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Dynamic Random Arching in the Flow Field of Top-Coal Caving Mining

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  • Ningbo Zhang

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
    School of Civil, Mining and Environmental Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia)

  • Changyou Liu

    (School of Mines, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)

  • Xiaojie Wu

    (School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China)

  • Tingxiang Ren

    (School of Civil, Mining and Environmental Engineering, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia)

Abstract

The large mining height fully mechanized top-coal caving mining technique has developed rapidly and become the most extensively used mining method for ultra-thick coal seams. The arching of coal/gangue and the drawing out of gangue are peculiar phenomena in the process of fully mechanized top-coal caving mining, which not only affects the recovery of top-coal, but also affects the quality of the coal. This paper studies the arching phenomenon in top-coal caving mining process of ultra-thick coal seam. A series of laboratory granular material simulation experiments were performing and a top-coal arching model in the framework of mechanics was established to explore the formation characteristic of arches and their effects to top-coal loss. Then the countermeasures against the arches and technology path of intelligent mining based on improving top-coal recovery were put forward and performed in practice. The results show that the recovery ratio of top-coal has increased nearly 6%, and increased the production efficiency at the same time. The research on arching mechanism and removing strategies of dynamic random arches effectively improves the efficiency of fully mechanized top-coal caving mining in ultra-thick coal seams, and provides the foundation for the realization of intelligent top-coal caving mining technology.

Suggested Citation

  • Ningbo Zhang & Changyou Liu & Xiaojie Wu & Tingxiang Ren, 2018. "Dynamic Random Arching in the Flow Field of Top-Coal Caving Mining," Energies, MDPI, vol. 11(5), pages 1-14, May.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:5:p:1106-:d:144032
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    References listed on IDEAS

    as
    1. Zhu Li & Jialin Xu & Shengchao Yu & Jinfeng Ju & Jingmin Xu, 2018. "Mechanism and Prevention of a Chock Support Failure in the Longwall Top-Coal Caving Faces: A Case Study in Datong Coalfield, China," Energies, MDPI, vol. 11(2), pages 1-17, January.
    2. Jinshuai Guo & Liqiang Ma & Ye Wang & Fangtian Wang, 2017. "Hanging Wall Pressure Relief Mechanism of Horizontal Section Top-Coal Caving Face and Its Application—A Case Study of the Urumqi Coalfield, China," Energies, MDPI, vol. 10(9), pages 1-20, September.
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    Cited by:

    1. Yi Yang & Xinwei Li & Huamin Li & Dongyin Li & Ruifu Yuan, 2020. "Deep Q-Network for Optimal Decision for Top-Coal Caving," Energies, MDPI, vol. 13(7), pages 1-14, April.
    2. Yuming Huo & Xuanmin Song & Defu Zhu, 2020. "Numerical Investigation of Top-Coal Migration in the First Coal-Drawing Process by an FDM–DEM Coupling Method," Energies, MDPI, vol. 13(20), pages 1-18, October.

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