Abstract
The seepage velocity and temperature externally manifest the changing structure, gas desorption and energy release that occurs in coal containing gas failure under loading. By using the system of coal containing gas failure under loading, this paper studies the law of seepage velocity and temperature under different loading rates and at 1.0 MPa confining pressure and 0.5 MPa gas pressure, and combined the on-site results of gas pressure and temperature. The results show that the stress directly affects the seepage velocity and temperature of coal containing gas, and the pressure and content of gas have the most sensitivity to mining stress. Although the temperature is not sensitive to mining stress, it has great correlation with mining stress. Seepage velocity has the characteristic of critically slowing down under loading. This is demonstrated by the variance increasing before the main failure of the samples. Therefore, the variance of seepage velocity with time and temperature can provide an early warning for coal containing gas failing and gas disasters in a coal mine.
Recommended Citation
C. Zhang et al., "Effects of Loading Rate on Gas Seepage and Temperature in Coal and its Potential for Coal-Gas Disaster Early-Warning," Energies, vol. 10, no. 9, article no. 1246, MDPI, Sep 2017.
The definitive version is available at https://doi.org/10.3390/en10091246
Department(s)
Mining Engineering
Keywords and Phrases
Coal; Coal gas; Coal mines; Disasters; Seepage; Temperature; Velocity; Changing structures; Coal containing gas; Confining pressures; Critical slowing down; Energy release; Gas desorption; Loading rate; Seepage velocity; Loading
International Standard Serial Number (ISSN)
1996-1073
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2017 The Author(s), All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Sep 2017
Comments
This work was supported by the Fundamental Research Funds for the Central Universities (2017CXNL02) and A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). The authors are grateful to all the people who helped us in this paper, and we are also very grateful to Enyuan Wang who provided the experimental system and contributed analysis tools.