Rockburst prediction and early warning for a highway tunnel excavated by TBM based on microseismic monitoring

被引:0
|
作者
Zhao, Jian [1 ]
Huang, Dan [1 ]
Cai, Yongshun [1 ]
Huang, Dengxia [2 ]
Zhou, Xiaolong [2 ]
Wang, Fei [3 ]
Pan, Yuxiang [4 ]
机构
[1] BGRIMM Technol Grp, Inst Min Engn, Beijing, Peoples R China
[2] China Commun Construct Grp Co Ltd, China First Highway Engn Co Ltd, Beijing, Peoples R China
[3] Northeastern Univ, Key Lab, Minist Educ Safe Min Deep Met Mines, Shenyang, Peoples R China
[4] TU Bergakademie Freiberg, Geotech Inst, Freiberg, Germany
关键词
rockburst prediction; microseismic monitoring; cloud service platform; rockburst risk level; prediction criteria; HYDROPOWER STATION; RADIATED ENERGY; PROSPECTS; MECHANISM; LOCATION; LONG;
D O I
10.3389/feart.2024.1391509
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
A newly developed microseismic (MS) monitoring system was employed in the Tianshan-Shengli tunnel to detect MS activities and then predict and provide early warning of rockburst disasters. The system not only has the advantages of accuracy of artificial analysis but also real-time analysis and warnings. The positioning accuracy for MS events is approximately 5-10 m. A new sensor installation scheme was proposed to achieve fast sensor installation and recovery, taking advantage of semicircular steel tubes and hose clamps. In addition, the rockburst risk level prediction criteria adopted multiple evaluation indexes such as MS event energy and moment magnitude and number, and it revealed that the evolution of maximum energy has a good positive correlation with that of maximum moment magnitude through analyzing the monitored MS events. It also showed that the rockburst generally occurred 2 days after the rock mass was exposed by the tunnel boring machine (TBM) tail shield and belonged to the delayed rockburst category, according to the field statistical results. The preliminary application cases indicated that the rockburst prediction and early warning based on MS monitoring agree with the site survey results. Therefore, the new MS monitoring system is a reliable tool for predicting and providing early warnings of rockburst disasters.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] APPLICATION OF MICROSEISMIC MONITORING TO STRESS AND ROCKBURST PREDICTION
    CALDER, PN
    ARCHIBALD, JF
    KORENBERG, M
    MOROZ, B
    SEMADENI, T
    YEO, TK
    MCILROY, P
    CIM BULLETIN, 1986, 79 (887): : 73 - 73
  • [22] An evaluation and early warning method for rockburst based on EMS microseismic source parameters
    Ma Chun-chi
    Li Tian-bin
    Zhang Hang
    Wang Jian-feng
    ROCK AND SOIL MECHANICS, 2018, 39 (02) : 765 - 774
  • [23] PREDICTION OF ROCKBURST IN THE NIBA MOUNTAIN EXPRESS HIGHWAY TUNNEL
    Deng, Lin
    Deng, Rong-Gui
    Yuan, Bao-Jun
    Shao, Jiang
    CONTROLLING SEISMIC HAZARD AND SUSTAINABLE DEVELOPMENT OF DEEP MINES: 7TH INTERNATIONAL SYMPOSIUM ON ROCKBURST AND SEISMICITY IN MINES (RASIM7), VOL 1 AND 2, 2009, : 1475 - 1482
  • [24] Rockburst and microseismic activity in a lagging tunnel as the spacing between twin TBM excavated tunnels changes: A case from the Neelum-Jhelum hydropower project
    Li, Peng -Xiang
    Chen, Bing-Rui
    Xiao, Ya-Xun
    Feng, Guang-Liang
    Zhou, Yang-Yi
    Zhao, Jin-Shuai
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2023, 132
  • [25] Highly sensitive fiber optic microseismic monitoring system for tunnel rockburst
    Li, Shili
    Ni, Yong
    Wang, Yu
    Shi, Jinhui
    Zhang, Shichao
    Ge, Qiang
    Zhang, Gang
    Guang, Dong
    Wu, Xuqiang
    Tang, Chunan
    Yu, Benli
    MEASUREMENT, 2022, 189
  • [26] Dynamic early warning of rockburst using microseismic multi-parameters based on Bayesian network
    Li, Xiang
    Mao, Haoyu
    Li, Biao
    Xu, Nuwen
    ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2021, 24 (03): : 715 - 727
  • [27] Application of Grey Catastrophe Theory and Microseismic Monitoring System in Early Warning for Tunnel Landslide
    Luo P.
    Li C.
    Bo L.
    Journal of Engineering Science and Technology Review, 2021, 14 (02) : 192 - 197
  • [28] Analysis of Microseismic Characteristic and Rockburst Risk during TBM Excavation under Deeply Burried Tunnel
    Chen, Bingrui
    Feng, Guangliang
    Li, Qingpeng
    Feng, Xiating
    Zhao, Zhouneng
    DISASTER ADVANCES, 2013, 6 : 122 - 128
  • [29] A Microseismicity-Based Method of Rockburst Intensity Warning in Deep Tunnels in the Initial Period of Microseismic Monitoring
    Feng, Guangliang
    Lin, Manqing
    Yu, Yang
    Fu, Yu
    ENERGIES, 2020, 13 (11)
  • [30] Investigation on Characteristics and Prevention of Rockburst in a Deep Hard and Soft Compound Stratum Tunnel Excavated Using TBM
    Jiang, Bangyou
    Ding, Mingjun
    Li, Wenshuai
    Gu, Shitan
    Ji, Hongguang
    SUSTAINABILITY, 2022, 14 (06)