Bearing Capacity of Strip Footings on Spatially Random Soils Using Kriging and Monte Carlo Simulation

Abstract

Abstract. The probabilistic analysis of geotechnical structures presenting spatial variability in the soil properties is generally performed using Echard et al. (2011). The present study involves a probabilistic analysis at the ultimate limit state of a strip footing resting on a spatially varying soil using AK-MCS approach. The objective is the computation of the probability P f of exceeding the ultimate bearing capacity of the footing under a prescribed footing load. The soil cohesion and angle of internal friction were considered as two non-isotropic non-Gaussian random fields. The deterministic model was based on numerical simulations using the finite difference code FLAC 3D . Some probabilistic results are presented and discussed.