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Author

Sheng Li

Other affiliations: Liaoning Technical University
Bio: Sheng Li is an academic researcher from China University of Mining and Technology. The author has contributed to research in topics: Coal mining & Coal. The author has an hindex of 12, co-authored 29 publications receiving 620 citations. Previous affiliations of Sheng Li include Liaoning Technical University.

Papers
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Journal ArticleDOI
15 Apr 2019-Energy
TL;DR: In this paper, the fully coupled thermo-hydro-mechanical-chemical (THMC) response of CO2 enhanced CBM recovery (CO2-ECBM) considering the coupling relationships of competitive sorption of binary gas and dissolved gas in water, gas and water transport in two phase flow, thermal expansion and non-isothermal gas sorption (T), and coal deformation (M).

179 citations

Journal ArticleDOI
TL;DR: In this article, the authors analyzed the interaction among the three essential elements of coal and gas outburst dynamic system and established a stress-seepage-damage coupling model which can be used to simulate the evolution of the dynamical system.
Abstract: Coal and gas outburst is an extremely complex dynamic disaster in coal mine production process which will damage casualties and equipment facilities, and disorder the ventilation system by suddenly ejecting a great amount of coal and gas into roadway or working face. This paper analyzed the interaction among the three essential elements of coal and gas outburst dynamic system. A stress-seepage-damage coupling model was established which can be used to simulate the evolution of the dynamical system, and then the size scale of coal and gas outburst dynamical system was investigated. Results show that the dynamical system is consisted of three essential elements, coal-gas medium (material basis), geology dynamic environment (internal motivation) and mining disturbance (external motivation). On the case of C13 coal seam in Panyi Mine, the dynamical system exists in the range of 8–12 m in front of advancing face. The size scale will be larger where there are large geologic structures. This research plays an important guiding role for developing measures of coal and gas outburst prediction and prevention.

160 citations

Journal ArticleDOI
01 Oct 2019-Fuel
TL;DR: In this paper, an improved thermo-hydro-mechanical (THM) model was developed for gas mixture enhanced CBM recovery (GM-ECBM), and the model was first validated, and then applied to simulate and explore the evolution of key parameters during GMECBM recovery.

139 citations

Journal ArticleDOI
TL;DR: In this article, an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. © 2019 The Authors. Energy Science & Engineering published by the Society of Chemical Industry and John Wiley & Sons Ltd. 1College of Mining, Liaoning Technical University, Fuxin, Liaoning Province, China 2State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining & Technology, Xuzhou, Jiangsu Province, China 3Energy and Mineral Engineering, Pennsylvania State University, University Park, Pennsylvania, USA

100 citations

Journal ArticleDOI
TL;DR: In this article, a fully coupled thermal-hydraulic-mechanical model (THM) including coal deformation, gas seepage, water seepages, and thermal transport governing equations is developed and solved using the finite element (FE) method.

99 citations


Cited by
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Journal ArticleDOI
15 Oct 2017-Fuel
TL;DR: In this paper, the chemical and physical properties of coal were investigated using FTIR and Raman spectroscopy, and correlations were established for these parameters, showing that coal structure is complex with three stage characteristics at R o ǫ = 0.4 −1.4−1.3, 1.3 −2.0% and 2.0 −4.0%.

397 citations

Journal ArticleDOI
15 Apr 2019-Energy
TL;DR: In this paper, the fully coupled thermo-hydro-mechanical-chemical (THMC) response of CO2 enhanced CBM recovery (CO2-ECBM) considering the coupling relationships of competitive sorption of binary gas and dissolved gas in water, gas and water transport in two phase flow, thermal expansion and non-isothermal gas sorption (T), and coal deformation (M).

179 citations

Journal ArticleDOI
TL;DR: In this article, the authors analyzed the interaction among the three essential elements of coal and gas outburst dynamic system and established a stress-seepage-damage coupling model which can be used to simulate the evolution of the dynamical system.
Abstract: Coal and gas outburst is an extremely complex dynamic disaster in coal mine production process which will damage casualties and equipment facilities, and disorder the ventilation system by suddenly ejecting a great amount of coal and gas into roadway or working face. This paper analyzed the interaction among the three essential elements of coal and gas outburst dynamic system. A stress-seepage-damage coupling model was established which can be used to simulate the evolution of the dynamical system, and then the size scale of coal and gas outburst dynamical system was investigated. Results show that the dynamical system is consisted of three essential elements, coal-gas medium (material basis), geology dynamic environment (internal motivation) and mining disturbance (external motivation). On the case of C13 coal seam in Panyi Mine, the dynamical system exists in the range of 8–12 m in front of advancing face. The size scale will be larger where there are large geologic structures. This research plays an important guiding role for developing measures of coal and gas outburst prediction and prevention.

160 citations

Journal ArticleDOI
TL;DR: In this article, the authors used the Hilbert-Huang transform (HHT) to decompose the acoustic emission waveform into multiple intrinsic mode function (IMF) components, with the energy mainly concentrated in the C1-C4 IMF components, where the C 1 component has the highest frequency and the largest amount of energy.
Abstract: Acoustic Emission (AE) waveforms contain information on microscopic structural features that can be related with damage of coal rock masses. In this paper, the Hilbert-Huang transform (HHT) method is used to obtain detailed structural characteristics of coal rock masses associated with damage, at different loading stages, from the analyses of the characteristics of AE waveforms. The results show that the HHT method can be used to decompose the target waveform into multiple intrinsic mode function (IMF) components, with the energy mainly concentrated in the C1–C4 IMF components, where the C1 component has the highest frequency and the largest amount of energy. As the loading continues, the proportion of energy occupied by the low-frequency IMF component shows an increasing trend. In the initial compaction stage, the Hilbert marginal spectrum is mainly concentrated in the low frequency range of 0–40 kHz. The plastic deformation stage is associated to energy accumulation in the frequency range of 0–25 kHz and 200–350 kHz, while the instability damage stage is mainly concentrated in the frequency range of 0–25 kHz. At 20 kHz, the instability damage reaches its maximum value. There is a relatively clear instantaneous energy peak at each stage, albeit being more distinct at the beginning and at the end of the compaction phase. Since the effective duration of the waveform is short, its resulting energy is small, and so there is a relatively high value from the instantaneous energy peak. The waveform lasts a relatively long time after the peak that coincides with failure, which is the period where the waveform reaches its maximum energy level. The Hilbert three-dimensional energy spectrum is generally zero in the region where the real energy is zero. In addition, its energy spectrum is intermittent rather than continuous. It is therefore consistent with the characteristics of the several dynamic ranges mentioned above, and it indicates more clearly the low-frequency energy concentration in the critical stage of instability failure. This study well reflects the response law of geophysical signals in the process of coal rock instability and failure, providing a basis for monitoring coal rock dynamic disasters.

141 citations

Journal ArticleDOI
TL;DR: In this article, the main types of accidents are gas, flood and roof accide, while the safety production situation of coal mines in Guizhou province was generally good during the "12th Five-Year Plan" period (2011-2015).
Abstract: During the “12th Five-Year Plan” period (2011–2015), the safety production situation of coal mines in Guizhou province was generally good. The main types of accidents are gas, flood and roof accide...

139 citations