FAN Yanyang, JI Weibin, GUO Ping. Partition Prediction Model for Hidden Danger of Roof Fall and Its Application Practice[J]. Safety in Coal Mines, 2019, 50(1): 214-218.
    Citation: FAN Yanyang, JI Weibin, GUO Ping. Partition Prediction Model for Hidden Danger of Roof Fall and Its Application Practice[J]. Safety in Coal Mines, 2019, 50(1): 214-218.

    Partition Prediction Model for Hidden Danger of Roof Fall and Its Application Practice

    • To solve the problem of supporting safety of underground tunnels with large sections, referring to the research theories of the influencing factors of roof fall mechanism and roof stability by scholars in the industry, combining mathematical analysis with actual observations, analytic hierarchy process and weighted average method are used to deal with different factors affecting the stability of the roof stability, a roof stability evaluation system with accurate quantification, simple inspection, and clear hierarchy of indicators is established, and a partition prediction model is designed. After the opening practice of Jinjie Mine, this roof stability prediction method is accurate, it can reinforce the targeted support measures for the existing dangerous areas with weak roadway.
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