Microseismic multi-parameter characteristics of rockburst hazard induced by hard roof fall and high stress concentration

Lu, Cai‐Ping; Liu, Guangjian; Yang, Liu; Zhang, Nong; Xue, Jianyang; Zhang, Lei

doi:10.1016/j.ijrmms.2015.02.005

Cited by 227 publications

(85 citation statements)

References 32 publications

(31 reference statements)

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“…The technology in vibration instrumentation and measurements has advanced significantly over past four decades, particularly in the area of industrial machinery health monitoring. Our study focuses on the vibration caused by rock damage, and a research for the microseismic frequency-spectrum of rock deformation, fracturing, and failure has suggested that the low-frequency components (<25 Hz) of monitoring signals are the key factors for rock damage assessment [17,18]. The sensitivity of sensors used for measuring these parameters varies with the frequency of the vibration, and the common understanding is to use amplitude sensors to pick up low-frequency signals, velocity sensors in the middle ranges, and accelerometers at higher frequencies (accelerometers mentioned here mainly for the piezoelectric accelerometer).…”

Section: Monitoring Methodmentioning

confidence: 99%

MEMS Inertial Sensor for Strata Stability Monitoring in Underground Mining: An Experimental Study

Zhang

et al. 2018

Shock and Vibration

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To investigate the fracture and deformation characteristics of the strata in underground mining as well as the effectiveness and sensitivity of the MEMS inertial sensor for strata stability monitoring, a low cost, small size, and easy implementation inertial MEMS sensor module was redeveloped. Sensor modules were installed on roof strata in an underground mining equivalent material simulation experiment. Then, monitoring signal of two modules near the middle and end section of caving strata was processed. The processed signal presents stepped change, and each step consists a vibration stage and a stable stage. Further analysis of each stage, a strategy to estimate the deformation and stability of strata, can be reached: the duration of each vibration stage and complete stage with rising trend indicates that the deformation of strata is growing to the ultimate state. In this study, this method could recognize the destructive deformation of strata at least 1 hour before the strata caving.

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Section: Monitoring Methodmentioning

confidence: 99%

MEMS Inertial Sensor for Strata Stability Monitoring in Underground Mining: An Experimental Study

Zhang

et al. 2018

Shock and Vibration

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“…With the increase of , , decreases sharply, and the increase of , has little effect on the deflection of the roof, so = = 1 can ensure the accuracy. The values of , , can be obtained when substituting = = 1 into formula (27) and then the values of , , can be obtained when substituting these three values into formula (25); furtherly, the values of , can be obtained when substituting the values of , , into formula (23). And when = /2, = /2, , both get the maximum value.…”

Section: Theoretical Derivation Of Periodic Breaking Span Of Thick Anmentioning

confidence: 99%

“…This software can help to study the evolution law of roof strata migration and the stress of the coal seam during the working face advancing [23]. As previous studies have shown that microseismic events are closely related to the energy distribution in coal and rocks [24,25], this paper tries further exploring the relationship between them, and this section will use 3DEC numerical simulation software to study strain energy distribution characteristics of coal seam under the thick and hard roof deformation and failure in Tashan mine and, then, compare it with the results of field microseismic test. By doing so, this paper may provide a research way for studying the energy distribution characteristics of the surrounding rock under similar conditions.…”

Section: Strain Energy Distribution Characteristics Of Coal Seam Undementioning

confidence: 99%

The Breaking Span of Thick and Hard Roof Based on the Thick Plate Theory and Strain Energy Distribution Characteristics of Coal Seam and Its Application

Liu

et al. 2017

Mathematical Problems in Engineering

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In mining engineering, the thick and hard roof threatens the safe production. Based on Reissner plate theory and combined with weighted residual method, with four edges clamped as the boundary conditions, this paper deduces the theoretical formula of the first breaking span of thick and hard roof. Based on Vlasov plate theory, with four edges simply supported as the boundary conditions, this paper deduces the theoretical formula of the periodic breaking span of thick and hard roof. The two formulas are used to verify the breaking span of thick and hard roof of Tashan Coal Mine, proving that its accuracy is higher than that of traditional beam theory. This paper studies the distribution characteristics of strain energy density in front of the coal seam during the mining process by numerical simulation, which is compared with the results of field microseismic experiments. It is found that the strain energy density of the coal seam has a good correlation with the probability of microseismic events. This paper provides theoretical support for more precise calculation of breaking span of the thick and hard roof and technical support for the practical stability analysis of the surrounding rock under the thick and hard roof.

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“…In engineering, AE technology has played an important role in risk assessment, prevention and control of rock bursts or roof falls in mines and excavation tunnels [5][6][7]. Meanwhile, some AE researches and applications on coal bumps [8][9][10][11][12] and gas outburst [13][14][15] prewarning have also been conducted in fields or laboratories. AE technology has become an important development direction of monitoring and prewarning method of stress-dominated coal or rock dynamic disasters at depth and has broad application prospects.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation on Influence Factors of Acoustic Emission Activity in Coal Failure Process

Yang

Wen

et al. 2018

Energies

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Stress-dominated coal and gas outburst disaster has become one of the main safety problems in deep coal mines. Acoustic emission (AE) or microseismic technology has been viewed as a promising method that can effectively reflect the stress and stability status of rock mass. The AE activity precursor of coal failure is the theoretical basis of this technology. In this study, AE experiments in failure process of coal specimens with different properties and under different stress conditions were performed in laboratory to explore influence factors and their effect of AE activity, and AE activity pattern classification was proposed based on the failure type of coal. The results indicate that the AE activity of different coals under loading are associated with the failure phase, and the evolution pattern of AE activity depends on the failure type of stressed coal. Both the mechanical property and the external stress condition have an important influential effect on the failure type and AE activity pattern in coal failure process. The internal mechanical property decides the inherent tendency of stressed coals to perform brittle or ductile behavior, and the responded AE activity pattern. The contrast of fissure distribution of specimens suggested that fissure structure in coal significantly affects the fracturing mode of coal in uniaxial compression and the AE activity pattern. The external stress condition has a transition effect on AE event energy distribution and AE activity pattern. Under the effect of external stress condition, the energy distribution of AE events was transforming between relative disperse and relative concentration, the failure type and AE activity evolution pattern of coal could appear the brittle-ductile transition. Based on the view of failure type, the pattern of AE activity of coal failure can be classified into three types, i.e., ductile, brittle, and semi-brittle pattern. It is suggested that the high-level AE activity can be viewed as the precursor of brittle instability of coal, and relative quiet phenomenon of AE activity as the precursor of ductile or semi-brittle instability. The research achievement can provide a theoretical base for the prewarning criteria establishment of coal and rock dynamic disasters at depth and improve the insight of AE activity in the coal failure process.

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Microseismic multi-parameter characteristics of rockburst hazard induced by hard roof fall and high stress concentration

Cited by 227 publications

References 32 publications

MEMS Inertial Sensor for Strata Stability Monitoring in Underground Mining: An Experimental Study

MEMS Inertial Sensor for Strata Stability Monitoring in Underground Mining: An Experimental Study

The Breaking Span of Thick and Hard Roof Based on the Thick Plate Theory and Strain Energy Distribution Characteristics of Coal Seam and Its Application

Experimental Investigation on Influence Factors of Acoustic Emission Activity in Coal Failure Process

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