期刊
ENGINEERING GEOLOGY
卷 203, 期 -, 页码 3-14出版社
ELSEVIER
DOI: 10.1016/j.enggeo.2015.09.003
关键词
Slope stability; Uncertainty; Reliability analysis; Response surface method; Computational efficiency; Accuracy
资金
- National Science Fund for Distinguished Young Scholars [51225903]
- National Basic Research Program of China (973 Program) [2011CB013506]
- National Natural Science Foundation of China [51329901, 51409196]
- Natural Science Foundation of Hubei Province of China [2014CFA001]
This paper reviews previous studies on developments and applications of response surface methods (RSMs) in different slope reliability problems. Based on the review, four types of soil slope reliability analysis problems are identified from the literature, including single-layered soil slope reliability problem ignoring spatial variability, single-layered soil slope reliability problem considering spatial variability, multiple-layered soil slope reliability problem ignoring spatial variability, and multiple-layered soil slope reliability problem considering spatial variability, which are referred to as Type I-IV problems in this study. Then, the computational efficiency and accuracy of four commonly-used RSMs (namely single quadratic polynomial-based response surface method (SQRSM), single stochastic response surface method (SSRSM), multiple quadratic polynomial-based response surface method (MQRSM), and multiple stochastic response surface method (MSRSM)) are systematically compared for cohesive and c-phi slopes, and their feasibility and validity in the four types of slope reliability problems are discussed. Based on the comparison, some suggestions for selecting relatively appropriate RSMs in slope reliability analysis are provided: (1) SQRSM is suggested as a suitable method for the single-layered soil slope reliability problem ignoring spatial variability (i.e., Type I problem); (2) MQRSM is applicable to the multiple-layered soil slope reliability problem ignoring spatial variability (i.e., Type III problem); and (3) MSRSM is suggested to solve slope reliability problems (including single-layered and multiple-layered slopes) considering spatial variability (i.e., Type II and IV problems). (C) 2015 Elsevier B.V. All rights reserved.
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