Abstract
Various uncertainties exist in slope engineering, such as inherent spatial variability of soils and uncertainties in underground stratigraphy. These uncertainties can be taken into account in probabilistic slope stability analysis through Monte Carlo Simulation （ MCS ）. MCS has been widely used in probabilistie slope stability analysis because of its robustness and conceptual simplicity. It, however, suffers from a lack of efficiency and resolution at small probability levels. This paper develops a MCS-based probabilistic slope stability analysis method that imple- ments an advanced MCS called ＂Subset Simulation＂ in a spreadsheet environment, Microsoft EXCEL, for improving efficiency and resolution at relatively small probability levels. The reliability analysis is deliberately decoupled from the deterministic slope stability analysis. For illustration, the proposed method is applied to study a design scenario of the James Bay Dyke. Finally, the effect of critical slip surface uncertainty is explored.
| Translated title of the contribution | Probabilistic Slope Stability Analysis Using Subset Simulation |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 425 - 429 |
| Journal | 地下空間與工程學報 |
| Volume | 9 |
| Issue number | 2 |
| Publication status | Published - 15 Apr 2013 |