• DocumentCode
    736907
  • Title

    Meso-Structure Quantitative Research about Coals Based on the Digital Image Processing Technology

  • Author

    Jinhui, Liu ; Nan, Wu ; Zhende, Zhu ; Chunmei, Liu ; Qi, Liu

  • fYear
    2015
  • fDate
    13-14 June 2015
  • Firstpage
    644
  • Lastpage
    647
  • Abstract
    The coals of rich in cracks have low strength, large deformation and difficult to support, obtain triaxial compression test parameters by RMT-150B rock mechanics and concrete mechanical testing machine, the micro-structure of coals damage photos on coals samples fracture obtained by scanning electron microscope observations. Use the fissures information extraction software developed from MATLAB platform. This paper put forward a quantitative research idea to extract fracture morphology and the two-dimensional geometry of the coals micro-structure based on image enhancement and regional growing algorithm. At the same time, make a statistical analysis of coals samples triaxial compression fracture azimuth, width, length and other information. We obtain coals´s strength and elastic modulus is lower and the presence of a large number of initial damage, with significant anisotropy and in homogeneity.
  • Keywords
    Coal; Digital images; Image coding; MATLAB; Rocks; Scanning electron microscopy; SEM; coal; meso-structure; region growing method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
  • Conference_Location
    Nanchang, China
  • Print_ISBN
    978-1-4673-7142-1
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2015.160
  • Filename
    7263654