Prediction of the safety factor and the failure surface for slope stability analysis using Jaya optimization method


Türker E.

GEOMECHANICS AND ENGINEERING, cilt.40, sa.5, ss.339-351, 2025 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 5
  • Basım Tarihi: 2025
  • Doi Numarası: 10.12989/gae.2025.40.5.339
  • Dergi Adı: GEOMECHANICS AND ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aquatic Science & Fisheries Abstracts (ASFA), Compendex
  • Sayfa Sayıları: ss.339-351
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In geotechnical engineering, the limit equilibrium technique is known as a widely used method in slope stability analyses. There are many different methods in the literature for this technique to be used in slope stability analyses. Among these methods, the Morgenstern-Price method provides more realistic results compared to other methods since it considers equilibrium conditions of both force and moment and thus provides solutions. Therefore, this study integrates the Morgenstern-Price (M-P) method with the Jaya optimization algorithm to determine critical failure surfaces and safety factors in slope stability analysis. Since finding the minimum safety factor and the associated critical failure surface is essentially an optimization problem, Jaya algorithm, which is one of the many algorithms for solving this optimization problem and also works faster and reaches the result in a shorter time due to its simple structure, was used. For the purpose of examining the performance and currency of this optimization method, two case studies are analyzed and compared with existing optimization methods. The results demonstrate that the Jaya algorithm achieves comparable or improved performance in identifying critical failure surfaces while maintaining computational efficiency.