LIU Chun, YI Jun, JIANG De-yi, REN Song. Study on rockburst intensity prediction method based on gray relational analysis theoryJ. CHINA MINING MAGAZINE, 2007, 16(12): 100-103.
    Citation: LIU Chun, YI Jun, JIANG De-yi, REN Song. Study on rockburst intensity prediction method based on gray relational analysis theoryJ. CHINA MINING MAGAZINE, 2007, 16(12): 100-103.

    Study on rockburst intensity prediction method based on gray relational analysis theory

    • The method of gray relational analysis theory is used to predict whether rockburst will happen in the underground rock projects and how much the intensity of rock burst is. Some main control factors of rockburst, such as the values of in-situ stresses, the compressive and tensile strengths of rock, the elastic energy index of rock, are chosen in the analysis.A series of underground rock projects at home and abroad are evaluated with the proposed method. The evaluated results agree well with the practical records, which shows that the proposed method is effective in prediction of rockburst.
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