东南大学学报（英文版）2009，Vol.25Issue(3)：385-390,6.
考虑温度和交通特性的沥青路面短期车辙分析与预估模型
Asphalt pavement short-term rutting analysis and prediction considering temperature and traffic loading conditions
摘要
Abstract
The rotting simulation method considering temperature variance and traffic time distribution is developed through ABAQUS software.The short-term behavior of pavement rut under the effects of temperature and traffic loading is addressed.Then sensitivity analysis on the factors of temperature and traffic loading is conducted and a short-term rutting prediction model is developed.The results show that under the same conditions of temperature and the number of load repetitions, rut increases sharply with the contact pressure in a linear manner, while as for the heavy load situation, the increases likely to be more nonlinear and faster; the significant factors affecting rutting include daily maximum air temperature, daily solar radiation volume, daily minimum air temperature, tire-pavement contact pressure and the number of load repetitions.Finally, a short-term rutting prediction model reflecting the effects of air temperature and traffic loading is developed, and it can be used for prediction and pre-warning for pavement rut prevention.关键词
短期车辙/沥青路面/ABAQUSKey words
short-term rutting/ asphalt pavement/ ABAQUS分类
交通工程引用本文复制引用
黄晓明,杨毅文,李辉,刘媚..考虑温度和交通特性的沥青路面短期车辙分析与预估模型[J].东南大学学报（英文版）,2009,25(3):385-390,6.基金项目
The National High Technology Research and Development program of China (863 program) (No. 2006AA11Z110). （863 program）
