In most cases in which non-allowable settlement or losing of bearing capacity has been
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …

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 …

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 tunnel face stability in undrained anisotropic clay that has an increasing shear strength
with depth is investigated by using three-dimensional (3D) finite element limit analysis …

Numerical analysis and machine learning regression were carried out for understanding
and description of ozonation process combined with membrane separation. The main focus …

Accurately and reliably predicting the drift capacity (DC) of concrete columns is crucial for
the seismic design and damage evaluation of structures. Despite precast concrete columns …

Materials used in aircraft engines, gas turbines, nuclear reactors, re-entry vehicles, and
hypersonic structures are subject to severe environmental conditions that present significant …

The present investigation employs relevance vector machine (RVM) and long short-term
memory (LSTM) models to predict the time-dependent bearing capacity of concrete piles …

Transportation infrastructure layouts have significant impacts on urban air quality. This study
develops a street-scale estimation model involving transportation infrastructure layouts …

The design of cementitious mixtures incorporating mine tailings as fine aggregates is a multi-
objective optimization (MOO) problem, in which both the uniaxial compressive strength …