IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4232-d1081481.html
   My bibliography  Save this article

Predicting the Accuracy and Applicability of Micro-Seismic Monitoring of Rock Burst in TBM Tunneling Using the Data from Two Case Studies in China

Author

Listed:
  • Yalei Yang

    (School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

  • Lijie Du

    (Collaborative Innovation Center for Performance and Safety of Large-Scale Infrastructure, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

  • Qingwei Li

    (School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China)

  • Xiangbo Zhao

    (Xinjiang Irtysh River Investment and Development (Group) Co., Ltd., Urumqi 830002, China)

  • Weifeng Zhang

    (PowerChina Chengdu Survey and Design Research Institute Co., Ltd., Chengdu 610072, China)

  • Zhiyong Liu

    (PowerChina Chengdu Survey and Design Research Institute Co., Ltd., Chengdu 610072, China)

Abstract

Rock burst in TBM construction will have a great influence on the construction safety and construction speed. At the same time, there are few practical projects using micro-seismic monitoring, and the accuracy of prediction is not satisfactory. Therefore, this paper was based on a large number of micro-seismic monitoring reports and data from two hard rock TBM projects in China. The actual rock burst situation was continuously tracked and recorded on site for comparison and verification. The accuracy of rock burst monitoring was statistically analyzed from the aspects of rock burst grade and location. The applicability was analyzed from the perspective of rock burst construction safety, advance rate, and prevention measures. It was concluded that the accuracy of micro-seismic monitoring increased with the increase in the rock burst risk level. The precision location of Grade I and Grade II rock burst could be realized basically, while Grade III rock burst prediction was relatively low. It is suggested that micro-seismic monitoring should be adopted when there are Grade I and II rock burst risks. The research results will have important guiding significance for the TBM construction of deep-buried tunnels in the future.

Suggested Citation

  • Yalei Yang & Lijie Du & Qingwei Li & Xiangbo Zhao & Weifeng Zhang & Zhiyong Liu, 2023. "Predicting the Accuracy and Applicability of Micro-Seismic Monitoring of Rock Burst in TBM Tunneling Using the Data from Two Case Studies in China," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4232-:d:1081481
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4232/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/5/4232/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdul Muntaqim Naji & Hafeezur Rehman & Muhammad Zaka Emad & Saeed Ahmad & Jung-joo Kim & Hankyu Yoo, 2019. "Static and Dynamic Influence of the Shear Zone on Rockburst Occurrence in the Headrace Tunnel of the Neelum Jhelum Hydropower Project, Pakistan," Energies, MDPI, vol. 12(11), pages 1-17, June.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Aoran Li & Guangzhen Cui & Peng Wang & Xinjie Wang & Zhengtao Hong & Jiangrong Kong & Jiaguang Kan, 2023. "Deformation and Failure Laws of Surrounding Rocks of Coal Roadways under High Dynamic Load and Intelligent Prediction," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    2. Jianyu Li & Hong Li & Zheming Zhu & Ye Tao & Chun’an Tang, 2021. "Numerical Study on Damage Zones Induced by Excavation and Ventilation in a High-Temperature Tunnel at Depth," Energies, MDPI, vol. 14(16), pages 1-20, August.
    3. Hanna Michalak & Paweł Przybysz, 2021. "The Use of 3D Numerical Modeling in Conceptual Design: A Case Study," Energies, MDPI, vol. 14(16), pages 1-21, August.
    4. Guangliang Feng & Manqing Lin & Yang Yu & Yu Fu, 2020. "A Microseismicity-Based Method of Rockburst Intensity Warning in Deep Tunnels in the Initial Period of Microseismic Monitoring," Energies, MDPI, vol. 13(11), pages 1-15, May.

    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:5:p:4232-:d:1081481. 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.