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统计国内外部分岩爆数据并作为已知样本,以目前应用较多的影响岩爆预测与评价的3个主要因素为研究指标,即洞室最大切向应力与岩石单轴抗压强度比、岩石单轴抗压强度与岩石单轴抗拉强度比和弹性能量指数,建立岩爆预测的聚类分析模型。根据各因素重要性的不同,采用组合赋权的方法对3个指标赋以一定的权重,使得岩爆数据更加科学合理。采用系统聚类分析法对各岩爆样本数据进行处理和分析,并对5处岩爆实例进行烈度等级预测。结果表明,采用该方法能较好地对岩爆进行分类,并且能够比较准确地预测岩爆发生情况,为岩爆预测提供了另一种依据。
Statistics of some rockburst data at home and abroad are taken as known samples. Taking the three main factors that affect the prediction and evaluation of rockburst nowadays as the research index, that is, the maximum tangential stress in the cavern and the uniaxial compressive strength ratio of rock, Rock uniaxial compressive strength and rock uniaxial tensile strength ratio and elastic energy index, the establishment of rock burst prediction clustering analysis model. According to the different importance of each factor, the method of combinatorial empowerment is used to assign certain weights to the three indicators, making the rockburst data more scientific and reasonable. The data of rockburst samples were processed and analyzed by the method of cluster analysis, and the intensity classes of five rockburst cases were predicted. The results show that the method can be used to classify rockburst well and predict the rockburst more accurately, providing another basis for rockburst prediction.