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

Ningbo Zhang, Changyou Liu, Xiaojie Wu and Tingxiang Ren
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Ningbo Zhang: School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China
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

Energies, 2018, vol. 11, issue 5, 1-14

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.

Keywords: top-coal caving mining; arching mechanism; dynamic random arch; granular material; intelligent mining (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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