Open AccessThe High Temperature Performance Prediction Model of AC-13 Asphalt Mixture
Author(s) -
Zhaohui Sun,
Huaizhi Wang,
Gang Chen,
Guangpeng Zhang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/562/1/012170
Subject(s) - asphalt , stability (learning theory) , fractal dimension , fractal , materials science , thermodynamics , mathematics , computer science , composite material , physics , mathematical analysis , machine learning
12 sets of AC-13 asphalt mixture were designed and tested for high temperature stability. According to fractal theory and dynamic stability test results, the correlation equations of fractal dimension and dynamic stability index were established. Using this equation to predict high temperature stability of AC-13 asphalt mixture, it is expected reducing the amount of test, it can provide a reference for engineering design.