• DocumentCode
    3732174
  • Title

    The Gradation Test Prediction Model of SMA-16 Modified Asphalt Mixture

  • Author

    Zhaohui Sun;Zhisong Wang;Zhanqiang Hou;Liguang Chen

  • fYear
    2015
  • Firstpage
    873
  • Lastpage
    875
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICITBS.2015.221
  • Filename
    7384167
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3732174