Soils with spatially varying shear strengths are modeled using random field theory and elasto-plastic finite element analysis to evaluate the extent to which spatial variability and cross-correlation in soil properties ( and ) affect bearing capacity. The analysis is two dimensional, corresponding to a strip footing with infinite correlation length in the out-of-plane direction, and the soil is assumed to be weightless with footing placed on the soil surface. Theoretical predictions of the mean and standard deviation of bearing capacity, for the case where and are independent, are derived using a geometric averaging model and then verified via Monte Carlo simulation. The standard deviation prediction is found to be quite accurate, whil...
This paper presents an efficient method and its usage for the three-dimensional random bearing capac...
This paper describes a probabilistic study of the two dimensional bearing capacity of a vertically l...
International audienceA probabilistic model is presented to compute the probability density function...
This paper describes a probabilistic study of the two dimensional bearing capacity of a vertically l...
Abstract By merging elasto-plastic finite element analysis with random field the-ory, an investigati...
This paper studies the effect of soil spatial variability on bearing capacity of shallow foundations...
The study considers the bearing capacity of eccentrically loaded strip footing on spatially variable...
This paper investigates the effect of spatial correlation length on the behavior of an eccentrically...
In this study, a probabilistic approach for evaluating the bearing capacity of surface footings is d...
The paper presents the effect of the spatial variability of the soil properties on the ultimate bear...
The paper presents the effect of the spatial variability of the soil properties on the ultimate bear...
Abstract – This paper aims to apply a new methodology in bearing capacity analysis, often referred t...
Natural soil is one of the most variable materials as a result of physical and chemical changes. The...
Traditional design methods of bearing capacity of shallow foundations are deterministic in the sense...
This paper investigates stochastically the case of a shallow foundation resting on unsaturated heter...
This paper presents an efficient method and its usage for the three-dimensional random bearing capac...
This paper describes a probabilistic study of the two dimensional bearing capacity of a vertically l...
International audienceA probabilistic model is presented to compute the probability density function...
This paper describes a probabilistic study of the two dimensional bearing capacity of a vertically l...
Abstract By merging elasto-plastic finite element analysis with random field the-ory, an investigati...
This paper studies the effect of soil spatial variability on bearing capacity of shallow foundations...
The study considers the bearing capacity of eccentrically loaded strip footing on spatially variable...
This paper investigates the effect of spatial correlation length on the behavior of an eccentrically...
In this study, a probabilistic approach for evaluating the bearing capacity of surface footings is d...
The paper presents the effect of the spatial variability of the soil properties on the ultimate bear...
The paper presents the effect of the spatial variability of the soil properties on the ultimate bear...
Abstract – This paper aims to apply a new methodology in bearing capacity analysis, often referred t...
Natural soil is one of the most variable materials as a result of physical and chemical changes. The...
Traditional design methods of bearing capacity of shallow foundations are deterministic in the sense...
This paper investigates stochastically the case of a shallow foundation resting on unsaturated heter...
This paper presents an efficient method and its usage for the three-dimensional random bearing capac...
This paper describes a probabilistic study of the two dimensional bearing capacity of a vertically l...
International audienceA probabilistic model is presented to compute the probability density function...