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矿井冲击地压危险性预测的多因素模式识别 被引量:28

Multi-factor Pattern Recognition Method for Predicting Mine Rock Burst Risk
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摘要 为预测矿井冲击地压的危险区域,提出基于冲击地压危险性划分的多因素模式识别概率预测方法。以跃进煤矿为例,定量分析矿井预测区域中影响冲击地压发生的因素,建立多因素模式识别概率预测模型;确定冲击地压危险性的概率预测准则。将预测区域划分为有限个单元网格,计算单元网格内的危险性概率值。依据概率值,最终确定矿井预测区域的冲击地压危险性等级(无、弱、中等、强和冲击地压极危险),并提出相应的治理措施。 In order to predict mine rock burst hazardous areas, a multi-factor pattern recognition prediction method was advocated, which was based on mine rock burst risk prediction division. Taking Yuejin Coal Mine as the research object, the factors affecting rock bursts in the prediction region were analyzed quantita- tively. A multi-factor pattern recognition probability model was built. Rock burst hazardous probability prediction criteria were established. As a basis , the study region was divided into finite element squares, and the risk probabilities in element squares were acquired. Rank in rock burst mine prediction area According to the probabilities,risk levels of rock burst of areas in the nredictinn r~,inn w,~r,~ ,t,~t,~,~;,,~,t
出处 《中国安全科学学报》 CAS CSCD 北大核心 2013年第3期33-38,共6页 China Safety Science Journal
基金 国家自然科学基金资助(51274117) 国家自然科学基金青年基金资助(51104085) 煤炭资源与安全开采国家重点实验室开放研究基金资助(11KF05) 矿山热动力灾害与防治教育部重点实验室开放基金资助(JSK200212)
关键词 冲击地压 多因素模式识别 概率预测 危险性概率 危险区域 rock burst multi-factor pattern recognition probability prediction risk probability values hazardous area
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