• DocumentCode
    1830872
  • Title

    Simulation of asphalt mixtures based on digital image using discrete element method

  • Author

    Zhang, Hongchao ; Wang, Jiajun ; Wang, Jian ; Guo, Chuan

  • Author_Institution
    Sch. of Transp. Eng., Tongji Univ., Shanghai, China
  • Volume
    5
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    32
  • Lastpage
    36
  • Abstract
    This paper firstly obtain coordinate geometry which can describe the internal structure of asphalt mixture using digital image processing technology, and then reconstruct model to simulate uniaxial compression test as well as analyze micromechanical properties after processing coordinate obtained using discrete element software. Constitutive laws within model are simplified as the interactions at contacts of discrete elements within a coarse aggregate, between coarse aggregates, within asphalt mastic, and between coarse aggregates and mastic. Each contact is described using a stiffness model, a bonding model and a slip model. The corresponding program are written to adjust above constitutive model parameters according to fish language. The best combination of microscale parameters is found after analyzing simulation results, it is observed that simulating constitutive behavior of asphalt mixtures using discrete element method is feasible.
  • Keywords
    asphalt; discrete event simulation; geometry; image processing; mechanical engineering computing; micromechanics; asphalt mixtures; coordinate geometry; digital image processing; discrete element method; discrete element software; micromechanical properties; simulation; uniaxial compression test; Aggregates; Asphalt; Finite element methods; Load modeling; Mathematical model; Pixel; asphalt mixture; digital image processing; discrete element method; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5914424
  • Filename
    5914424