IMHE OpenIR  > 山地灾害与地表过程重点实验室
Alternative TitleReliability Analysis of Slopes Based on Extreme Learning Machine
宋永东1,2; 苏立君1,2,3; 张崇磊1; 孙长宁1,2; 屈新1,2
Source Publication长江科学院院报
Contribution Rank1
Other AbstractAs the limit state function of slope cant be explicitly expressed,conventional methods for slope reliability analysis are disadvantageous for difficulties and cumbersome calculation. A method for slope reliability analysis is proposed by combing the finite difference method of FLAC~(3D) and the extreme learning machine (ELM) . Samples of random variables are generated through uniform experimental design,and the safety factors of these random variables are calculated through the strength reduction method of FLAC~(3D). The mapping relationship between safety factors and random variables are obtained to construct the response surface function through the powerful fitting ability of ELM. Furthermore,a large number of random numbers generated by Monte-Carlo method are introduced into the function fitted by ELM to calculate the failure probability and reliability index of slope. Comparison with other methods through case study manifests that the proposed method is easy to be realized with reliable result.The research result provides a new approach for reliability analysis of slope,which is of broad application prospect.
Keyword边坡可靠度 极限学习机(ELM) 响应面功能函数 强度折减法 蒙特卡罗模拟 失效概率
Indexed ByCSCD
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Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Author苏立君
Affiliation1.中国科学院水利部成都山地灾害与环境研究所 山地灾害与地表过程重点实验室,成都 610041;
2.中国科学院大学,北京 100049;
3.中国科学院 青藏高原地球科学卓越创新中心,北京 100101
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
宋永东,苏立君,张崇磊,等. 基于极限学习机的边坡可靠度分析[J]. 长江科学院院报,2018,35(8):78-83.
APA 宋永东,苏立君,张崇磊,孙长宁,&屈新.(2018).基于极限学习机的边坡可靠度分析.长江科学院院报,35(8),78-83.
MLA 宋永东,et al."基于极限学习机的边坡可靠度分析".长江科学院院报 35.8(2018):78-83.
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