The mixture proportioning of conventional concrete is commonly established using
regression analysis of experimental data. However, such traditional empirical procedures …

Abstract In Civil Engineering field, the compressive strength of concrete is a key parameter
to design concrete structures and evaluate existing structures. Conventionally the …

Solid waste in the form of construction debris is one of the major environmental concerns in
the world. Over 20 million tons of construction waste materials are generated in Tehran each …

Concrete is a composite material that is highly used in construction fields. Steel slag (SS) is
a molten liquid melt of silicates and oxides, is a by-product of the steel-making process, and …

This study showcases the predictive and optimization capabilities of response surface
methodology with respect to the fresh and hardened properties of waste tyre steel fibre …

Advances on the construction front continue to rise as the next industrial revolution
(Construction 4.0) nears. One promising front revolves around additively fabricated or simply …

The use of machine learning (ML) techniques to model quantitative composition–property
relationships in concrete has received substantial attention in the past few years. This paper …

Research into environmentally favorable alternatives to conventional concrete, such as
reengineering techniques and the recycling of industrial and agricultural waste, has …

A comparative analysis for the prediction of compressive strength of concrete at the ages of
28, 56, and 91 days has been carried out using machine learning techniques via “R” …

An artificial neural network (ANN) model for predicting the compressive strength of concrete
is established in this study. The Back Propagation (BP) network with one hidden layer is …