自然科学版 英文版
自然科学版 英文版
自然科学版 英文版

您目前所在的位置:首页 - 期刊简介 - 详细页面

中南大学学报(自然科学版)

Journal of Central South University

第46卷    第10期    总第254期    2015年10月

[PDF全文下载]    [Flash在线阅读]

    

文章编号:1672-7207(2015)10-3872-07
约简概念格与模糊优选在地下工程岩体质量评判中的应用
邬书良,陈建宏,周智勇,杨珊

(中南大学 资源与安全工程学院,湖南 长沙,410083)

摘 要: 为了对地下工程岩体质量进行正确评判并提高评判效率,利用约简概念格对影响地下工程岩体稳定性的5项指标进行约简。5项指标分别为岩石质量指标、岩石单轴饱和抗压强度、完整性系数、结构面强度系数和地下水渗水量。以广州抽水蓄能电站1期地下工程岩体17 组实测数据和8 组插值数据作为学习样本,利用约简概念格对指标约简后得到岩石质量指标、岩石单轴饱和抗压强度和结构面强度系数这3项指标,用模糊优选法对约简后样本进行岩体质量评判,评判结果与实测结果吻合,然后将该模型用于该电站2 期地下工程岩体质量评价。研究结果表明:利用约简概念格与模糊优选构建的模型的评判结果和粗糙集-逼近理想解的排序法(RS-TOPSIS)、突变级数法、人工神经网络(ANN)和支持向量机(SVM)的评判结果一致。利用约简概念格与模糊优选构建的模型减少了评判所需的指标,提高了评判效率。

 

关键字: 地下工程;岩体质量评判;属性约简;约简概念格;模糊优选法

Application of reduced concept lattice and fuzzy optimum selection in rock mass quality evaluation of underground engineering
WU Shuliang, CHEN Jianhong, ZHOU Zhiyong, YANG Shan

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

Abstract:In order to evaluate rock mass quality of underground engineering correctly and improve efficiency, reduced concept lattice was used to reduce factors which controlled the stability of underground rock. The five factors involved were rock quality designation, uniaxial compressive strengthen, integrality coefficient, strengthen coefficient of structural plane and seepage measurement of groundwater, respectively. 17 samples of the first stage underground project in Guangzhou pump accumulator electricity station and another 8 samples produced by the interpolation method were taken as the learning samples. Reduced concept lattice was used to reduce factors and 3 factors including rock quality designation, uniaxial compressive strengthen and strengthen coefficient of structural plane were retained. Then fuzzy optimum selection was used to evaluate rock mass quality of the reduced samples, and evaluation results were consistent with measured results. Then the model was applied to predict the evaluation of the second stage project. The results show that the evaluation results using reduced concept lattice and fuzzy optimum selection agree well with those of RS-TOPSIS method, the catastrophe progression method, artificial neural network(ANN) method, and support vector machine (SVM) method. The reduced concept lattice and fuzzy optimum selection model reduces the required control factors and improves the efficiency of the evaluation.

 

Key words: underground engineering; rock quality evaluation; attribute reduction; reduced concept lattice; fuzzy optimum selection

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
版权所有:《中南大学学报(自然科学版、英文版)》编辑部
地 址:湖南省长沙市中南大学 邮编: 410083
电 话: 0731-88879765(中) 88836963(英) 传真: 0731-88877727
电子邮箱:zngdxb@csu.edu.cn 湘ICP备09001153号