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Rockburst Identification Method Based on Energy Storage Limit of Surrounding Rock

Author

Listed:
  • Zhiqiang Zhang

    (School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
    Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

  • Chun Luo

    (School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
    Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

  • Heng Zhang

    (School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
    Key Laboratory of Transportation Tunnel Engineering, Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China)

  • Ruikai Gong

    (School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

Rockbursts are one of the prominent problems faced by deep underground engineering. Not only do they affect the construction progress, but they also threaten the safety of construction personnel and equipment, and may even induce earthquakes. Therefore, the prediction of rockbursts has very important engineering significance for the excavation of deeply buried tunnels. In this paper, a new indicator for stability and optimization evaluation of hard, brittle surrounding rock under high geo-stresses, namely the minimum energy storage limit of surrounding rock induced by transient unloading, is proposed. In addition, the time for erecting support for tunnel excavation in the rockburst area and the impact of excavation dimensions on rockburst are investigated. The results show that transient unloading during the tunnel excavation process will reduce the energy storage limit of the rock mass. When the strain energy density of the local surrounding rock exceeds the minimum energy storage limit of the rock mass, the rock mass energy is suddenly released, and rockburst occurs. Rockburst is most likely to occur at 0.42–0.65 D away from the working face. The increasing length of a round adopted in high geo-stress areas will make the surrounding rock unstable and increase the probability of rockburst.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:343-:d:307323
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    References listed on IDEAS

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    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 & Hankyu Yoo, 2018. "Impact of Shear Zone on Rockburst in the Deep Neelum-Jehlum Hydropower Tunnel: A Numerical Modeling Approach," Energies, MDPI, vol. 11(8), pages 1-16, July.
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    Cited by:

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    2. Jiewen Pang & Xiaojie Yang & Shaoqiang Yang & Yongliang He & Jianlin Xie & Qiaoyun Han, 2023. "A Method for Dividing Rockburst Risk Zones—A Case Study of the Hegang Mining Area in China," Sustainability, MDPI, vol. 15(20), pages 1-18, October.
    3. Zhiqiang Zhang & Ruikai Gong & Heng Zhang & Wanping He, 2020. "The Sustainability Performance of Reinforced Concrete Structures in Tunnel Lining Induced by Long-Term Coastal Environment," Sustainability, MDPI, vol. 12(10), pages 1-23, May.

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