Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …

Predicting the bearing capacity is one of the tasks that geotechnical engineers do on a daily
basis, yet the accuracy of the available methods needs to be further improved. This paper …

This study is devoted to investigate the behavior of a single footing resting on a soft soil
reinforced by four rigid inclusions (RI) using an Artificial Neural Network (ANN). Full-scale …

The bearing capacity of soil in general is considered a key parameter in the field of
geotechnical engineering, requiring field investigations and extensive testing to eliminate …

The present study focuses on the development of an Artificial Neural Network (ANN) model
equation to estimate the settlement of a shallow strip footing resting on granular soils due to …

The investigation of the ultimate bearing capacity (UBC) of shallow foundations has
consistently been a significant area of study within the realm of geotechnical engineering …

Purpose: The present study aims to apply soft computing techniques, Artificial Neural
Network (ANN) and M5P model tree, to predict the ultimate bearing capacity of the H plan …

An allowable bearing capacity formulation of strip foundations is developed for unsaturated
soils under the non–hydrostatic in–situ stress. Four cases are analyzed according to both in …

To predict the undrained shear strength (S u) for the fine-grained soil has been following the
cone penetration test (CPT) and pore pressure (u) measurements, even though the …

The present study focuses on the development of an Artificial Neural Network (ANN) model
equation to estimate the average ultimate load of shallow circular foundation on a sand layer …