Different artificial intelligence (AI) methods have been applied to various aspects of rock
mechanics, but the fact that none of these methods have been used as a standard implies …

Shear strength of the soil is an important engineering parameter used in the design and
audit of geo-technical structures. In this research, we aim to investigate and compare the …

This study presents the development of new empirical prediction models to evaluate swell
pressure and unconfined compression strength of expansive soils (P s UCS-ES) using three …

Understanding the deterioration of roads is an important part of road asset management. In
this study, the long-term pavement performance (LTPP) data and machine learning …

This study explores the performance regime of different classification algorithms as they are
applied to the analysis of asphalt pavement deterioration data. The aim is to examine how …

Steel-fiber-reinforced concrete (SFRC) has emerged as a viable and efficient substitute for
traditional concrete in the construction industry. By incorporating steel fibers into the …

Ordinary Portland cement (OPC) is proving to be hazardous to the environment. To replace
the OPC, geopolymers (GPs) are introduced. However, to fully replace the OPC by GPs …

In order to ensure safe and sustainable design of geosynthetic-reinforced soil foundation
(GRSF), settlement prediction is a challenging task for practising civil/geotechnical …

Supplementary cementitious materials (SCMs) are widely utilized in concrete mixtures,
either substituting a part of the cement content or replacing a portion of clinker in cement …

The prediction of liquefaction-induced lateral spreading/displacement (D h) is a challenging
task for civil/geotechnical engineers. In this study, a new approach is proposed to predict D h …