This article presents the results of stochastic numerical analyses evaluating the impact of soil spatial variability on the response of liquefiable deposits under earthquake loading. The analyses were conducted using the Finite Element platform OpenSees and incorporating the characteristics of dynamic centrifuge tests developed as part of the LEAP-2020 project. The mechanical behavior of Ottawa F-65 sand, the material used in the centrifuge tests, was modeled with a pressure-dependent, multi-surface plasticity constitutive model. The model's parameters were calibrated based on a series of undrained cyclic triaxial and cyclic simple shear tests under varying initial conditions. Deterministic simulations were conducted and compared with LEAP-2020 centrifuge experimental data to assess the performance of the adopted modeling framework. Subsequently, a stochastic analysis was performed using the Random Finite Element Method (RFEM), where soil relative density was represented as a spatially correlated Gaussian random field. Spatial variability was explored through a range of correlation lengths, defined as the characteristic distance over which soil density values remain statistically correlated. The results indicate that accounting for soil variability in geotechnical systems is a powerful approach to predict soil response within a confidence interval, supporting safer and more efficient geotechnical design.
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