Stress concentration-based outburst risk identification method for coal roadway tunneling working surface

Abstract

The invention discloses a stress concentration-based outburst risk identification method for a coal roadway tunneling working surface and belongs to the technical field of coal mine safety. The methodaims at solving the problem in the prior art that the outburst risk of the coal roadway tunneling working surface cannot be judged reasonably in the construction process. According to the method disclosed by the invention, main factors which influence the geological environment and the mining disturbance of the coal roadway tunneling working surface are quantified by adopting the stress concentration or superposition analysis method. A method for judging the stress concentration risk of the coal and the outburst risk of the gas is provided. Meanwhile, an important technical support is provided for the judgment of outburst risk-related stress concentration or superposition areas, and the outburst risk prevention of coal roadway tunneling.

Description

technical field [0001] The invention relates to the technical field of coal mine outburst safety, in particular to a method for on-site judging the danger of coal and gas outburst at a coal roadway driving face. Background technique [0002] Coal and gas outburst is a complex mine dynamic phenomenon, and it is an urgent technical problem to judge the risk level of coal and gas outburst reasonably and accurately. At present, at home and abroad, the regional prediction in the sense of coal seam and mining area is the main method, and the methods are mostly static identification, which cannot carry out real-time and dynamic identification of outstanding risks in the construction process of the tunneling face, and the existing geological Environmental data are mostly described in words, lack of stress analysis and effective expression of their impact data, and cannot accurately and vividly reflect relevant information, which is not conducive to data acquisition and decision-maki...

AI Technical Summary

Problems solved by technology

At present, at home and abroad, the regional prediction in the sense of coal seam and mining area is the main method, and the methods are mostly static identification, which cannot carry out real-time and dynamic identification of outstanding risks in the construction process of the tunneling face, and the existing geological Environmental data are mostly described in words, lack of stress analysis and effective expression of their impact data, can not accurately reflect relevant information, and are not conducive to data acquisition and decision-making by technical personnel

[0003] According to the research status and analysis at home and abroad, the traditional identification method of outburst risk in coal roadway working face is not suitable for the prediction and early warning work during excavation. Gas desorption index, drilling cuttings index, composite index, auxiliary index and other on-site characteristics of the working face are used to analyze the impact of stress and gas occurrence on coal and gas outburst disasters, but they do not specifically consider the influence of geological environment and mining disturbance on outburst, such as The layout of the roadway in this coal seam leads to the difference of coal and gas outburst disasters in the coal roadway excavation working face; my country mainly focuses on the "two four-in-one" comprehensive prevention and control of "regional four-in-one as the main and local four-in-one as the supplement". The technology has achieved good results in the forecasting and forecasting of the outburst risk of the coal roadway driving face, but there are still many difficulties in the process of realization

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