Microseismic Monitoring of Strainburst Activities in Deep Tunnels at the Jinping II Hydropower Station, China

2015 ◽  
Vol 49 (3) ◽  
pp. 981-1000 ◽  
Author(s):  
N. W. Xu ◽  
T. B. Li ◽  
F. Dai ◽  
R. Zhang ◽  
C. A. Tang ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Duanyang Zhuang ◽  
Ke Ma ◽  
Chunan Tang ◽  
Zhengzhao Liang ◽  
Zhenwei Wang

The TBM tunneling at the Jinping II hydropower station in Southwest China has received extensive concerns around the world because of its large engineering scale and the high rockburst risks faced in the tunnel advancement. The associated energy changes of rockbursts and control method for safe TBM tunneling are to be further investigated. A movable microseismic (MS) monitoring system was established to capture the MS events and rockbursts when the TBM excavated the headrace tunnel #1 at the Jinping II hydropower station. The spatial and temporal patterns of the energy changes in the tunnel rock masses were studied. Meanwhile, the evolution of a rockburst encountered in front of the TBM excavation face was revealed, and the performance of the top pilot tunnel method on the reduction of the rockburst risks in the headrace tunnel #1 was evaluated based on the energy changes of the surrounding rock masses. It can be concluded that energy accumulation and energy release firstly occurred in the surrounding rock masses at the southern end of the top pilot tunnel section of the headrace tunnel #1. Then, energy transference of the rock masses took place from the southern end to northwest of the top pilot tunnel giving rise to the occurrence of a moderate rockburst about 30 m in front of the tunnel. However, no rockbursts appeared when the TBM excavated through the top pilot tunnel section of the headrace tunnel #1. Therefore, the top pilot tunnel method really works in reducing the risks of rockbursts during the TBM tunneling in deep tunnels.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2698 ◽  
Author(s):  
Guangliang Feng ◽  
Manqing Lin ◽  
Yang Yu ◽  
Yu Fu

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.


2014 ◽  
Vol 18 (4) ◽  
pp. 773-793 ◽  
Author(s):  
Bing-Rui Chen ◽  
Qing-Peng Li ◽  
Xia-Ting Feng ◽  
Ya-Xun Xiao ◽  
Guang-Liang Feng ◽  
...  

2013 ◽  
Vol 71 (1) ◽  
pp. 441-450 ◽  
Author(s):  
Chuanqing Zhang ◽  
Xia-Ting Feng ◽  
Hui Zhou ◽  
Shili Qiu ◽  
Yanshuang Yang

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