Studies on the evolution process of rockbursts in deep tunnels

Feng, Xia‐Ting; Chen, Bingrui; Li, Shaojun; Zhang, Chuanqing; Xiao, Yuzhou; Feng, Guang-Liang; Zhou, Hui; Qiu, Shili; Zhao, Zhixin; Yu, Yang; Chen, Dongfang; Ming, Huajun

doi:10.3724/sp.j.1235.2012.00289

Cited by 138 publications

(38 citation statements)

References 6 publications

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“…With the rapid development and application of MS monitoring techniques, many achievements have been made regarding our understanding of rock slopes (Lynch et al, 2005;Xu et al, 2011bXu et al, , 2012aXu et al, , 2014a, underground mining (Ge, 2005;Wang and Ge, 2008;Lesniak and Isakow, 2009;Kaiser et al, 2009;Trifu and Shumila, 2010;Young et al, 2004;Liu et al, 2013;Hudyma and Potvin, 2010;Lu et al, 2013), deep tunnels (Cai et al, 2001;Tang et al, 2011;Hirata et al, 2007;Feng et al, 2012) and the generation of electricity by hot dry rocks (Tezuka and Niitsuma, 2000). For example, Lynch et al (2005) investigated the engineering application of MS monitoring technique in two case studies and showed that the surface movements inferred from the MS data were spatially correlated with the actual surface movements.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Microseismic monitoring and stability evaluation for the large scale underground caverns at the Houziyan hydropower station in Southwest China

Dai

et al. 2015

Engineering Geology

109

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Section: Accepted Manuscriptmentioning

confidence: 99%

Microseismic monitoring and stability evaluation for the large scale underground caverns at the Houziyan hydropower station in Southwest China

Dai

et al. 2015

Engineering Geology

109

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“…He et al [207] applied data mining (DM) techniques to the database to develop predictive models for the rockburst maximum stress and rockburst risk index that required the determination of the test results. Feng et al [208] comprehensively studied the evolution process of different types of rockbursts in deep tunnels using a large number of indoor and field tests data. Liu et al [209] proposed a microseismic method for early warning the occurrence probability of rockburst risk.…”

Section: Some Comprehensive Analysis Methods Based On Statistical Thementioning

confidence: 99%

Dynamic Stability Analysis of Rockmass: A Review

Dong

Wang

et al. 2018

Advances in Civil Engineering

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ere are a series of human or natural activities, including earthquakes, explosions, and rockbursts, which have caused a number of safety accidents in geotechnical engineering. is review paper summarized the theories and methods for dynamic stability analysis of rockmass. First, numerical simulation methods, including finite element method (FEM), discrete element method (DEM), finite difference method (FDM), boundary element method (BEM), discontinuous deformation analysis method (DDA), and numerical manifold method (NMM), are summarized. Second, the laboratory experiments, containing shaking table test, split-Hopkinson pressure bar test (SHPB), improved true-triaxial test, dynamic centrifugal model test, acoustic emission (AE) technique, and dynamic infrared monitoring, are considered. ird, the in situ tests including microseismic (MS) technique, velocity tomography, stress-strain monitoring, and electromagnetic radiation monitoring are considered. Finally, some comprehensive analysis methods based on statistical theories are also provided. It is pointed out that the study foundation for the dynamic stability of rockmass is weak to explain the mechanism. So, a set of general comprehensive theories integrating the different methods, including theoretical analysis, numerical methods, laboratory experiments, and in situ tests, should be completely established. is is the most effective way for further investigation.

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“…size, density, and concentration of the microfractures, the development trend of the macrofractures may be deduced and the potential risk of the dam can be forecasted [3]. In the past two decades, as a three-dimensional, realtime monitoring technique, the MS monitoring technique has been widely applied to assess engineering hazards that involve rock slopes [3][4][5], deep mining [6][7][8][9][10][11][12][13], tunnels [14][15][16], underground powerhouse caverns [17,18], oil and gas storage [19,20], and nuclear waste disposal [21,22]. For example, Xu et al [3] established a dynamic relationship between geological structures and the spatial distribution of MS events and assessed the stability of a high rock slope based on MS activities.…”

Section: Zeuzier Arch Dam In Switzerlandmentioning

confidence: 99%

“…Hudyma and Potvin [10] proposed an engineering approach to manage seismic risks in hardrock mines. Based on the evolution laws of MS events, Feng et al [15] summarized and explored the methods to forecast rockbursts in deep tunnels. Dai et al [17] introduced the MS monitoring technique to the underground powerhouse and analysed the relationships among excavation, geological structure, and MS clustering.…”

Section: Zeuzier Arch Dam In Switzerlandmentioning

confidence: 99%

Integrated Analysis of the Formation Mechanism of Cracks in a Concrete Dam Using Microseismic Monitoring and Numerical Simulation

Wang

et al. 2016

Journal of Sensors

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The dam of Guanyinyan hydropower station is composed of a concrete gravity dam in the left bank and a rockfill dam in the right bank. During the operation of the hydropower station, several surface cracks occurred in the concrete gravity dam, which threatened the stability of the dam. To evaluate the evolution trend of the cracks and forecast the potential risk of the dam, the microseismic (MS) monitoring technique and finite-element method were used. First, the concrete three-point bending field test was performed to prove the reliability of the MS technique in monitoring the concrete cracks. The MS monitoring results were consistent with the simulation results. Then, the MS monitoring system was installed in the dam body. By analysing the MS activities before and after the impoundment, the evolution trend of the cracks and potential risk of the dam were evaluated and forecasted. The simulation results were also consistent with the monitoring results. These results can provide significant references for the operation safety of the dam and also present a new thought for the risk evaluation of similar dam engineering.

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Studies on the evolution process of rockbursts in deep tunnels

Cited by 138 publications

References 6 publications

Microseismic monitoring and stability evaluation for the large scale underground caverns at the Houziyan hydropower station in Southwest China

Microseismic monitoring and stability evaluation for the large scale underground caverns at the Houziyan hydropower station in Southwest China

Dynamic Stability Analysis of Rockmass: A Review

Integrated Analysis of the Formation Mechanism of Cracks in a Concrete Dam Using Microseismic Monitoring and Numerical Simulation

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