The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …

A commonly-encountered problem in foundation design is the reliable prediction of the pile
bearing capacity (PBC). This study is planned to propose a feasible soft computing …

Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …

Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …

Estimating the bearing capacity of piles is an essential point when seeking for safe and
economic geotechnical structures. However, the traditional methods employed in this …

This study presents a novel artificial intelligence (AI) technique based on two support vector
machine (SVM) models and symbiotic organisms search (SOS) algorithm, called “optimized …

Piles are widely applied to substructures of various infrastructural buildings. Soil has a
complex nature; thus, a variety of empirical models have been proposed for the prediction of …

Predicting the pile's load capacity is one of the first steps of foundation engineering design.
In geotechnical engineering, there are different ways of predicting soil resistance, which is …

Rapid urbanization and rising land demand has necessitated the use of land space which
was considered unsuitable from the engineering point of view by rendering them suitable by …

Deep foundations are very important elements in the routine design of railways and bridges
when the loads applied due to these important structures are higher than the bearing …