基于CRITIC-有限区间云模型的边坡稳定性评价

针对岩质边坡危险性分级的不确定性,选取坡高、坡角岩体结构特征、岩石单轴抗压强度等12项定量评价指标构建评价体系。根据有限区间云模型的相关概念和计算模型,求出露天采场边坡实测数据的云模型特征参数,利用正向云发生器生成云滴图进行量性概念的转化,通过改进的CRITIC法确定指标权重,进而求出不同采场隶属于不同危险等级的综合隶属度,实现边坡稳定性等级的划分。研究结果表明:评价结果与实际相符,利用CRITIC算法求取的权重值,可以考虑各评价指标的综合信息量以及指标间的相关性系数,使评判结果更具有准确性；同时可以快速准确判断出边坡稳定性分级,进行安全预测,为评价边坡的稳定性提供了新思路。

Evaluation of slope stability based on CRITIC finite interval cloud model

Aiming at the uncertainty of risk classification on rock slope, an evaluation system was constructed through selecting 12 quantitative evaluation indexes such as slope height, structure characteristics of slope angle rock, rock uniaxial compressive strength, etc. According to the relevant concepts and calculation models of finite interval cloud model, the characteristic parameters of cloud model based on the measured data of open pit stope slope were obtained. The conversion of quantitative concepts was carried out by the cloud droplet graph generated using the normal cloud generator, and the index weights were determined through the improved CRITIC method, thus the comprehensive membership degree of different stopes attaching to different risk levels were calculated, so as to realize the division of slope stability levels. The results showed that the evaluation results were consistent with the actual situation. The weight values obtained by CRITIC algorithm can consider the comprehensive information amount of each evaluation index and the correlation coefficient between the indexes, which makes the judgment results more accurate, meanwhile, the slope stability classification can be judged quickly and accurately to conduct the safety prediction, which provides new ideas for evaluating the stability of slopes.