岩爆灾害的灰类白化权函数聚类预测方法

Rockburst Prediction Method Based on Grey Whitenization Weight Function Cluster Theory

岩爆是高应力岩石地下工程中的地质灾害.将岩爆与其影响因素之间的关系作为灰色系统,提出采用灰类白化权函数聚类的预测方法对岩爆灾害进行预测.选取岩石弹性能量指数、脆性系数和围岩最大切向应力与岩石单轴抗压强度的比值作为岩爆灾害预测的主要影响因子,并构造了适于岩爆预测的各聚类指标的白化权函数.采用本文提出的方法对国内外一些岩石地下工程实例进行了分析,并与工程实际情况进行了对比,研究结果表明,本文提出的基于灰类白化权函数聚类的岩爆灾害预测方法具有较高的预测精度.

Rockburst is a kind of geological catastrophe, which occurs in the underground rock engineering of high in-situ rock stresses areas. The relationship between the rockburst and its influence factors was treated as the grey system. The rockburst prediction method based on grey whitenization weight function cluster theory was proposed. The rock elastic energy index, brittleness coefficient and the ratio of the maximum tangential stress of surrounding rock to the rock uniaxial compressive strength was chosen as the main control influence factors for predicting rockburst. The whitenization weight function of the cluster index, which is suitable for rockburst prediction, was constructed. A series of underground rock projects at home and abroad, was evaluated with the proposed grey cluster method. The evaluated results agree well with the practical records,and show that the proposed method has better prediction precision.