Volume 46 Issue 1
Turn off MathJax
Article Contents
Abstract
Related Articles
XU Xiaoben, HU Zuxiang, XING Lifen, HAO Xue. Similar simulation of overburden displacement characteristics of fully mechanized mining face[J]. Journal of Mine Automation, 2020, 46(1): 85-89. DOI: 10.13272/j.issn.1671-251x.2019080047
Citation: XU Xiaoben, HU Zuxiang, XING Lifen, HAO Xue. Similar simulation of overburden displacement characteristics of fully mechanized mining face[J]. Journal of Mine Automation, 2020, 46(1): 85-89. DOI: 10.13272/j.issn.1671-251x.2019080047
shu

Similar simulation of overburden displacement characteristics of fully mechanized mining face

  • 1.

    Key Laboratory of Safety and High-efficiency Coal Mining of Ministry of Education, Anhui University of Science and Technology, Huainan 232001, China

  • 2.

    School of Energy and Safety, Anhui University of Science and Technology, Huainan 232001, China

  • 3.

    Shanxi Pingyao Xingsheng Coal Chemical Co., Ltd., Pingyao 031100, China)

More Information
    Graphical Abstract
    • Abstract
  • Taking 1232(1) fully-mechanized mining face of Xieqiao Mine of Huainan Mining Group as engineering background, overburden displacement characteristics during coal seam mining were studied by means of similar simulation experiment. The results show that with continuous advance of fully mechanized mining face, caving angle remains unchanged, caving zone and fault zone height increase gradually, and overburden are increasingly affected by mining. Peak value of overburden vertical displacement is located in the middle of goaf and decreases gradually at both ends. The overburden vertical displacement curve is symmetrical. With the increase of advancing distance of fully mechanized mining face, peak value of overburden vertical displacement increases continuously. With the increase of distance between overburden and coal seam, overburden vertical displacement decreases.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]WEI Chunxian, LI Tao, LIAN Changjin. The application of time sensitive network in coal mine[J]. Journal of Mine Automation, 2024, 50(S1): 65-68,99.
    [2]WEI Feng, MA Long. Locality-sensitive hashing K-means algorithm for large-scale datasets[J]. Journal of Mine Automation, 2023, 49(3): 53-62. DOI: 10.13272/j.issn.1671-251x.2022080018
    [3]SONG Haoming, HUANG Yourui, CHEN Zhenping, XU Shanyong, ZHANG Chao. Distributed accurate time synchronization algorithm for underground coal mine time-sensitive network[J]. Journal of Mine Automation, 2021, 47(4): 51-56. DOI: 10.13272/j.issn.1671-251x.2020090008
    [4]LI Yanmin, ZHOU Chenyang, LI Fenglian. Multi-decision tree prediction model for coal seam floor water inrush based on cost-sensitive theory[J]. Journal of Mine Automation, 2020, 46(12): 76-83. DOI: 10.13272/j.issn.1671-251x.2020060071
    [5]ZHOU Jin, WANG Leisheng. Orthogonal experimental research on sensitivity of acoustic wave velocity of similar material of coal-rock[J]. Journal of Mine Automation, 2017, 43(6): 55-59. DOI: 10.13272/j.issn.1671-251x.2017.06.013
    [6]JIA Yun-hong. Analysis of networking process of sensor network based on CANope[J]. Journal of Mine Automation, 2013, 39(11): 39-42. DOI: 10.7526/j.issn.1671-251X.2013.11.011
    [7]GUO Yi-dan, SONG Shu-zhong, MA Jian-wei, ZHU Jin-hong. Analysis and Simulation of IGBT Power Consume Based on PSpice[J]. Journal of Mine Automation, 2009, 35(10): 53-56.
    [8]LU Qing-gang, LE Xiao-rong. Sensitive Overload Protection of Motor Based on Thermal Model[J]. Journal of Mine Automation, 2009, 35(6): 46-49.
    [9]JIANG Xiu-zhu~, FENG Dong-qin~, XU Zhao~. Analysis of Real-time Performance of EPA and Its Calculatio[J]. Journal of Mine Automation, 2009, 35(4): 39-43.
    [10]LIU Zhi-cun~, SUN Lin-feng~. Study on Automatic Adjustment of Zero and Correction of Sensitivity of Mine Intelligent Methane Sensor[J]. Journal of Mine Automation, 2005, 31(3): 4-6.

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (70) PDF downloads (13) Cited by()
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1157885    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return