IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p9003-d1162675.html
   My bibliography  Save this article

Prediction and Application of the Height of Water-Conducting Fracture Zone in the Composite Roof: A Case Study of Jinxinda Coal Mine

Author

Listed:
  • Guohua Zhang

    (Key Laboratory of Mining Engineering of Heilongjiang Province College, Heilongjiang University of Science and Technology, Harbin 150022, China)

  • Wenyan Xing

    (Key Laboratory of Mining Engineering of Heilongjiang Province College, Heilongjiang University of Science and Technology, Harbin 150022, China)

  • Yanwei Duan

    (Key Laboratory of Mining Engineering of Heilongjiang Province College, Heilongjiang University of Science and Technology, Harbin 150022, China)

  • Tao Qin

    (Key Laboratory of Mining Engineering of Heilongjiang Province College, Heilongjiang University of Science and Technology, Harbin 150022, China)

  • Xiangang Hou

    (Key Laboratory of Mining Engineering of Heilongjiang Province College, Heilongjiang University of Science and Technology, Harbin 150022, China)

Abstract

The water inrush from the roof of the coal mine is closely related to the movement failure of overburdened rock and the height of the water-conducting fracture zone. In this work, based on the research background of water disaster prevention and control of the No. 2 coal seam roofs in Jinxinda Coal Mine, the stability characteristics of overlying rock in the working face are analyzed through combining theoretical analysis and numerical simulation. According to the theory of key strata, the fracture conditions of hard rock and soft rock are analyzed, and the maximum height of the water-conducting fracture zone in the 201 working face is calculated to be 35.72 m. The crack evolution law of composite roofs was simulated and analyzed using discrete element software. It was found that the basic roof (4.50 m thick) and the fine sandstone (7.64 m thick) are the two inferior key strata, and the maximum development height of the water-conducting crack is 36 m, which is basically consistent with the field measured results. Transient electromagnetic exploration technology was used to detect the working face, and nine abnormal areas were found. In order to prevent the influence of water disasters in abnormal areas during mining, drilling verification is carried out in abnormal areas. According to the analysis of drilling verification, there are no water disasters in the geophysical anomaly area, but the management of the roof after mining should be strengthened during mining. The expected research results not only enrich the rock formation control theory and roof water inrush mechanism; they also have important practical significance in guiding the safety production of a coal mine.

Suggested Citation

  • Guohua Zhang & Wenyan Xing & Yanwei Duan & Tao Qin & Xiangang Hou, 2023. "Prediction and Application of the Height of Water-Conducting Fracture Zone in the Composite Roof: A Case Study of Jinxinda Coal Mine," Sustainability, MDPI, vol. 15(11), pages 1-16, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9003-:d:1162675
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/9003/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/11/9003/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wei Gao & Yingchun Li & Qingyuan He, 2022. "Determination of Fractured Water-Conducting Zone Height Based on Microseismic Monitoring: A Case Study in Weiqiang Coalmine, Shaanxi, China," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dong, Fangying & Yin, Huiyong & Cheng, Wenju & Zhang, Chao & Zhang, Danyang & Ding, Haixiao & Lu, Chang & Wang, Yin, 2024. "Quantitative prediction model and prewarning system of water yield capacity (WYC) from coal seam roof based on deep learning and joint advanced detection," Energy, Elsevier, vol. 290(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:9003-:d:1162675. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.