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Shock and Vibration - Volume 2015 2015, Article ID 685437, 17 pages -

Research Article

Institute of Rock Instability and Seismicity Research, Dalian University of Technology, Dalian, Liaoning 116024, China

School of Mining Engineering, University of Science and Technology Liaoning, Anshan, Liaoning 114051, China

Received 6 April 2015; Revised 10 July 2015; Accepted 9 August 2015

Academic Editor: Vadim V. Silberschmidt

Copyright © 2015 Qun Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The objective of this study was to investigate the rockburst nucleation process and provide a theoretical basis for its prediction. A microseismic monitoring system was established in deep tunnels at Jinping II Hydropower Station. Using a digital multichannel microseismic monitoring system and monitoring technique, twenty-four-hour continuous real-time monitoring of macroscopic was realized in diversion tunnel #3. Substantial microseismic monitoring data were acquired to study the macroeconomic instability failure mechanisms in the rockburst nucleation process in terms of dynamic crack propagation, including microcrack initiation, development, propagation, shear zone formation, and coalescence. The intrinsic relationship between the spatiotemporal evolution patterns of the microseismicity and the rockbursts was preliminarily explored. The monitoring and analysis results indicated that the driving source of certain rockbursts could be expressed as the combined results of the local rockburst energy and the transfer energy; that is, . Strong rockbursts can induce the recurrence of rockbursts in nearby locations. In addition, a comparative analysis of the formation and failure mode of molds in underground caverns was performed using the finite element analysis program RFPA. Based on this engineering study, we verified the feasibility of applying microseismic monitoring to rockbursts in deep rock tunnels.

Autor: Qun Yu, Chun-An Tang, Liancong Li, GuanWen Cheng, and Lie-Xian Tang



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