IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i11p2698-d363826.html
   My bibliography  Save this article

A Microseismicity-Based Method of Rockburst Intensity Warning in Deep Tunnels in the Initial Period of Microseismic Monitoring

Author

Listed:
  • Guangliang Feng

    (State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China
    Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Guangxi 530000, China)

  • Manqing Lin

    (School of Resources and Safety Engineering, Wuhan Institute of Technology, Wuhan 430071, China)

  • Yang Yu

    (National Experimental Teaching Demonstration Center of Civil Engineering, East China Jiaotong University, Nanchang 330013, China)

  • Yu Fu

    (National Experimental Teaching Demonstration Center of Civil Engineering, East China Jiaotong University, Nanchang 330013, China)

Abstract

Rockburst disasters in deep tunnels cause serious casualties and economic losses. It is a great challenge to make a warning for rockbursts in geotechnical engineering. In this work, a microseismicity-based rockburst intensity warning method is proposed that is suitable for use in deep tunnels in the initial period of microseismic (MS) monitoring. The method first involves collecting information on a sample of no more than five cases. Then, the event to be analyzed is combined with the sample events and subjected to cluster analysis. Finally, a rockburst intensity warning is generated according to the results of the cluster analysis or after a second cluster analysis. It is a comprehensive, multi-parameter rockburst intensity warning method that only needs a few rockburst cases for input which makes it suitable in the initial period of MS monitoring. The method also incorporates the novel idea of a second cluster analysis. An engineering application based on deep tunnels in the Jinping II hydropower station in Sichuan Province, China, shows that the rockburst intensity warning results based on the proposed method agree well with the actual situations in four tests carried out. The method will enrich the techniques used to warn of rockbursts based on microseismicity.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2698-:d:363826
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/11/2698/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/11/2698/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Heng Zhang & Liang Chen & Shougen Chen & Jianchun Sun & Jiasong Yang, 2018. "The Spatiotemporal Distribution Law of Microseismic Events and Rockburst Characteristics of the Deeply Buried Tunnel Group," Energies, MDPI, vol. 11(12), pages 1-21, November.
    2. Zheng-yi Wang & Lin-ming Dou & Gui-feng Wang, 2018. "Mechanism Analysis of Roadway Rockbursts Induced by Dynamic Mining Loading and Its Application," Energies, MDPI, vol. 11(9), pages 1-24, September.
    3. 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.
    4. Peng Kong & Lishuai Jiang & Jinquan Jiang & Yongning Wu & Lianjun Chen & Jianguo Ning, 2019. "Numerical Analysis of Roadway Rock-Burst Hazard under Superposed Dynamic and Static Loads," Energies, MDPI, vol. 12(19), pages 1-19, September.
    5. Hang Zhang & Chunchi Ma & Tianbin Li, 2019. "Quantitative Evaluation of the “Non-Enclosed” Microseismic Array: A Case Study in a Deeply Buried Twin-Tube Tunnel," Energies, MDPI, vol. 12(10), pages 1-17, May.
    6. Guangliang Feng & Guoqing Xia & Bingrui Chen & Yaxun Xiao & Ruichen Zhou, 2019. "A Method for Rockburst Prediction in the Deep Tunnels of Hydropower Stations Based on the Monitored Microseismicity and an Optimized Probabilistic Neural Network Model," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    7. Shengquan He & Dazhao Song & Zhenlei Li & Xueqiu He & Jianqiang Chen & Taoping Zhong & Quan Lou, 2020. "Mechanism and Prevention of Rockburst in Steeply Inclined and Extremely Thick Coal Seams for Fully Mechanized Top-Coal Caving Mining and Under Gob Filling Conditions," Energies, MDPI, vol. 13(6), pages 1-26, March.
    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. 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.
    2. Lei Li & Yujiang Xie & Jingqiang Tan, 2020. "Application of Waveform Stacking Methods for Seismic Location at Multiple Scales," Energies, MDPI, vol. 13(18), pages 1-15, September.
    3. Zhiqiang Zhang & Chun Luo & Heng Zhang & Ruikai Gong, 2020. "Rockburst Identification Method Based on Energy Storage Limit of Surrounding Rock," Energies, MDPI, vol. 13(2), pages 1-24, January.
    4. Guangliang Feng & Guoqing Xia & Bingrui Chen & Yaxun Xiao & Ruichen Zhou, 2019. "A Method for Rockburst Prediction in the Deep Tunnels of Hydropower Stations Based on the Monitored Microseismicity and an Optimized Probabilistic Neural Network Model," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    5. Chun Yang & Keping Zhou & Zhichao Li & Xin Xiong & Yun Lin & Zengwu Luo, 2020. "Numerical Modeling on the Fracturing and Energy Evolution of Large Deep Underground Openings Subjected to Dynamic Disturbance," Energies, MDPI, vol. 13(22), pages 1-18, November.
    6. Bo Wang & Sitao Zhu & Fuxing Jiang & Jinhai Liu & Xiaoguang Shang & Xiufeng Zhang, 2020. "Investigating the Width of Isolated Coal Pillars in Deep Hard-Strata Mines for Prevention of Mine Seismicity and Rockburst," Energies, MDPI, vol. 13(17), pages 1-18, August.
    7. 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.
    8. Guo, Yong & Yang, Fuqiang, 2023. "Mining safety research in China: Understanding safety research trends and future demands for sustainable mining industry," Resources Policy, Elsevier, vol. 83(C).
    9. Houqiang Yang & Changliang Han & Nong Zhang & Changlun Sun & Dongjiang Pan & Minghui Dong, 2019. "Stability Control of a Goaf-Side Roadway under the Mining Disturbance of an Adjacent Coal Working Face in an Underground Mine," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    10. Zhengzheng Xie & Nong Zhang & Fanfei Meng & Changliang Han & Yanpei An & Ruojun Zhu, 2019. "Deformation Field Evolution and Failure Mechanisms of Coal–Rock Combination Based on the Digital Speckle Correlation Method," Energies, MDPI, vol. 12(13), pages 1-14, June.
    11. Guojun Zhang & Quansheng Li & Zhuhe Xu & Yong Zhang, 2022. "Roof Fractures of Near-Vertical and Extremely Thick Coal Seams in Horizontally Grouped Top-Coal Drawing Method Based on the Theory of a Thin Plate," Sustainability, MDPI, vol. 14(16), pages 1-22, August.
    12. Shifan Zhao & Mingshi Gao & Dong Xu & Xin Yu & Hongchao Zhao, 2023. "Fracture Characteristics of Thick-Roof Coal Roadway Subjected to Duplicated Shock Waves," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    13. Haiping Zhang & Siqi Li & Zhuo Chen & Yeshuang Tong & Zhuolun Li & Siqi Wang, 2022. "Fracture Mechanism of Crack-Containing Strata under Combined Static and Harmonic Dynamic Loads Based on Extended Finite Elements," Energies, MDPI, vol. 15(21), pages 1-14, October.
    14. Aleksander Frejowski & Jan Bondaruk & Adam Duda, 2021. "Challenges and Opportunities for End-of-Life Coal Mine Sites: Black-to-Green Energy Approach," Energies, MDPI, vol. 14(5), pages 1-18, March.
    15. Feng Cui & Tinghui Zhang & Xingping Lai & Jiantao Cao & Pengfei Shan, 2019. "Study on the Evolution Law of Overburden Breaking Angle under Repeated Mining and the Application of Roof Pressure Relief," Energies, MDPI, vol. 12(23), pages 1-20, November.
    16. Jianju Ren & Wenlong Zhang & Hongmei Zhang & Honggang Kou, 2022. "Occurrence Location and Propagation Inconformity Characteristics of Vibration Events in a Heading Face ofa Coal Mine," IJERPH, MDPI, vol. 19(22), pages 1-12, November.
    17. Xiaoguang Shang & Sitao Zhu & Fuxing Jiang & Jinhai Liu & Xiufeng Zhang & Xiang Sun & Chao Wang & Yang Chen & Bo Xu & Jiajie Li & Xiaocheng Qu, 2023. "Study on Mine Earthquakes Mechanism and Ground Vertical Well Hydraulic Fracturing Shock Absorption in Thick Hard Rock Mine," Sustainability, MDPI, vol. 15(6), pages 1, March.
    18. Zhiqiang Zhang & Peng Xu & Heng Zhang & Kangjian Zhang, 2019. "Dynamic Change Characteristics of Groundwater Affected by Super-Long Tunnel Construction in the Western Mountainous Area of China," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    19. Weizhang Liang & Asli Sari & Guoyan Zhao & Stephen D. McKinnon & Hao Wu, 2020. "Short-term rockburst risk prediction using ensemble learning methods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1923-1946, November.
    20. 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.

    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:jeners:v:13:y:2020:i:11:p:2698-:d:363826. 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.