岩体质量分级的组合赋权云模型

(1.西安科技大学 地质与环境学院,陕西 西安 710054; 2.成都理工大学 地质灾害防治与地质环境保护国家重点实验室,四川 成都 610069)

地质工程; 岩体质量分级; 云模型; 组合赋权; 云发生器; 综合确定度

Combined weight cloud model of rock mass quality classification
TANG Hao1,2,DUAN Zhao1,2,TANG Sheng-li1,WANG Dong-po2,ZENG Peng2

(1.College of Geology and Environment,Xi'an University of Science and Technology,Xi'an 710054,China; 2.State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610069,China)

geology engineering; quality classification of rock mass; combined weight; cloud model; cloud generator; comprehensive degree of certainty

DOI: 10.13800/j.cnki.xakjdxxb.2019.0112

备注

岩体质量分级是一个复杂的工程决策问题,不仅具有模糊性及不确定性特征,而且用于分级评价的因子权重难以准确确定。基于云模型处理模糊性和不确定性问题的独特优势,同时借助组合赋权技术,提出组合赋权-云模型的岩体质量分级评价模型。该模型选用岩石单轴抗压强度σc,岩石质量指标RQD,结构面间距Jd,结构面摩擦系数f,岩体钻进速度T及岩体声波波速V作为岩体质量等级评价因子,根据单指标岩体质量分级标准计算各评价因子隶属于不同岩体质量等级的云数字特征。同时,以相关岩体质量分级案例为对象,在德尔菲法及变异系数法求得的评价因子权重基础上,基于距离函数约束思路获得组合赋权后的评价因子综合权重。再依据正向正态云发生器,得到待评案例样本的综合确定度,由最大综合确定度判定岩体质量等级。云模型应用结果与其他评价方法应用结果对比分析表明,组合赋权-云模型在岩体质量分级应用中具有良好的适用性和可靠性,为岩体质量分级评价提供了一种新思路。

Quality classification of rock mass is a complicated decision problem of project.It has not only characteristics of fuzzy and uncertainty,but also the weight of evaluation factor is difficult to determine accurately.For this purpose,on the basis of advantage of cloud model for dealing with fuzzy and uncertainty problem and by combined weight technology,an evaluation model for quality classification of rock mass based on combined weight and cloud model is proposed.Uniaxial compressive strength of rock,rock quality indicator,structural face interval,friction coefficient of structural face,drilling speed and acoustic of rock mass are selected as evaluation factors of model,and according to the criterion of quality classification of rock mass,and on the basis of quality classification criterion of rock mass,each evaluation factor is calculated using the characteristics of cloud number of quality levels of rock mass.Taking the relevant cases of quality classification of rock mass as object,and on the basis of evaluation factors weight which are got by Delphi and variance coefficient method,the comprehensive weights of evaluation factors are got based on constrains of distance function.The comprehensive degrees of certainty of samples for evaluation are calculated by the positive normal cloud generator,and the quality level of rock mass is finally specified by the maximum certainty degree.Comparing application of the cloud model with the other methods,it shows that combined weight-cloud model has good applicability and reliability for the quality classification of rock mass,and is a new idea for quality classification of rock mass.