Title :
The Gradation Test Prediction Model of SMA-16 Modified Asphalt Mixture
Author :
Zhaohui Sun;Zhisong Wang;Zhanqiang Hou;Liguang Chen
Abstract :
Correlation models of fractal volume parameters and fractal dimension of SMA-16 modified asphalt mixture are established. The volume parameters of SMA-16 modified asphalt mixture can be predicted by the known fractal dimension, which is advantageous to the grading test, so as to determine the structure type of asphalt mixture. Thereby the workload can be reduced and the design efficiency can be improved.
Keywords :
"Fractals","Aggregates","Predictive models","Solid modeling","Asphalt","Road transportation","Three-dimensional displays"
Conference_Titel :
Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
DOI :
10.1109/ICITBS.2015.221
