This study investigates the applicability of two artificial intelligence (AI) techniques, namely,
the support vector regression (SVR) and artificial neural network (ANN), in prediction of the …

During the rock tunnel construction, one of the critical aspects lies on the support design to
secure the construction safety. Due to the extreme complex underground geological and …

Sustainable agricultural practices help to manage and use natural resources efficiently. Due
to global climate and geospatial land design, soil texture, soil–water content (SWC), and …

The strength reduction method is often used to predict the stability of soil slopes with
complex soil properties and failure mechanisms. However, it requires a considerable …

The study of soil–structure interface behavior contributes to the fundamental understanding
of engineering performance and foundation design optimization. Previous research studies …

The development of urban underground space is a critical way to alleviate the lack of urban
resources, and improve environmental conditions as well as residents' quality of life, which …

Geotechnical site characterization is a crucial factor in the effective planning, design, and
implementation of civil engineering projects. In the evolving landscape of infrastructure …

There has been growing research interests in the study of sustainable geomaterials to
reduce or replace the use of cement to promote greener construction. A machine learning …

The objective of this study was to investigate the liquefaction resistance of chemically
improved sandy soils in a straightforward and accurate manner. Using only the existing …

This research adopts emerging machine learning techniques to tackle the soil–structure
interaction analysis problems of laterally loaded piles through physics-informed neural …