Inner Mongolia University
Inner Mongolia Natural Science Foundation Support Project (2020MS01013); Inner Mongolia Transportation Science and Technology Support Project (222000-5206034); The National Natural Science Foundation of China Support Project (11562013)
In order to comprehensively consider the influence of low-temperature performance of asphalt on low-temperature performance of asphalt mixture, and predict low-temperature performance of asphalt mixture based on low-temperature performance of asphalt and mixture. The low temperature evaluation indexes of five kinds of asphalt and mixture were determined by bending beam rheological test, conventional low temperature test and TSRST. They were carried out grey correlation analysis, and were established fractional grey prediction model. The results show that the low temperature continuous classification temperature, glass transition temperature, brittle point, creep rate and dissipation energy ratio at four temperatures have great influence on the low temperature performance of asphalt mixture. The error of FGM (1,4) model for freezing temperature and turning point temperature is 1.83% and 3.71% respectively, indicating that the accuracy is excellent and the prediction result is reasonable.