Prevention and forecasting of rock burst hazards in coal mines

Li, Dou; Lu, Cai‐Ping; Gao, Mingshi

doi:10.1016/s1674-5264(09)60109-5

Cited by 80 publications

(67 citation statements)

References 8 publications

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“…1). Rock burst or coalmine bump undermines the country's mining sector [5][6][7][8]. While extensive rock burst research has been conducted in China, such knowledge is still inadequate for the formulation of a prediction and control method that aids in the protection of people and goods [9][10][11][12][13].…”

Section: Mining In China: the Current Situationmentioning

confidence: 99%

Dynamic Analysis of Deep Mining Disaster Control in China and its Application in the Ivory Coast’s Mining Activities

Kouame¹,

Yao²,

Jiang³

et al. 2017

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Abstract.With the increasing depth of mining, rock burst is on the rise. China's deep mining industry faces such a threat. A major problem of deep mining is high ground stress, which is the major factor of rock burst. Due to the complexity of the rock burst mechanisms, complexity of induced factors as well as suddenness and randomness of rock burst occurrences, studies of rock burst prediction and control for safe mine exploitation is far from satisfying.The purpose of this paper is to examine of rock burst phenomenon in order to understand both stability in rock mechanics and the prediction of instability disasters in rock mechanics for application in the Ivory Coast mining sector with reference to the current Chinese mining industry.

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Section: Mining In China: the Current Situationmentioning

confidence: 99%

Dynamic Analysis of Deep Mining Disaster Control in China and its Application in the Ivory Coast’s Mining Activities

Kouame¹,

Yao²,

Jiang³

et al. 2017

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“…In recent years, a lot of wide and deep research jobs about detection means and prediction methods aimed at field and mining area collapse and coal mine roof and roof caving danger zone have appeared with plenty of investments coming from domestic and foreign government departments, major coal-producing enterprises, and universities. Foreign countries such as Australia and the United Kingdom use numerical simulation method to determine the rock support solution and the deformation monitor on the basis of experience analogy and theoretical analysis, including roadway geomechanical assessment, surrounding rock physical and mechanical parameters testing, the measurement of in situ stress magnitude and direction, site geological conditions survey, programming, and live performance monitoring [1]. The United States have drew up the warning regulation through measuring surrounding rock deformation state particularly.…”

Section: Prefacementioning

confidence: 99%

Method Research of Coal Mine Roof Strain Detection Based on the Fiber Bragg Grating Sensor with Thermodynamic Couple Numerical Condition

Zhang

De-Shu

2017

Advances in OptoElectronics

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In order to solve the problem that the measure precision of coal roof rock strain amount detection using traditional electric sensor is insufficient, a kind of High Sensitive Surface-Pasted Fiber Bragg Grating Strain Sensor based on rock bolting is designed for substitution. Furthermore, a kind of Reference Grating Zero-Strain method based on sensitivity matrix coefficient is proposed for solving FBG strain-temperature cross-sensitivity problem and realizing the better separation relevant to strain and temperature. It is proved that the sensitivity and measurement precision and anti-interference ability of FBG strain sensors are better than traditional electricity class sensors, being able to realize the real-time and online detection for coal roof surrounding rock strain.

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“…Coal burst in an underground coal mine is mainly expressed in the form of sudden coal pillar yield, instantaneous vibration, and causes massive destruction of macroscopic characteristics [1][2][3][4]. It has been a long-term objective of the mining community to pursue safety, while maintaining high productivity and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Numerical Assessment of the Influences of Gas Pressure on Coal Burst Liability

Zhao

Kaunda

2018

Energies

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When coal mines exploit deep seams with high-gas content, risks are encountered due to the additional high likelihood of rock bursting potential problems. The bursts of coal pillars usually lead to severe fatalities, injuries, and destruction of property, including impeding access to active mine workings underground. The danger exists given that conditions in the already highly brittle coal material can be exacerbated by high stress and high gas pressure conditions. It is thus critical to develop methods that improve current understanding about bursting liability, and techniques to forecast or prevent coal bursting in underground coal mines. This study uses field data from a deep coal mine, and numerical modeling to investigate the effects of gas pressure and mechanical compressive stresses on coal bursting liability in high gas content coal seams. The bursting energy index is adopted to determine the coal bursting liability under high gas pressure conditions. The adopted methodology uses a two-staged approach comprising investigating the influence of gas pressure on the bursting liability of coal pillar, and the influence of the gas pressure on the resulting pillar failure mode. Based on numerical simulations of coal pillars, correlations are observed between the magnitudes of gas pressures and the bursting energy index. Irrespective of pillar size, failure time is shortest when the gas pressure achieves a threshold value between 50 kPa to 70 kPa. At 50 kPa, the value of the BEI increases by 50% going from the 4 m pillar to the 6 m pillar. The value of the BEI increases by 43% going from the 6 m high pillar to the 8 m high pillar at 50 kPa. When pillars fail there is a degree of stress relief leading to a reduction in bursting liability. The results suggest that before 50 kPa, pillar failure is largely due to mechanical loading. After 50 kPa, pillar failure is largely due to excessive gas pressures.

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Prevention and forecasting of rock burst hazards in coal mines

Cited by 80 publications

References 8 publications

Dynamic Analysis of Deep Mining Disaster Control in China and its Application in the Ivory Coast’s Mining Activities

Dynamic Analysis of Deep Mining Disaster Control in China and its Application in the Ivory Coast’s Mining Activities

Method Research of Coal Mine Roof Strain Detection Based on the Fiber Bragg Grating Sensor with Thermodynamic Couple Numerical Condition

Numerical Assessment of the Influences of Gas Pressure on Coal Burst Liability

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