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

Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …

Abstract Machine learning is one of the key pillars of industry 4.0 that has enabled rapid
technological advancement through establishing complex connections among …

The use of recycled concrete aggregate (RCA) as a replacement for natural aggregate in
concrete mixtures provides a wide variety of benefits such as reduced cost and pollution …

This article presents the feasibility of using support vector regression (SVR) technique to
determine the fresh and hardened properties of self-compacting concrete. Two different …

With its growing emphasis on sustainability, the construction industry is increasingly
interested in environmentally friendly concrete produced by using alternative and/or …

In this paper, in order to predict the flexural strength and compressive strength of cement
mortar containing nano-silica (NS) and micro-silica (MS), the possibility of using the support …

The use of recycled concrete aggregate to produce new concrete can assist the
sustainability in construction industry. However, the mechanical properties of this type of …

The main objective of the study presented in this paper was to investigate the feasibility
using support vector machines (SVM) for the prediction of the fresh properties of self …

It is observed from the published literature that there were so limited studies concentrating
on predicting both fresh or hardened properties of self-compacting concrete (SCC). Hence, it …