基于物元分析与云模型的地下工程围岩稳定性评价

发布时间：2019-08-06 11:06

【摘要】：针对以往地下工程岩体质量评判过程中存在的模糊性与随机性问题,根据岩石质量指标、岩石单轴饱和抗压强度、岩体完整性系数、结构面强度系数和地下渗水量这5项指标建立地下工程围岩稳定性评价指标体系.基于物元分析法,通过计算专家评判矩阵的效度物元及合成权重物元来确定评价指标的重要性.根据确定的评价标准,得到各评价因子隶属于各级别的综合云模型,并针对广州抽水蓄能电站二期地下工程岩体实测数据,先通过正向云发生器计算各评价因子所对应的各个评价级别的隶属度,再与其权重结合得到合成隶属度,然后以最大隶属度为依据判别出岩体稳定性所属级别.将该方法所得评价结果与约简概念格-模糊优选评判法、粗糙集-逼近理想解的排序法(RS-TOPSIS)进行对比,三者判别等级一致,表明该方法准确可靠,且免除了对大量样本的学习过程,能够克服评价指标定性语言和定量数值相互转换所产生的模糊随机性,可以用于地下工程岩体稳定性的评判.
[Abstract]:In view of the fuzziness and the stochastic problems existing in the quality evaluation of the rock mass in the past, according to the rock quality index, the uniaxial saturated compressive strength of the rock and the rock mass integrity coefficient, The evaluation index system of the stability of the surrounding rock of the underground engineering is set up according to the strength coefficient of the structural plane and the 5 indexes of the underground water seepage. Based on the matter-element analysis method, the importance of the evaluation index is determined by calculating the validity of the expert evaluation matrix and the element of the synthetic weight. According to the determined evaluation criteria, the evaluation factors are obtained under the comprehensive cloud model at all levels, and the membership degree of each evaluation level corresponding to each evaluation factor is firstly calculated through the forward cloud generator according to the measured data of the second-phase underground engineering rock mass of the Guangzhou Pumped Storage Power Station. And then combining with the weight of the rock mass to obtain the composite membership degree, and then judging the grade of the rock mass stability according to the maximum membership degree. in that method, the result of the evaluation obtained by the method is compared with a reduction concept lattice-fuzzy preference evaluation method, a rough set and an approach ideal solution (RS-TOPSIS), and the judgment grade is consistent, so that the method is accurate and reliable, and the learning process on a large number of samples is avoided, The fuzzy randomness generated by the qualitative and quantitative numerical values of the evaluation indexes can be overcome, and the evaluation of the stability of the rock mass of the underground engineering can be used.
【作者单位】：中南大学资源与安全工程学院;湖南辰州矿业博士后协作研发中心;
【基金】：国家自然科学基金资助项目(51504286) 中国博士后科学基金资助项目(2015M572270) 湖南省科技计划项目(2015RS4004)
【分类号】：TU457

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