Application of recent optimization algorithms on slope stability problems

Thesis Type: Postgraduate

Institution Of The Thesis: Orta Doğu Teknik Üniversitesi, Faculty of Engineering, Department of Civil Engineering, Turkey

Approval Date: 2018


Supervisor: ONUR PEKCAN


Stability analysis of earth slopes in general involves determining the minimum factor of safety (FS) associated with the most critical failure surface. This objective is too challenging to accomplish considering the broad diversity of slope problems in geometry, geotechnical parameters of the soil, location of the groundwater table, and condition of the external loadings. Robust optimization techniques, however, have recently performed well in determining safety factors of various man-made and natural slopes of different complexities simultaneous with fast and confidently locating the corresponding slip surfaces. In this study, three recently developed optimization methods, Hybrid Artificial Bee Colony algorithm with Differential Evolution (HABCDE), Grasshopper Optimization Algorithm (GOA) and improved harmony search algorithm (LHS), are combined with a non-circular surface generation scheme to identify location of the slip surface. To evaluate the safety factor along each slip surface, a concise algorithm of the Morgenstern-Price method is employed in the analyses. Results obtained through application of the proposed methods into three case studies including different layers and geometries indicates that HABCDE outperforms the two other methods both on fast convergence and accuracy in the minimization procedure which makes it comparable to the best methods implemented in slope stability analysis to date.