It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …

The collapse settlement of granular soil, which brings about considerable deformations, is
an important issue in geotechnical engineering. Several factors are involved in this …

In this study, a multivariate adaptive regression splines (MARS) model has been developed
to predict the settlement of shallow reinforced sandy soil foundations (RSSFs). The potential …

Geotechnical engineering deals with materials (eg soil and rock) that, by their very nature,
exhibit varied and uncertain behavior because of the imprecise physical processes …

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 …

Numerous studies have repeatedly demonstrated the efficiency of using skirts to increase
the bearing capacity and to reduce settlement of shallow foundations subjected to static …

This study focuses on empirical modeling of the strength characteristics of urban soils
contaminated with heavy metals using machine learning tools and their subsequent …

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

Connected and disconnected piled raft foundations have been evaluated under lateral cyclic
loading in this study. Connected Piled Raft (CPR) and nonconnected piled (NPR) …

Obtaining an accurate estimation of surface settlement during tunnel excavation is
challenging due to the many factors that influence settlement. This study developed a …