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 optimization research concerning the design and proportioning
of concrete mixtures is presented herein. Mixture design optimization is motivated by an ever …

Natural resources protection has become an essential issue for engineers worldwide. Using
waste materials helps to reduce natural resources usage and may lead to keeping the …

The construction and maintenance of roads pavement was a critical problem in the last
years. Therefore, the use of roller-compacted concrete pavement (RCCP) in road problems …

Recent development in data processing systems had directed study and research of
engineering towards the creation of intelligent systems to evolve models for a wide range of …

The main purpose of this paper is to predict the properties (mechanical and rheological) of
the self-compacting concrete (SCC) containing fly ash as cement replacement by using two …

Recently, various waste materials and industrial by-products such as supplementary
cementitious materials (SCMs) have been proposed to improve the properties of self …

This paper presents an embedded sensing system for precisely measuring acceleration and
temperature of interest points on a ball screw structure and diagnosis of different ball-screw …

The paper deals with the use of Deep Neural Networks (DNN), Artificial Neural Network
(ANN), and Random Forest (RF) for estimating the 28-day compressive strength of self …

Temperature control and crack prevention of mass concrete are significant to the safety and
durability of structures such as dams and long-span bridges. Adiabatic temperature rise is …