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 main objective of this work is to study the influence of waste tire rubber fibers on
unconfined compressive strength, swelling behavior, swell-consolidation, loading-unloading …

The tunnel boring machine (TBM), developed within the past few decades, is designed to
make the process of tunnel excavation safer and more economical. The use of TBMs in civil …

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 …

The cyclic stress or liquefaction behavior of granular materials is strongly affected by the
relative density and confining pressure of the soil. In this study, the state parameter …

For deep excavations in residual soils that are underlain by highly fissured or fractured
rocks, it is common to observe the drawdown of the groundwater table behind the …

The study proposes an improved Harris hawks optimization (IHHO) algorithm by integrating
the standard Harris hawks optimization (HHO) algorithm and mutation-based search …

Increase in seismic events around the world has necessitated the evaluation of soil
liquefaction potential since it adversely influences the stability of adjacent structures and …

The mechanical parameters of surrounding rock are an essential basis for roadway
excavation and support design. Aiming at the difficulty in obtaining the mechanical …

Self-compacting concrete (SCC) is a type of concrete known for its environmental benefits
and improved workability. In this study, data-driven approaches were used to anticipate the …