A new energy index for evaluating the tendency of rockburst and its engineering application

Xu, Jie; Jiang, Junfeng; Xu, Na; Liu, Quansheng; Gao, Yufeng

doi:10.1016/j.enggeo.2017.09.015

Cited by 103 publications

(48 citation statements)

References 19 publications

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“…One of the necessary conditions for rockburst to occur is that the rock should have the capacity for a large amount of elastic energy storage [31]. Thus, we selected the Energy Criterion to calculate the rockburst tendency of granite rock.…”

Section: Analysis Of Rockburst Tendencymentioning

confidence: 99%

The Mechanical and Fracturing of Rockburst in Tunnel and Its Acoustic Emission Characteristics

Liu

Zhan

Zhang

et al. 2018

Shock and Vibration

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The phenomenon of acoustic emission (AE) is associated with rock failure and rock fracturing. In order to investigate the influence of tectonic stress on rockburst in tunnel, a biaxial loading experiment system was used in this study. The excavation operation is undertaken at the center of samples to monitor the tunnel forming process in situ, and the different horizontal stresses can be studied by using the AE monitoring technique. The dynamical fracturing process of the tunnel model was summarized, and the timing parameters of AE signals in rockburst stages were obtained. The curves of AE energy and cumulative AE energy with time show a "step-like" rising trend before the occurrence of rockburst. The evolution of macro-and mesocracks is captured, and the mechanical conditions for a "V-shaped" rockburst pit are derived. As the horizontal stress increases, the effect of excavation unloading becomes more pronounced, and the damage caused by the rockburst intensifies. In the early stage of rockburst evolution, the fracturing type follows a model of tensile-shear mix model. A positive relationship between the ratio of shear fracturing type and the horizontal stress can be noted when the rock is about to burst, and the high intensity and the high energy released of from the rock-fracturing event have become evident. Thus, the results indicate that one should focus on monitoring both sides of the surrounding rock of the tunnel so as to extract the characteristics of the process of tunnel in tunnel. The applications of biaxial loading system and during an excavation operation provide a useful tool to simulate the rock burst in tunnel at an engineering site.

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Section: Analysis Of Rockburst Tendencymentioning

confidence: 99%

The Mechanical and Fracturing of Rockburst in Tunnel and Its Acoustic Emission Characteristics

Liu

Zhan

Zhang

et al. 2018

Shock and Vibration

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“…22,23 Meanwhile, MS has been studied depending on the theories and practices of dynamic disasters in coal mines. [24][25][26][27][28] All these studies have rapidly developed the MS theory and the related technology and provided the feasibility of MS monitoring for HF in coal mines.…”

Section: Introductionmentioning

confidence: 99%

Underground microseismic monitoring of a hydraulic fracturing operation for CBM reservoirs in a coal mine

Jiang

et al. 2019

Energy Science & Engineering

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Hydraulic fracturing can evidently improve the coalbed methane production in underground coal mines, but it is difficult to delimit the stimulated area accurately. In order to evaluate the stimulated area, microseismic (MS) monitoring technique is proposed to investigate the seismic responses of the induced fractures of hydraulic fracturing. Three coal seams were targeted to be treated in a coal mine. An array of geophones was set along the underground roadway to detect the MS signals caused by HF. In order to verify the result of MS monitoring, water content of each coal seam has been measured before and after HF treatment. The results showed that a series of MS events were detected during the entire HF process, and a sharp MS event usually occurred during the first hour of HF process. The energy of the sharp MS event had higher magnitude than others. The MS distribution exhibited complex morphological features. The directionless MS response was distributed over a radius of less than 40 m but tended to be significantly conjugated with a radius of more than 40 m. HF could stimulate both the coal seam and the rock layers nearby. The achievable stimulated area in the coal seam was determined to be 50 m × 50 m according to the MS density and water content. The stimulated area in terms of MS density was easily found to be broader than the area of water direct intrusion. The present study indicated that MS monitoring technique could potentially be used for evaluation of HF in underground coal mine.

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“…Mitri assessed the mining‐induced energy storage rate with finite element software while assuming ideal elasticity of the surrounding rock. Some researchers combined numerical approaches with fieldwork to investigate the energy redistributions in circular openings . For underground longwall face excavations, Wang et al presented a numerical investigation to assess the energy redistribution in an island longwall panel.…”

Section: Introductionmentioning

confidence: 99%

“…Some researchers combined numerical approaches with fieldwork to investigate the energy redistributions in circular openings. 23 For underground longwall face excavations, Wang et al 24 presented a numerical investigation to assess the energy redistribution in an island longwall panel. In his numerical model, very elastic soft material was used to simulate the gob material.…”

Section: Introductionmentioning

confidence: 99%

A numerical study of the mining‐induced energy redistribution in a coal seam adjacent to an extracted coal panel during longwall face mining: A case study

Wang

Qiu

Ning

et al. 2019

Energy Science & Engineering

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Mining of the coal seam adjacent to the extracted coal panel is widely practiced in China to improve coal resource recovery rates, but the energy change associated with longwall mining may present a new risk to ground stability and gateroad failure. To understand the energy change effectively, a meticulously validated numerical model, built using FLAC3D software, incorporating a double‐yield model for the gob materials and a strain‐softening model for the coal/rock masses, was developed to investigate the energy redistribution in coal seams and barrier pillars during the process of mining the coal seam adjacent to the extracted coal panel. The model results showed that the closer the region was to the LW 5301 gob, the higher the location and magnitude of the peak strain energy density. Consequently, the risk of rockburst in coal seams was greater than that in barrier pillars. Along the coal seam strike, with increasing advancing distance from the setup room, the magnitude of the peak strain energy density gradually increased to 1.88‐2.78 times the premining energy level. In addition, along the coal seam dip, the maximum distance from the peak strain energy density to the edge of the coal seam was approximately 16‐28 m, which is greater than that in the barrier pillar. The proposed numerical simulation procedure and calibrated method could be a viable alternative approach to evaluate longwall mining‐induced energy changes.

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A new energy index for evaluating the tendency of rockburst and its engineering application

Cited by 103 publications

References 19 publications

The Mechanical and Fracturing of Rockburst in Tunnel and Its Acoustic Emission Characteristics

The Mechanical and Fracturing of Rockburst in Tunnel and Its Acoustic Emission Characteristics

Underground microseismic monitoring of a hydraulic fracturing operation for CBM reservoirs in a coal mine

A numerical study of the mining‐induced energy redistribution in a coal seam adjacent to an extracted coal panel during longwall face mining: A case study

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