基于熵权属性识别模型的岩体质量分级

Quality ClassificationofRockMass BasedonAttribute Recognition Modelof Entropy Weight

为克服岩体质量分级中确定评价指标权重系数带有专家打分的主观偏向性,利用熵理论客观地确定岩体质量分级评价指标的熵权系数,结合属性识别理论,建立岩体质量分级判别的属性识别模型。模型选取岩石单轴抗压强度、RQD值、结构面间距、结构面摩擦系数、岩体钻进速度和岩体声波速度6个参数作为岩体质量分级综合评价指标,以三山岛金矿7个采场为研究背景,建立岩体质量分级的属性识别模型,根据信息熵理论计算各评判指标的权重,计算各指标属性测度,利用置信度准则和评分准则,预测岩体质量排序和等级。研究结果表明,属性识别结果较RMR法更准确,评价结果客观、可信。

In order to overcome subjective and erroneous tendency problems existing in expert determination methods in assessmentof classification for rock mass quality, an attribute recognition model for rock mass quality classification criterion is established basedon the entropy weight theory which can confirm the relevant entropy coefficients of evaluation indexes and combines the attributerecognition theory. The model chooses rock uniaxial compressive strength, RQD, structural face interval, friction coefficient, rockdrilling speed and acoustic velocity of rock mass as the comprehensive evaluation indexes. The paper takes seven stopes of Sanshanisland gold mine as the research background to develop the model. And it has successfully given＇an attribute measure for each indexbased on its weight, and obtained the ranking and classification of rock quality according to the criterions of confidence degree andrating. The result shows that the attribute recognition results are more accurate than those of RMR method, and that the evaluationresults are objective and reliable.