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

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  • 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
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    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.
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