire pressure of a vehicle, while it shows a nonlinear characteristic under heavy load. The main factors affecting the rutting of the road surface are Day maximum temperature, daily radiative quantity, daily minimum temperature, tire pressure and the number of loading actions.At last, a short-term rut forecast model of asphalt pavement reflecting temperature and traffic characteristics is given, which can be used for the prediction and early warning of rutting.