IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p15650-d983140.html
   My bibliography  Save this article

Estimation of the Mean Trace Length of Discontinuities in an Underground Drift Using Laser Scanning Point Cloud Data

Author

Listed:
  • Yigai Xiao

    (State Key Laboratory of Safety and Health for Metal Mines, Maanshan 243000, China
    School of Resources and Safety Engineering, Central South University, Changsha 410083, China
    Sionsteel Maanshan General Institute of Mining Research Co., Ltd., Maanshan 243000, China)

  • Chengye Yang

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Jielin Li

    (State Key Laboratory of Safety and Health for Metal Mines, Maanshan 243000, China
    School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Keping Zhou

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Yun Lin

    (School of Resources and Safety Engineering, Central South University, Changsha 410083, China)

  • Guoquan Sun

    (State Key Laboratory of Safety and Health for Metal Mines, Maanshan 243000, China
    Sionsteel Maanshan General Institute of Mining Research Co., Ltd., Maanshan 243000, China)

Abstract

In the drifts of underground metal mines, the extraction of rock mass discontinuity characteristics from point cloud models generated with laser scanning has become the main approach. However, the exposure of discontinuities is restricted in drifts, and the size of discontinuities cannot be measured directly. Therefore, it is necessary to use a reasonable sampling tool to estimate the mean trace length of the discontinuities that are mapped in the point cloud model. In this paper, a method to estimate the mean trace length of discontinuities using a three-dimensional (3D) model of a drift (3DM) is proposed. Through the point cloud data of a drift obtained using 3D laser scanning, the information on discontinuities in the surrounding rock was extracted; then, the mean trace length was estimated using 3DEC to set sampling windows on the roof and sidewall in the 3DM. By analyzing the difference between the circular sampling window and the rectangular sampling window using simulated cases, the estimation results showed that the mean trace length obtained using circular measuring windows in the 3DM was closer to the true trace length. Finally, the method was used in a practical engineering case in Jianshan Iron Mine, Panzhihua, Sichuan, China.

Suggested Citation

  • Yigai Xiao & Chengye Yang & Jielin Li & Keping Zhou & Yun Lin & Guoquan Sun, 2022. "Estimation of the Mean Trace Length of Discontinuities in an Underground Drift Using Laser Scanning Point Cloud Data," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15650-:d:983140
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/15650/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/23/15650/
    Download Restriction: no
    ---><---

    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:14:y:2022:i:23:p:15650-:d:983140. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.