Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

A comprehensive review of the statistical experimental optimization problem concerning the
mixture design of various cement-based materials is presented herein. This review …

By replacing cement in concrete production with rice husk ash (RHA), the amount of cement
used and its environmental impact can be reduced. The objective of this study is to …

This study explores the potential of utilizing waste marble powder (WMP) instead of cement
to develop environmentally friendly high-performance concrete (Eco-HPC). It assesses Eco …

This study used three artificial intelligence-based algorithms–adaptive neuro-fuzzy inference
system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) …

Recently, with the rapid development of artificial intelligence (AI) techniques, there is a
strong motivation to promote the intelligent development of the Ultra-High Performance …

Support vector machines (SVMs) have recently been used to model the properties of low
volume fly ash self-compacting concrete (LVF-SCC) by means of kernel functions to …

This study aims to analyze the sensitivity and robustness of two Artificial Intelligence (AI)
techniques, namely Gaussian Process Regression (GPR) with five different kernels …

The ultrafine fly ash (FA) is a hazardous material collected from coal productions, which has
been proficiently employed for the manufacturing of geopolymer concrete (GPC). In this …

This paper presents a method for designing steel fibre reinforced Ultra-High Performance
Concrete (UHPC) composites with dense micro/meso structure and efficient fibre …