IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i9p1246-d109371.html
   My bibliography  Save this article

Effects of Loading Rate on Gas Seepage and Temperature in Coal and Its Potential for Coal-Gas Disaster Early-Warning

Author

Listed:
  • Chong Zhang

    (Key Laboratory of Coal Methane and Fire Control (China University of Mining and Technology), Ministry of Education, Xuzhou 221116, China
    School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Xiaofei Liu

    (Key Laboratory of Coal Methane and Fire Control (China University of Mining and Technology), Ministry of Education, Xuzhou 221116, China
    School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Guang Xu

    (Department of Mining Engineering and Metallurgical Engineering, Western Australian School of Mines, Curtin University, Kalgoorlie, WA 6430, Australia)

  • Xiaoran Wang

    (School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China)

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.

Suggested Citation

  • Chong Zhang & Xiaofei Liu & Guang Xu & Xiaoran Wang, 2017. "Effects of Loading Rate on Gas Seepage and Temperature in Coal and Its Potential for Coal-Gas Disaster Early-Warning," Energies, MDPI, vol. 10(9), pages 1-14, August.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1246-:d:109371
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/9/1246/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/9/1246/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee R. Kump, 2005. "Foreshadowing the glacial era," Nature, Nature, vol. 436(7049), pages 333-334, July.
    2. Marten Scheffer & Jordi Bascompte & William A. Brock & Victor Brovkin & Stephen R. Carpenter & Vasilis Dakos & Hermann Held & Egbert H. van Nes & Max Rietkerk & George Sugihara, 2009. "Early-warning signals for critical transitions," Nature, Nature, vol. 461(7260), pages 53-59, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hanpeng Wang & Bing Zhang & Liang Yuan & Guofeng Yu & Wei Wang, 2018. "Gas Release Characteristics in Coal under Different Stresses and Their Impact on Outbursts," Energies, MDPI, vol. 11(10), pages 1-15, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. James J Elser & Timothy J Elser & Stephen R Carpenter & William A Brock, 2014. "Regime Shift in Fertilizer Commodities Indicates More Turbulence Ahead for Food Security," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-7, May.
    2. Darrell Jiajie Tay & Chung-I Chou & Sai-Ping Li & Shang You Tee & Siew Ann Cheong, 2016. "Bubbles Are Departures from Equilibrium Housing Markets: Evidence from Singapore and Taiwan," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-13, November.
    3. Dur, Gaël & Won, Eun-Ji & Han, Jeonghoon & Lee, Jae-Seong & Souissi, Sami, 2021. "An individual-based model for evaluating post-exposure effects of UV-B radiation on zooplankton reproduction," Ecological Modelling, Elsevier, vol. 441(C).
    4. Martin Lindegren & Vasilis Dakos & Joachim P Gröger & Anna Gårdmark & Georgs Kornilovs & Saskia A Otto & Christian Möllmann, 2012. "Early Detection of Ecosystem Regime Shifts: A Multiple Method Evaluation for Management Application," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
    5. Simon DeDeo, 2016. "Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions," Future Internet, MDPI, vol. 8(3), pages 1-23, July.
    6. Quentin Remy & Julius Hohlfeld & Maxime Vergès & Yann Le Guen & Jon Gorchon & Grégory Malinowski & Stéphane Mangin & Michel Hehn, 2023. "Accelerating ultrafast magnetization reversal by non-local spin transfer," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    7. Corsi, Fulvio & Lillo, Fabrizio & Pirino, Davide & Trapin, Luca, 2018. "Measuring the propagation of financial distress with Granger-causality tail risk networks," Journal of Financial Stability, Elsevier, vol. 38(C), pages 18-36.
    8. Florian Wagener, 2013. "Shallow lake economics run deep: nonlinear aspects of an economic-ecological interest conflict," Computational Management Science, Springer, vol. 10(4), pages 423-450, December.
    9. Palola, Pirta & Bailey, Richard & Wedding, Lisa, 2022. "A novel framework to operationalise value-pluralism in environmental valuation: Environmental value functions," Ecological Economics, Elsevier, vol. 193(C).
    10. Maeno, Yoshiharu, 2011. "Discovery of a missing disease spreader," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(20), pages 3412-3426.
    11. Tousheng Huang & Huayong Zhang & Zhao Liu & Ge Pan & Xiumin Zhang & Zichun Gao, 2019. "Theoretical Study on Self-Organization of Vegetation Patterns Triggered by Water Resource in Deposited Sediment Layer," Complexity, Hindawi, vol. 2019, pages 1-11, July.
    12. Faranda, Davide & Lucarini, Valerio & Manneville, Paul & Wouters, Jeroen, 2014. "On using extreme values to detect global stability thresholds in multi-stable systems: The case of transitional plane Couette flow," Chaos, Solitons & Fractals, Elsevier, vol. 64(C), pages 26-35.
    13. Kevin Thellmann & Marc Cotter & Sabine Baumgartner & Anna Treydte & Georg Cadisch & Folkard Asch, 2018. "Tipping Points in the Supply of Ecosystem Services of a Mountainous Watershed in Southeast Asia," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    14. Katherine A Spielmann & Matthew A Peeples & Donna M Glowacki & Andrew Dugmore, 2016. "Early Warning Signals of Social Transformation: A Case Study from the US Southwest," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-18, October.
    15. Ren, Bijie & Polasky, Stephen, 2014. "The optimal management of renewable resources under the risk of potential regime shift," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 195-212.
    16. John P DeLong & Oskar Burger, 2015. "Socio-Economic Instability and the Scaling of Energy Use with Population Size," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-12, June.
    17. Kathrin Viol & Helmut Schöller & Andreas Kaiser & Clemens Fartacek & Wolfgang Aichhorn & Günter Schiepek, 2022. "Detecting pattern transitions in psychological time series – A validation study on the Pattern Transition Detection Algorithm (PTDA)," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-22, March.
    18. Dmitry Gromov & Thorsten Upmann, 2021. "Dynamics and Economics of Shallow Lakes: A Survey," Sustainability, MDPI, vol. 13(24), pages 1-16, December.
    19. Marian Gidea, 2017. "Topology data analysis of critical transitions in financial networks," Papers 1701.06081, arXiv.org.
    20. Martinez-Garcia, Ricardo & Cabal, Ciro & Calabrese, Justin M. & Hernández-García, Emilio & Tarnita, Corina E. & López, Cristóbal & Bonachela, Juan A., 2023. "Integrating theory and experiments to link local mechanisms and ecosystem-level consequences of vegetation patterns in drylands," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1246-:d:109371. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.