Volume 15, Issue 2 (4-2025)
IJOCE 2025, 15(2): 279-296 |
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Paknahad M, Hosseini P, Mazaheri A R, Kaveh A. OPTIMIZATION OF SLOPE CRITICAL SURFACES USING SA_EVPS ALGORITHM WITH SEEPAGE AND SEISMIC EFFECTS. IJOCE 2025; 15 (2) :279-296
URL: http://ijoce.iust.ac.ir/article-1-638-en.html
URL: http://ijoce.iust.ac.ir/article-1-638-en.html
1- Faculty of Engineering, Mahallat Institute of Higher Education, Mahallat, Iran
2- Faculty of Engineering, Ayatollah Borujerdi University, Borujerd, Iran
3- Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran-16, Iran
2- Faculty of Engineering, Ayatollah Borujerdi University, Borujerd, Iran
3- Center of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran-16, Iran
Abstract: (1045 Views)
This study presents a novel approach for optimizing critical failure surfaces (CFS) in homogeneous soil slopes by incorporating seepage and seismic effects through the Self-Adaptive Enhanced Vibrating Particle System (SA_EVPS) algorithm. The Finite Element Method (FEM) is employed to model fluid flow through porous media, while Bishop's simplified method calculates the Factor of Safety (FOS). Two benchmark problems validate the proposed approach, with results compared against traditional and meta-heuristic methods. The SA_EVPS algorithm demonstrates superior convergence and accuracy due to its self-adaptive parameter optimization mechanism. Visualizations from Abaqus simulations and comprehensive statistical analyses highlight the algorithm's effectiveness in geotechnical engineering applications. The results show that SA_EVPS consistently achieves lower FOS values with smaller standard deviations compared to existing methods, indicating more accurate identification of critical failure surfaces.
Keywords: Slope stability, Critical failure surface, SA_EVPS algorithm, Meta-heuristic optimization, Geotechnical engineering
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