System reliability analysis of soil slopes with general slip surfaces using multivariate adaptive regression splines

被引:73
作者
Metya, Subhadeep [1 ,2 ]
Mukhopadhyay, Tanmoy [1 ]
Adhikari, Sondipon [1 ]
Bhattacharya, Gautam [2 ]
机构
[1] Swansea Univ, Coll Engn, Swansea SA1 8EN, W Glam, Wales
[2] Indian Inst Engn Sci & Technol, Dept Civil Engn, Sibpur, India
关键词
Slope stability; General slip surface; System reliability analysis; Multivariate adaptive regression splines; Monte Carlo simulation; Noise; PROBABILISTIC STABILITY ANALYSIS; RESPONSE SURFACES; SEARCH ALGORITHM; EARTH SLOPES; INDEX; MODEL;
D O I
10.1016/j.compgeo.2017.02.017
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A data driven multivariate adaptive regression splines (MARS) based algorithm for system reliability analysis of earth slopes having random soil properties under the framework of limit equilibrium method of slices is considered. The theoretical formulation is developed based on Spencer method (valid for general slip surfaces) satisfying all conditions of static equilibrium coupled with a nonlinear programming technique of optimization. Simulated noise is used to take account of inevitable modeling inaccuracies and epistemic uncertainties. The proposed MARS based algorithm is capable of achieving high level of computational efficiency in the system reliability analysis without significantly compromising the accuracy of results. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:212 / 228
页数:17
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