院报 ›› 2017, Vol. 34 ›› Issue (5): 63-67.DOI: 10.11988/ckyyb.20160186

• 岩土工程 • 上一篇    下一篇

边坡安全系数与滑坡概率关系分析

饶运章a, b, 张学焱a, 利坚a, 李雪珍a, 王丹a   

  1. 江西理工大学 a.资源与环境工程学院; b.江西省矿业工程重点实验室,江西 赣州 341000
  • 收稿日期:2016-03-07 修回日期:2016-04-04 出版日期:2017-05-01 发布日期:2017-05-17
  • 作者简介:饶运章(1963-),男,江西会昌人,教授,博士生导师,博士,主要从事采矿工程、爆破工程和环境岩土等方面的研究,(电话)13979769340(电子信箱)raoyunzhang@sohu.com。
  • 基金资助:
    国家高新技术研究发展计划(863计划)项目(2012AA061901); 2011 年度江西省安全生产重大课题(JXAJ2011002); 2015年江西理工大学校级学术学位研究生创新专项资金项目(XS201551); 江西省研究生创新专项资金项目(YC2015-S307)

Relationship Between Slope Safety Factor and Landslide Probability

RAO Yun-zhang1, 2, ZHANG Xue-yan1, LI Jian1, LI Xue-zhen1, WANG Dan1   

  1. 1.School of Resources and Environmental Engineering, Jiangxi University of Science and Technology,Ganzhou 341000, China;
    2.Jiangxi Provincial Key Laboratory of Mining Engineering, Jiangxi University of Science and Technology,Ganzhou 341000, China
  • Received:2016-03-07 Revised:2016-04-04 Online:2017-05-01 Published:2017-05-17

摘要: 为了给安全系数和滑坡概率的相互转化提供理论依据,分析滑坡影响因素与安全系数、滑坡概率的函数关系,得出安全系数与滑坡概率之间的函数关系。采用极限平衡法分析滑坡影响因素与安全系数的函数表达式;应用逻辑回归模型分析滑坡影响因素与滑坡概率间的函数关系;结合赣南38个离子型稀土矿边坡实例,应用SPSS软件,求解各边坡的滑坡概率,并得出滑坡概率和安全系数的拟合函数。选取10个边坡实例,同时采用边坡安全系数工程规范对拟合函数进行检验,结果表明了函数关系的准确性。

关键词: 滑坡概率, 安全系数, 滑坡影响因素, 逻辑回归模型, SPSS

Abstract: Slope safety factor and landslide probability can be reflected by landslide’s influential factors. In this article, a function describing the relationship between safety factor and landslide probability was presented. The function between safety factor and influential factors was analyzed using the limit equilibrium method, and the relations between influential factors and landslide probability were then obtained using logistic regression model. The landslide probability of 38 ionic-type rare-earth ore slope in south Jiangxi Province were obtained by using SPSS software, and the fitted relation between safety factor and landslide probability was hence deduced. The fitted function was verified correct by engineering specification.

Key words: landslide probability, safety factor, landslide's influential factors, logistic regression model, SPSS

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