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Title: The classification and mechanisms of coal-gas compound dynamic disasters: a preliminary discussion

Authors: Kai Wang; Feng Du

Addresses: Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology (Beijing), Beijing 100083, China; Faculty of Resources and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; Hebei State Key Laboratory of Mine Disaster Prevention, North China Institute of Science and Technology, Beijing 101601, China ' Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology (Beijing), Beijing 100083, China; Faculty of Resources and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027, USA

Abstract: With the development of deep mining in recent years, there appears a new form of dynamic disaster, which is known as coal-gas outburst and rockburst compound dynamic disaster. It is also called as coal-gas compound dynamic disaster for academia. In this paper, we propose a new classification system of coal-gas compound dynamic disasters. The coal-gas compound dynamic disasters are divided into three types named rockburst-induced outburst dynamic disaster, outburst-induced rockburst dynamic disaster, outburst and rockburst coupling dynamic disaster. And the occurrence mechanism and energy criterion of each kind of compound dynamic disaster are discussed. We suggest that integrated prevention and control strategies of coal-gas compound dynamic disasters should be adopted by eliminating the gas internal energy and releasing the elastic energy. We also believe that using big data to improve the prediction and control level of coal-gas compound dynamic disasters is the key research direction in the future.

Keywords: deep mining; coal and gas outburst; rockburst; compound dynamic disaster; classification; mechanism; energy criterion; gas internal energy; elastic energy; prevention and control strategies; big data.

DOI: 10.1504/IJMME.2019.098308

International Journal of Mining and Mineral Engineering, 2019 Vol.10 No.1, pp.68 - 84

Accepted: 29 Nov 2018
Published online: 12 Mar 2019 *

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