Application of interval field method to the stability analysis of slopes in presence of uncertainties

authored by: Chengxin Feng, Matthias Faes, Matteo Broggi, Chao Dang, Jiashu Yang, Zhibao Zheng, Michael Beer
Abstract: Spatial uncertainty of soil parameters has a significant impact on the analysis of slope stability. Interval field analysis is emerging as a complementary tool of the conventional random field method that can take spatial uncertainty into account, which, however, has not been investigated in slope stability analysis. The present paper proposes a new method, named the interval field limit equilibrium method (IFLEM), for assessing the stability of slope in the presence of the interval field. In this method, the modified exponential function is introduced to characterize the spatial uncertainty of the interval field and the Karhunen–Loève-like decomposition is employed to generate the interval field. Then, in a single calculation, the deterministic slope stability analyzed by the Morgenstern–Price approach is implemented in order to estimate the safety factor. Subsequently, the upper and lower bounds of the interval of safety factor are efficiently evaluated by a kind of surrogate-assisted global optimization algorithms, such as Bayesian global optimization used in this study. Finally, the effectiveness of the proposed method is verified by three numerical examples. The results indicate that the proposed method can provide reasonable accuracy and efficiency, which is potentially applicable to a number of geotechnical systems.
Organisation(s): Institute for Risk and Reliability
External Organisation(s): TU Dortmund University
Tongji University
University of Liverpool
Type: Article
Journal: Computers and geotechnics
Volume: 153
ISSN: 0266-352X
Publication date: 01.2023
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Geotechnical Engineering and Engineering Geology, Computer Science Applications
Electronic version(s): https://doi.org/10.1016/j.compgeo.2022.105060 (Access: Closed)