Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …

The screening of novel materials with good performance and the modelling of quantitative
structure-activity relationships (QSARs), among other issues, are hot topics in the field of …

Despite the extensive use of mortars materials in constructions over the last decades, there
is not yet a reliable and robust method, available in the literature, which can estimate its …

Chloride ingression is the main reason for causing durability degradation of reinforced
concrete (RC) structures. In this study, the distinguishing features of artificial neural network …

The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …

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 …

It is well-understood that the incorporation of recycled concrete aggregates (RCAs) in a
concrete mix can lead to some impacts on the mechanical properties of the concrete due to …

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

Abstract Machine learning (ML) techniques are increasingly used to simulate the behavior of
concrete materials and have become an important research area. The compressive strength …

Using recycled aggregates generated from demolition waste for concrete production is a
promissory option to reduce the environmental footprint of the built environment. However …