Advanced hypoplastic constitutive model is used in probabilistic analyses of a typical geotech- nical problem, strip footing. Spatial variability of soil parameters, rather than state variables, is studied by means of random field Monte-Carlo simulations.
The model, including correlation length, was calibrated using a comprehensive set of experimental data. Foundation displacement uy for given load follows closely lognormal distribution, even though some model parameters are distributed normally.
The vertical correlation length θv was found to have minor effect on μ[uy ], but significant effect on σ[uy ], which decreases with decreasing θv due to spatial averaging. Applicability of a simpler probabilistic method (FOSM) is also discussed.