There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …

Microbial-induced carbonate precipitation (MICP) and enzyme-induced carbonate
precipitation (EICP) are two bio-cementation techniques, which are relatively new methods …

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 …

This study proposes a novel hybrid MFO-XGBoost model that integrates the moth-flame
optimization (MFO) algorithm and the extreme gradient boosting (XGBoost) to predict the …

Friction capacity is a principal characteristic in designing driven piles. Considering the
complexities in analyzing the behavior of piles, many studies have recommended the use 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 …

A new forecast method is proposed in order to improve the estimation accuracy of the
ultimate bearing capacity (UBC) of single driven piles. The performance of the adaptive …

A correlation of creep index (C α) with high performance is highly recommended for soft clay
engineering practice. Current empirical correlations are only acceptable for a few clays. This …

Current multi-objective evolutionary polynomial regression (EPR) methodology has
difficulties on decision-making of optimal EPR model. This paper proposes an intelligent …

An accurate estimation of deep foundation bearing capacity in different types of soils with the
aid of the field experiments results is taken into account as the most important problems in …