دانيال كريمي

This study focuses on cantilever retaining walls embedded in dry san‎dy soils an‎d investigates how uncertainty in geotechnical an‎d structural parameters influences their seismic response. Using a probabilistic framework based on Monte Carlo simulation with Latin Hypercube Sampling, a suite of 44 far-field ground motions scaled to the intensity level of the Design Basis Earthquake (DBE), corresponding to a 10% probability of exceedance in 50 years, was applied to the numerical model. Three seismic deman‎d parameters peak wall-top displacement, maximum shear force, an‎d maximum bending moment were eva‎luated. The results show that uncertainty in soil parameters, particularly friction angle, density, an‎d shear modulus, leads to substantial response variability, increasing dispersion by approximately 30–40%. In contrast, uncertainty in the structural properties of the aluminum sheet-pile wall contributes less than 10% to overall variability. These findings highlight the critical importance of accurate geotechnical characterization in the seismic performance assessment of cantilever retaining walls.

ديوار حائل طره‌اي، عملكرد لرزه‌اي، شبيه‌سازي مونت‌كارلو، توزيع احتمالاتي، نرم‌افزار OpenSees، عدم قطعيت، نمونه‌برداري لاتين هايپركيوب

Cantilever retaining wall, seismic performance, Monte Carlo simulation, probabilistic distribution, OpenSees software, uncertainty, Latin Hypercube Sampling

Danial Karimi

Dr. Mohammad Hassan Baziar