A Microseismicity-Based Method of Rockburst Intensity Warning in Deep Tunnels in the Initial Period of Microseismic Monitoring

Feng, Guang-Liang; Lin, Manqing; Yu, Yang; Fu, Yu

doi:10.3390/en13112698

Cited by 11 publications

(7 citation statements)

References 32 publications

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“…After a certain recovery period, they start to be affected by frequent mine earthquakes. Based on the geological conditions of the mine, it is necessary to derive the effect of the dynamic wave on the roadway in the event of a rock burst by numerical simulation and equations [14,15].…”

Section: Introductionmentioning

confidence: 99%

Mechanisms and Models of Attenuation of Shock Waves through Rock Formations

Zhao

Gao

et al. 2023

Applied Sciences

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Rock bursts have become one of the worst disasters in deep mines, and the safety of roadways is affected by stress waves generated when hard roofs fracture. Pictures of a mine site were collected using the Hujiahe mine as a case study. The damage characteristics of the roadway were analyzed and the damage process was reproduced using numerical simulation software. The attenuation characteristics of the strength of the shock wave as it passes from the impact shock source to the roadway are summarized. Based on the stress wave transmission mechanism and geological characteristics, a “shock wave attenuation model through rock formations“ was established to analyze the transmission characteristics of impact stress under the composite roof structure. The strength criterion and energy balance equation for roadway damage under the action of shock waves are derived. This work provides a reference for roadway support under similar conditions and can be generalized and applied elsewhere.

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Section: Introductionmentioning

confidence: 99%

Mechanisms and Models of Attenuation of Shock Waves through Rock Formations

Zhao

Gao

et al. 2023

Applied Sciences

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“…Those elastic waves can be effectively monitored by microseismic monitoring systems. Therefore, these systems are widely used to monitor the stability of rock masses in underground engineering projects to ensure production and construction safety, such as in the fields of road and railway transportation, hydropower engineering, safety monitoring of energy storage, mining resource development and nuclear power [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Method for Identifying and Forecasting Mining-Induced Earthquakes Based on Spatiotemporal Characteristics of Microseismic Activities in Fankou Lead/Zinc Mine

Deng

Wen

et al. 2022

Minerals

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The risks associated with underground mining at Fankou Lead/Zinc Mine in South China are growing due to the large-scale mining activities there. To recognize mining-induced earthquakes and assess the risk per mining level, a microseismic monitoring system, which is used to record microseismic events, is installed at multiple mining levels in Fankou Lead/Zinc Mine. The purpose of this study is to identify mining-induced earthquakes and to evaluate the risk per mining level by analyzing the spatiotemporal characteristics of microseismic activities in the Fankou Lead/Zinc Mine. In this study, the Gutenberg-Richter (G-R) relationship is applied to compute the b-value, which is used to obtain the maximum magnitude (M (max)) of microseismic event that probably occurs at each mining level. Then, the evaluation of the recurrence period for M (max) and the probability of the microseismic event with the magnitude M (max) is carried out and the M (max) at each mining level is determined based on the recording period of microseismic events. The results show that factors such as the maximum rock vibration velocity, source parameters, displacement, microseismic waveform and energy ratio (ES/EP) can be used to distinguish whether a recorded microseismic event is mining-induced earthquake. Additionally, we propose a method to assess the possibility of mining-induced earthquake at each mining level based on M (max) and predict the recurrence time of microseismic event with the magnitude M (max). The of two years results of microseismic events monitoring demonstrate that the current study is promising for identifying mining-induced earthquakes, assessing the risk of mining-induced earthquakes, predicting the potential maximum microseismic event in a region and estimating its recurrence period and its probability in the Fankou Lead/Zinc Mine.

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“…From 2000 to 2008, based on the occurrence of rockbursts in Taipingyi hydropower station, Ertan hydropower station, Erlangshan tunnel, Qinling tunnel, Dongguashan copper mine, Linglong gold mine, Mentougou coal mine, et al a series of researches have been carried out on the monitoring, occurrence process, evolution law, mechanism and early warning of rockburst, and a series of achievements were obtained [2][3]. From 2008, the research on rockburst in this stage not only involved a wide range of methods and means, but also made great progress in the research on the characteristics, types and mechanisms of rockburst, microseismic monitoring (MS) method, early warning and prevention and control methods of rockburst [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Rockburst Monitoring and Warning in Complex Geological Environment: Case Study in Deep Tunnels in Himalaya

Feng

Chen

Xiao

et al. 2022

Advances in Transdisciplinary Engineering

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Geological disaster rockburst occurred frequently in deep and high stress engineering, which affects the safe and efficient construction of the project seriously. A successful rockburst monitoring and warning example is of great significance to rockburst risk control. In this paper, a case study of rockburst monitoring and warning in deep tunnels with complex geological environment in Himalaya was given. The complex geological environment background of the project, implementation of rockburst monitoring, microseismicity monitored, microseismicity in the rockburst development process, rockburst warning method and warning results in the deep tunnels were described. The successful application of rockburst monitoring and warning under the complex geological environment in Himalaya shows that it is feasible for rockburst risk mitigation. The result will be helpful for rockburst monitoring, warning and risk mitigation in similar deep and complex engineering.

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A Microseismicity-Based Method of Rockburst Intensity Warning in Deep Tunnels in the Initial Period of Microseismic Monitoring

Cited by 11 publications

References 32 publications

Mechanisms and Models of Attenuation of Shock Waves through Rock Formations

Mechanisms and Models of Attenuation of Shock Waves through Rock Formations

Method for Identifying and Forecasting Mining-Induced Earthquakes Based on Spatiotemporal Characteristics of Microseismic Activities in Fankou Lead/Zinc Mine

Rockburst Monitoring and Warning in Complex Geological Environment: Case Study in Deep Tunnels in Himalaya

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