The major criteria that control pile foundation design is pile bearing capacity (Pu). The load
bearing capacity of piles is affected by the various characteristics of soils and the …

Axial bearing capacity of piles is the most important parameter in pile foundation design. In
this paper, artificial neural network (ANN) and random forest (RF) algorithms were utilized to …

Determination of pile bearing capacity is essential in pile foundation design. This study
focused on the use of evolutionary algorithms to optimize Deep Learning Neural Network …

This paper presents a hybrid model combining the extreme gradient boosting machine
(XGBoost) and the whale optimization algorithm (WOA) to predict the bearing capacity of …

Determining the load-bearing capacity of piles using the results of in situ tests is one of the
most widely used methods. The objective of this study is to examine suitable cone …

The ultimate bearing capacity of bored piles is an essential parameter in foundation design
of structure. In the present study, three Machine Learning (ML) methods namely Adaptive …

The determination of the bearing capacity of pile foundations is very important for their
design. Due to the high uncertainty of various factors between the pile and the soil, many …

Accurate prediction of pile bearing capacity is an important part of foundation engineering.
Notably, the determination of pile bearing capacity through an in situ load test is costly and …

Determining the ultimate bearing capacity of piled foundations has been one of the most
important problems in geotechnical engineering. It has been observed that the pile loading …

Improving the estimation of pile bearing capacity (P u) via the use of artificial intelligence (AI)
methods and field experiment data becomes an extremely important and complex …