基于熵权属性识别模型的岩体质量分级研究

刘志祥; 吴蝶媚; 唐志祥

doi:10.3981/j.issn.1000-7857.2014.22.008

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科技导报 ›› 2014, Vol. 32 ›› Issue (22) : 52-56. DOI: 10.3981/j.issn.1000-7857.2014.22.008

研究论文

基于熵权属性识别模型的岩体质量分级研究

作者信息 -

中南大学资源与安全工程学院, 长沙410083

作者简介:

刘志祥，教授，研究方向为采矿与岩石力学，电子信箱：liulzx@csu.com

Quality Classification of Rock Mass Based on Attribute Recognition Model of Entropy Weight

Author information -

College of Resources and Safety Engineering, Central South University, Changsha 410083, China

摘要

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。

Abstract

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

导出引用

刘志祥, 吴蝶媚, 唐志祥. 基于熵权属性识别模型的岩体质量分级研究[J]. 科技导报, 2014, 32(22): 52-56 https://doi.org/10.3981/j.issn.1000-7857.2014.22.008

LIU Zhixiang, WU Diemei, TANG Zhixiang. Quality Classification of Rock Mass Based on Attribute Recognition Model of Entropy Weight[J]. Science & Technology Review, 2014, 32(22): 52-56 https://doi.org/10.3981/j.issn.1000-7857.2014.22.008

中图分类号： TU45

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