چکیده مقاله
Understanding and accurately predicting slope failure probabilities is a major challenge in geotechnical engineering This study presents a comparative evaluation of Monte Carlo Simulation MCS and Subset Simulation SS methods for slope stability analysis using the Limit Equilibrium Method LEM Recognizing the limitations of deterministic approaches, particularly under uncertainty, probabilistic analysis was adopted with input parameters modeled as lognormally distributed random variables MCS, though intuitive and widely accepted, demands extensive computational effort, especially for low probability failure events Alternatively, SS improves efficiency by progressively guiding sampling toward the critical failure domain The study also accounts for the correlation between cohesion and friction angle, demonstrating its measurable impact on failure probability and result variability Findings revealed that SS achieves comparable accuracy to MCS while dramatically reducing the number of required simulations and computational time Probability density functions and cumulative probability curves for both methods were analyzed, indicating close agreement These results demonstrate the potential of Subset Simulation as a computationally efficient and robust alternative for probabilistic slope stability assessments, especially for rare event analysis
کلیدواژهها
نویسندگان
Hossein Ansari
Ph D student, Department of Civil and Environmental Engineering, Shiraz University
Ghassem Habibagahi
Professor, Department of Civil and Environmental Engineering, Shiraz University
Ehsan Nikooee
Associate Professor, Department of Civil and Environmental Engineering, Shiraz University
شیوه ارجاع
Ansari, Hossein and Habibagahi, Ghassem and Nikooee, Ehsan,1404,Probabilistic Slope Stability Analysis: Subset Simulation versus Monte Carlo approach,14th International Congress on Civil Engineering,Tehran
ارائهشده در
مجموعه مقالات چهاردهمین کنگره بین المللی مهندسی عمران29 مهر 1404 · تهران