基于因子敏感性的灰色关联度及其在斜坡稳定性预测中的应用  

Grey correlation degree based on sensitivity coefficient and its application in predicting the stability of slopes

作　　者：罗泽华[1] 黄吕卫 刘高[1] 张春峰[3] 

机构地区：[1]兰州大学土木工程与力学学院,西部灾害与环境力学教育部重点实验室,兰州730000 [2]中国能源建设集团甘肃省电力设计院有限公司,兰州730050 [3]中国电建西北勘测设计研究院有限公司,西安710000

出　　处：《兰州大学学报（自然科学版）》2016年第4期429-433,共5页Journal of Lanzhou University(Natural Sciences)

基　　金：国家重大基础研究发展计划(973计划)项目(2014CB744701)

摘　　要：基于灰色关联度理论,通过熵权法求取敏感系数,采用关联系数和敏感系数作积的方法来确定关联度.以兰州地区黄土斜坡稳定性预测为例,取重度、内摩擦角、内聚力、坡高、坡角为序列因子,运用改进方法对假定未知的斜坡稳定性进行预测,并与其实际状态和其他方法预测结果进行对比分析.结果表明改进后的方法能够准确反映边坡的稳定状态,证明了此方法的科学性和有效性,具有一定的实际意义.Based on the grey correlation degree theory,the sensitivity coefficient was calculated through the entropy weight method,and then the correlation degree was determined by multiplying the correlation coefficient and the sensitivity coefficient.Taking a loess slope in Lanzhou area as an example,the stability of unknown slopes were forecasted by the improved method and by considering the unit weight,angle of internal friction,cohesion,slope height and slope angle as the sequence of factors,and then comparing them with their actual states and the results of other methods.It has been proved that the improved method can accurately reflect the stability state of loess slopes,is scientific and effective in practice.

关 键 词：关联度 敏感系数 熵权法 斜坡稳定性 

分 类 号：P642[天文地球—工程地质学]