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A Prediction Method of Coal Burst Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation

Frontiers in Earth Science, 2022
Coal burst has become a worldwide problem that needs to be solved urgently for the sake of coal mine safety production due to its complicated triggering mechanisms and numerous influencing factors.
Zhijie Zhu, Zhijie Zhu, Yunlong Wu, Jun Han   +3 more
doaj   +4 more sources

Microseismic comprehensive evaluation method for coal burst: a case study in the Zhaolou Coal Mine. [PDF]

Sci Rep
AbstractTo explore the multiparameter precursor characteristics of pre- and post-coal burst. Based on a coal burst of LW 1305 in the Zhaolou Coal Mine, an early warning method combining stress‒strain curve and microseismic multiparameter is proposed. The research results show that coal burst was induced by the intrinsic static high-stress concentration
Zhang H, Liang L, Lin N, Zhang S, Cui MM, Yang ZG.   +5 more
europepmc   +5 more sources

Study of hydraulic cutting as a method to prevent coal burst disasters. [PDF]

Heliyon
This study explores the causes of coal bursts in the Xinzhou Kiln Mine, identifying key factors such as residual pillars, hard coal seams and/or roofs, stress concentration due to complex geological structures, and the stress distribution characteristics of the primary rock.
Chi M, Tang H, Liu D, Wang D, Dai C, Zou J, Gao Q, Feng G.   +7 more
europepmc   +5 more sources

Developing coal burst propensity index method for Australian coal mines

International Journal of Mining Science and Technology, 2018
Coal burst is the violent failure of overstressed coal, and it is often accompanied by sound, coal ejection and seismic events. It is subsequently recognized as a serious safety risk of Australia after double fatalities coal burst happened at Austar Coal
Xiaohan Yang, Ting Ren, Lihai Tan, Alex Remennikov, Xueqiu He   +4 more
doaj   +7 more sources

FDNet: Knowledge and Data Fusion-Driven Deep Neural Network for Coal Burst Prediction. [PDF]

Sensors (Basel), 2022
Coal burst prediction is an important research hotspot in coal mine production safety. This paper presents FDNet, which is a knowledge and data fusion-driven deep neural network for coal burst prediction.
Cao A, Liu Y, Yang X, Li S, Liu Y.
europepmc   +2 more sources

A Combined Method of Seismic Monitoring and Transient Electromagnetic Detection for the Evaluation of Hydraulic Fracturing Effect in Coal Burst Prevention. [PDF]

Sensors (Basel)
In order to mitigate the risk of roof-dominated coal burst in underground coal mining, horizontal long borehole staged hydraulic fracturing technology has been prevailingly employed to facilitate the weakening treatment of the hard roof in advance.
Bian J, Liu A, Yang S, Lu Q, Jia B, Li F, Ma X, Gong S, Cai W.   +8 more
europepmc   +2 more sources

A new criterion of coal burst proneness based on the residual elastic energy index

International Journal of Mining Science and Technology, 2021
To evaluate the coal burst proneness more precisely, a new energy criterion namely the residual elastic energy index was proposed. This study begins by performing the single-cyclic loading-unloading uniaxial compression tests with five pre-peak unloading
Fengqiang Gong, Yunliang Wang, Junfeng Pan   +2 more
exaly   +2 more sources

A Novel Coal Burst Criterion of Anchored Roadway Surrounding Rock under Dynamic Disturbance

Advances in Civil Engineering, 2023
Mining roadway is the main occurrence area of coal bursts in underground coal mining. A good understanding of the failure process of elastic zone and energy evolution inducing instability of support structure can offer useful insight into the coal burst ...
Zheng-yi Wang, Peng-bo Li
doaj   +2 more sources

Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors

International Journal of Mining Science and Technology, 2021
Coal burst is a severe hazard that can result in fatalities and damage of facilities in underground coal mines. To address this issue, a robust unascertained combination model is proposed to study the coal burst hazard based on an updated database.
Jian Zhou, Mingzheng Wang, Manoj Khandelwal   +2 more
exaly   +2 more sources

Analysis of Energy Accumulation and Dissipation of Coal Bursts [PDF]

Energies, 2018
Coal bursts are a serious dynamic hazard for underground coalmines, and they attract the extensive interest of studies from mining and geotechnical researchers worldwide. More recently, coal-burst incidents were reported in some Australian coalmines as a
Xiaohan Yang, Ting Ren, Alex Remennikov, Xueqiu He, Lihai Tan   +4 more
doaj   +5 more sources