Prediction of Low Temperature Index of Asphalt Mixture Based on Grey Model

In order to comprehensively consider the influence of low temperature performance of asphalt on the low temperature performance of asphalt mixture，and predict low temperature performance of asphalt mixture. The low temperature evaluation indexes of five kinds of asphalt and mixture were determined by bending beam rheological test and conventional low temperature test. Grey correlation analysis was introduced with the results of thermal stress restrained specimen test and a fractional grey prediction model was established. 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 errors of FGM(1，4)model for freezing temperature and turning point temperature are 1.83% and 3.71% respectively，indicating excellent accuracy and reasonable prediction results. © 2023 Tongji University. All rights reserved.