Coupled mechanism of compression and prying-induced rock burst in steeply inclined coal seams and principles for its prevention

He, Shengquan; Song, Dazhao; He, Xiaocong; Chen, Jianqiang; Ren, Ting; Li, Zhenlei; Qiu, Liming

doi:10.1016/j.tust.2020.103327

Cited by 51 publications

(23 citation statements)

References 42 publications

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“…In this work, MS data are obtained by ARAMIS M/E MS Monitoring System (the system is developed by EMAG Industrial Technology Innovation Institute of Poland; detailed information regarding this system is available at http://www.cttemag.pl/en) in Wudong coal FIGURE 2. Sketch of the layout of the MS system in Wudong coal mine (modified according to [56]). mine, Xinjiang, China.…”

Section: Ms Data Descriptionmentioning

confidence: 99%

Investigate Contribution of Multi-Microseismic Data to Rockburst Risk Prediction Using Support Vector Machine With Genetic Algorithm

Xie

Wang

et al. 2020

IEEE Access

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As a severe hazard in coal mining and rock excavation, the rockburst is usually induced by the high energy tremor. Microseismic (MS) monitoring is suggested to forecast the rockburst risk to reduce its damage. The paper aims to investigate contribution of multi-MS data, including MS raw wave data and MS energy data, to prediction of the high energy tremor, using support vector machine (SVM) together with genetic algorithm (GA). MS monitoring data recorded for more than 400 days at Wudong coal mine of Xinjiang, China, were used in the paper. 132 and 24 features are initially extracted from MS raw wave and energy data in the frequency domain, entropy and time-frequency domain, respectively. GA is not only used to select effective ones among initially extracted features, but also optimize hyperparameters for SVM to classify high energy tremors from general MS events. The performances of the proposed approach based on multi-MS data are evaluated by cross-validation. The results show that the classifier achieves 98% sensitivity, 88% accuracy and 87% specificity using both MS raw wave and energy data, which is better than solely utilizing MS raw wave (98% sensitivity, 84% accuracy and 83% specificity) or energy data (98% sensitivity, 86% accuracy and 85% specificity). These findings suggest that MS raw wave data makes important contribution to rockburst risk prediction as well as MS energy data, and the better performance can be achieved when utilizing two kinds of data simultaneously. INDEX TERMS Rockburst risk prediction, microseismic monitoring, microseismic raw wave data, support vector machine, genetic algorithm.

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Section: Ms Data Descriptionmentioning

confidence: 99%

Investigate Contribution of Multi-Microseismic Data to Rockburst Risk Prediction Using Support Vector Machine With Genetic Algorithm

Xie

Wang

et al. 2020

IEEE Access

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“…When the dip angle of the coal seam is larger than the moving angle of the roof rock and the floor rock, the roof and floor of the coal seam may move or even slide after mining. It is very likely to damage the integrity of the roof and floor of the coal seam that has not been mined in the upper and lower part, and it is unfavourable to the mining of the adjacent coal seam [30,31].…”

Section: Mining Characteristics Of Steep Coal Seammentioning

confidence: 99%

Experimental and Theoretical Investigation of Overburden Failure Law of Fully Mechanized Work Face in Steep Coal Seam

Liao

Feng

et al. 2020

Advances in Civil Engineering

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In this study, both theoretical analysis and similar simulation experiment are employed to investigate the overburden failure law of fully mechanized face in the steep coal seam. By establishing the mechanical model of inclined rock beam, the deflection equation of overlying strata beam is obtained. Based on the geological conditions of Xiangyong coal mine in Hunan Province of China, the laws of roof deformation and failure in steep coal seam are obtained by similar simulation experiments. The results showed that the roof deformation of the goaf is relatively large after the working face advances along the strike, and the deformation mainly occurs in the upper roof of the goaf. The backward gangue in the immediate roof fills the lower part of the goaf, which plays a supporting role in the lower part of the roof and floor. The roof fracture of goaf is located in the middle and upper parts of the working face, which is consistent with the results derived from the mechanical model. After the roof fracture, a “trapezoid” bending fracture area and the secondary stability system area is formed, which is composed of four areas: the lower falling and filling support area, the upper strata bending fracture area, the fracture extension area, and the roof bending sinking area.

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“…It shows that a change in thickness has a larger impact on the hinged structure. When the rotation angle reaches its minimum value depending on the allowable deformation, the deformation instability occurs (He et al 2020;Ju et al 2018). The rotation angle's magnitude reflects the differences of overburden rock structure and its stability, thus exerting a significant effect on the support (Xie et al 2020).…”

Section: Rotatory Instability Model Of the Main Roofmentioning

confidence: 99%

Dip Angle Effect on the Main Roof First Fracture and Instability in a Fully-mechanized Workface of Steeply Dipping Coal Seams

Wei

Yang

Liu

et al. 2020

Preprint

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The study of fracture and instability mechanism of the main roof in steeply dipping coal seams (SDCS) workface is crucial to the proper choice of support type and control of stability of surrounding rock, as well as the safe and effective mining in the coal seam. Based on the established SDCS main roof model, this study derived the stress distribution in the main roof under linear load, analyzed the dip angle effect associated with the evolving stress of SDCS workface, and elaborated the sequential characteristics of the ground pressure mechanism. Besides, an inclined unstable structure model of the main roof based on deformation, fracturing, and rotating of the main roof in the SDCS workface was also proposed here, which explained the impacts of overburden rock's key parameters on sliding and rotatory instability of rock mass. In light of the analysis of the movement rule of overburden rock and loading condition of support, it is found that, when the roof and floor in the workface are stable, the critical support resistance with the absence of sliding and rotating increases as the dip angle of coal seam increases, the roof is in the state of discontinuous movement due to its self-weight and overburden pressure. Support is affected by the discontinuous movement and moved along with the roof. The results of this study can be of theoretical reference to the control of SDCS.

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Coupled mechanism of compression and prying-induced rock burst in steeply inclined coal seams and principles for its prevention

Cited by 51 publications

References 42 publications

Investigate Contribution of Multi-Microseismic Data to Rockburst Risk Prediction Using Support Vector Machine With Genetic Algorithm

Investigate Contribution of Multi-Microseismic Data to Rockburst Risk Prediction Using Support Vector Machine With Genetic Algorithm

Experimental and Theoretical Investigation of Overburden Failure Law of Fully Mechanized Work Face in Steep Coal Seam

Dip Angle Effect on the Main Roof First Fracture and Instability in a Fully-mechanized Workface of Steeply Dipping Coal Seams

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