摘要
为对岩体质量进行评价,提出了采用熵权-云模型建立岩体质量评价体系。综合选择岩石单轴抗压强度、岩石质量指标、节理间距、节理条件、地下水条件和地应力等6个影响因子作为岩体质量评价的指标,建立了相应的评价指标体系;通过对各评价指标分级,确定云数字特征,在此基础上生成单指标评价云图,并计算指标确定度;采用信息熵理论确定各指标权重,通过计算综合确定度确定评价等级。将建立的熵权-云评价模型应用到某金矿矿区岩体质量分级工作中,并将分析结果与RMR法进行对比,结果显示两类方法的评价结果相符,说明熵权-云模型在岩体质量分级评价中具有一定的可靠性,为岩体质量分级评价提供了一条新思路。
In order to evaluate the quality ol rock mass,a cloud model with entropy weight was put forward to establish a rock mass quality evaluation system. Six influencing factors, including a uniaxial compressive strength,rock quality index,joint spacing,joint conditions, groundwater conditions and stress, were taken as indexes for comprehensively evaluating rock quality,and a corresponding evaluation index system was established. On the basis of the classification of evaluation indexes and determination of digital characteristics ol cloud, a single index cloud chart was generated for calculating certainty degree ol indexes. Then,the weight of each index was determined by using information entropy theory,and the evaluation grade was determined by calculating the comprehensive degree of certainty. Finally,this cloud evaluation model with entropy weight was applied into the rock mass classification for a gold mine. The analysis results were compared with that by RMR method,and it is found that two results are consistent with each other,indicating it is reliable and feasible for the cloud model with entropy weight used for an evaluation of rock mass quality classification.
出处
《矿冶工程》
CAS
CSCD
北大核心
2018年第1期20-24,共5页
Mining and Metallurgical Engineering
基金
云南省重点科研项目(KKSY201521064)
关键词
岩体评价
熵权
云模型
岩体质量分级
评价指标
RMR法
rock mass evaluation
entropy weight
cloud model
rock mass quality classification
evaluation index
RMR method
