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- Title
Efficient numerical-simulation-based slope reliability analysis considering spatial variability.
- Authors
Chen, Longlong; Zhang, Wengang; Paneiro, Gustavo; He, Yuwei; Hong, Li
- Abstract
Currently, numerical-simulation-based slope reliability analysis (NSB-SRA) considering spatial variability is still a time-consuming task. To address this problem, this study proposed an efficient numerical-simulation-based slope reliability analysis method. Dual dimensionality reduction technique is firstly employed to greatly reduce random variables that are required for establishing a limit-equilibrium-analysis-based multivariate adaptive regression splines (MARS) model. Then, response conditioning method is used to select the failure samples predicted by MARS model as samples for performing NSB-SRA. Finally, the proposed method is validated through two spatially variable slope examples. The results show that MARS + FDM is an efficient solution to perform NSB-SRA, especially for low-probability-level NSB-SRA problem. Besides, NSB-SRA is necessary for cases of horizontal scale of fluctuation, smaller vertical of fluctuation, larger variability of undrained shear strength, and stronger positive cross-correlation between cohesion and internal friction angle because neglecting NSB-SRA will lead to an unreliable assessment on slope reliability.
- Subjects
CONDITIONED response; INTERNAL friction; SHEAR strength; RANDOM variables; COHESION; SPLINES
- Publication
Acta Geotechnica, 2024, Vol 19, Issue 5, p2691
- ISSN
1861-1125
- Publication type
Article
- DOI
10.1007/s11440-023-02138-2