The Characteristics Of AE- Microseism In The Instability Destruction Of Coal-rock Mass And Their Application In Rockburst Prediction

With the continuous increase of coal production, deep coal mining becomes a necessary trend. The instability destruction of coal and rock mass becomes more complex because of deep mining, and the precursor characteristic could be unconspicuous,however the precursor characteristics of coal and rock mass instability destruction is an effective means to predict rock burst and other dynamic disasters. Focused on the strong impact trend coal body and rockburst mine laboratory test, theoretical analysis, numerical simulation and field monitoring means were used to research study precursory characteristics of instability destruction of coal and rock mass and the research results were applied to the prediction of coal mine rockburst.The failure process of the coal body with strong impact tendency was researched by mechanical test, as well as the instability process of coal body was refined by using the theory of capacity expansion. Besides, the size effect of strong impact coal was also analyzed, experimental results indicate that the degree of heterogeneity has a strong influence on size effect. The precursor characteristic of coal body instability failure process was studied by using conventional acoustic emission monitoring instruments combined with spatial localization methods, results reveal that the acoustic emission characteristics precursor is not sensitive to the size change, and the acoustic emission monitoring of each parametric equalizer can characterize coal and rock instability destruction process. Furthermore, the precursor characteristics of coal and rock mass instability failure on working face was further explored through microseismic monitoring method, results showed that selected monitoring parameters of acoustic emission were consistent with that of microseismic in prediction of coal rock failure. Moreover, based on natural earthquake prediction indexes,4 types of 11 earthquake early warning indexes were obtained by analyzing the field microseismic monitoring parameters in time,space and intensity, and that indexes can forecast the instability destruction of coal and rock mass. At last, AHP, R mathematical methods value score, gray prediction theory were used to establish the prediction method of rock burst based on microseismic early-warning indexes, which has been proved to possess a better prediction performance on the field test.