岩爆预测的Vague集模型

为合理准确地预测岩爆烈度,提出了一种新的Vague集岩爆预测模型。选取岩石单轴抗压强度、硐室最大切向应力、岩石抗拉强度及岩石弹性能量指数进行分析,并采用Vague熵确定各指标权重。将传统岩爆烈度等级细化为若干微元等级,基于Vague集的相似度量建立岩爆预测模型,根据相似度量曲线预测岩爆烈度等级。将国内外30个岩爆实例参数代入该模型进行验证,结果表明该模型具有较高的准确性。最后将该模型应用于马路坪矿和大相岭隧道的岩爆预测,结果与实际情况相符,且可预测处于同一传统岩爆等级中不同岩爆实例的烈度大小,提高了岩爆预测精度,为岩爆预测提供了一种新方法。

Vague Set Model for Rockburst Prediction

In order to predict rockburst intensity more accurately, a new Vague model for rockburst prediction was proposed. Uniaxial compressive strength, the maximum tangential stress, tensile strength and elastic energy index were chosen as indexes to predict rockburst intensity, and the weight of each index was determined by Vague entropy. The traditional rockburst intensity was classified into several micro element grades, and a rockburst prediction model was established based on the similarity measure of Vague set. The rockburst intensity grade was then determined according to the similarity measurement curve. The verification with data of 30 rockburst specimen at home and abroad input into the model has indicated the model with a high prediction accuracy. The model was applied into prediction of rockburst for Maluping Mine and Daxiangling Tunnel, and the obtained results were consistent with the practical rockburst intensity. The rockburst intensity with the same traditional rockburst grade can be also predicted with this model, indicating such model can provide a new method for rockburst prediction with an improved  accuracy.