In this study, the quantitative effect of the random distribution of the soil material properties to
the probability density functions of the failure load and displacements is presented. A …

The characteristics of soft soil, such as low shear strength and permeability with high water
content and compressibility, pose a significant challenge for constructing structures and …

In this article, a set of neural networks for the prediction of the stresses and the
corresponding strains at failure of cohesive soils when subjected to a load of a shallow …

Soft clay soils are in many coastal areas, these soils generally have high compressibility and
don't provide required bearing capacity. Various techniques are used to improve these soils …

In this article, a quantitative numerical study of the random distribution of the soil material
parameters to the probability density functions of the failure load and failure displacements …

The precise estimation of bearing capacity (qrs) of stone columns reinforced with geogrid is
crucial given the intricate nature of geotechnical materials and geological factors. However …

A collection of feed forward neural networks (FNN) for estimating the limit pressure load and
the according displacements at limit state of a footing settlement is presented. The training …

In this work, a quantitative uncertainty estimation of the random distribution of the soil
material properties to the probability density functions of the failure load and failure …

Many coastal areas have soft clay soils, characterized by high compressibility and low
bearing capacity. There are several methods for improving soil characteristics, one of which …

The use of industrial waste (ash) in large-scale earthworks for civil engineering applications
such as construction of highway embankments, the rise of ash dykes, the filling low-lying …