Research on slope stability assessment methods: a comparative analysis of limit equilibrium, finite element, and analytical approaches for road embankment stabilization

• Published in: AI in Civil Engineering Vol. 4; no. 1; p. 2
• Main Authors: Gael, Chebou Nkenwoum, Luc Leroy, Mambou Ngueyep, Christian, Fokam Bobda
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.12.2025; Springer; Springer Nature B.V
• Subjects: Analysis; Artificial Intelligence; Civil Engineering; Comparative analysis; Construction accidents & safety; Dry season; Engineering; Machine learning; Methods; Original Article; Precipitation; Roads & highways; Seismic engineering; Simulation methods; Support vector machines; Surveys; Cameroon; Embankment; Slope stability; Safety factor; Cuttings
• ISSN: 2097-0943; 2730-5392; 2730-5392
• DOI: 10.1007/s43503-024-00046-2

In this study, a comprehensive assessment of slope failure risk in man-made slopes was conducted, focusing specifically on the embankments in the excavated regions along the Tibati-Sengbe road in the Adamawa region of Cameroon. The primary objective of this study was to analyze the stability of these slopes and determine the safety factors that should be considered in their stabilization. To achieve this goal, a field survey was conducted to identify and characterize the areas at risk. The stability assessment was performed employing sophisticated numerical methods, including the Limit Equilibrium Method (LEM) utilizing the Bishop Method, the Finite Element Method (FEM) through the Plaxis Method, and the Analytical Method (AM) based on Taylor's Abacus. Ten slopes with homogeneous soil composition but varying geotechnical and geometric properties were selected as the objects for simulations, which were performed using the software packages ROCSCIENCE (Phase 2) for LEM and PLAXIS for FEM. The results indicated a high degree of consistency between the FEM and LEM methodologies, with an R 2 correlation approaching 1 in their comparison. Nonetheless, the AM yielded conflicting results in 60% of cases, emphasizing the fundamental significance of numerical methods in evaluating slope stability. The findings of this study discredit the effectiveness of analytical methods in determining safety factor calculations and highlight the accuracy and reliability of the FEM and LEM techniques given their consistent results.