Affiliation:
1. Key Laboratory of Geotechnical Engineering Infrastructure and Safety Control East China Jiaotong University Nanchang 330013 China ecjtu.jx.cn
2. State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan 430071 China cas.cn
3. Guangxi Key Laboratory of Disaster Prevention and Engineering Safety Guangxi University Nanning 530000 China gxu.edu.cn
Abstract
Abstract
Rock bursts are a serious geological disaster occurring in deep underground engineering operations, which will cause casualties and economic loss. The quantitative threshold of energy fractal dimension for immediate rock burst warning in a deep tunnel was studied. The study was conducted based on the immediate rock burst cases in the deep tunnels of Jinping Hydropower Station, China. Firstly, a fractal dimension calculation method was proposed for deep linear tunnels associated with microseismic monitoring to explore the energy fractal dimension during the 37 immediate rock bursts and their development to events of different intensities (intense and moderate events). On this basis, a mechanism analysis was undertaken to assess the distribution range and evolution of the energy fractal dimension in the development of the immediate rock bursts. Then, the energy fractal dimension, as a quantitative threshold, was taken as a criterion for judging the rock burst risk. Furthermore, the corresponding warning index and dynamic control method were established. This index and method were applied in the subsequent construction process. The results can be used as a guide to establish a dynamic warning system based on the microseismicity monitored and provide a scientific basis for the prediction, warning, and risk-control standard of rock burst disasters during excavation of deep tunnels.
Funder
Science and Technology Project of Jiangxi Provincial Department of Transportation
Guangxi Key Laboratory of Disaster Prevention and Engineering Safety
Jiangxi Provincial Department of Science and Technology
National Natural Science Foundation of China
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