基于熵权-理想点法的岩爆烈度预测模型及其应用

Research and application of rockburst intensity prediction model based on entropy coefficient and ideal point method

基于理想点法的基本原理,在综合考虑岩爆主要影响因素的基础上,选取围岩最大切向应力与岩石单轴抗压强度的比值、岩石单轴抗压与抗拉强度的比值和岩石弹性能量指数作为评判指标,通过信息熵理论确定各指标的权重系数,建立岩爆发生和烈度分级预测模型。最后,将其应用于苍岭隧道的岩爆等级判别中。研究表明,预测结果与实际岩爆情况相吻合,运用熵权-理想点法进行岩爆烈度分级预测是可行的。

Based on the ideal point method, a model for predicting and classifying rockbursts was established. Consider- ing the key affecting factors of rockburst comprehensively, three factors were selected as evaluation indexes including the ratio of maximum tangential stress and rock uniaxial compressive strength, the ratio of compressive and tensile strength of rock and elastic energy index. The weight coefficients of these evaluation indexes were infirmed by the in- formation entropy theory. Finally, the model of rockburst classification based on the entropy and the ideal point method was applied to Cangling Tunnel. The research shows that the prediction results are in good agreement with practical sit- uation of rockburst and the prediction model is reliable.