Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …

Water is the most necessary and significant element for all life on earth. Unfortunately, the
quality of the water resources is constantly declining as a result of population development …

In order to determine the appropriate model for predicting the maximum surface settlement
caused by EPB shield tunneling, three artificial neural network (ANN) methods, back …

The present research introduces an optimum performance soft computing model by
comparing deep (multi-layer perceptron neural network, support vector machine, least …

Long-term settlement issues in engineering practice are controlled by the creep index, C α,
but current empirical models of C α are not sufficiently reliable. In a departure from previous …

The resilient modulus (MR) of ballast is one of the key output parameters in any rail design
project because it controls the elastic magnitude of track deformation under cyclic loading …

Prediction of base resistance for long piles is usually challenging because of the complex
mobilization of load over the depth. This study hence proposes a novel machine learning …

The study presents an innovative hybrid machine learning model tailored for predicting the
load-displacement characteristics of bored piles, specifically those integral to high-rise …

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 …

In the process of designing pile foundations, it is essential to take the axial bearing capacity
(B c) of the pile into consideration., where determination of this target requires extreme fields …