Machine learning prediction of carbonation depth in recycled aggregate concrete incorporating SCMs

While recycled aggregates and supplementary cementitious materials have often been hailed for enhancing concrete sustainability, their effects on the resistance of concrete to carbonation has been controversial. Thus, deploying robust machine learning tools to overcome the lack of understanding of the implications of incorporating such sustainable materials is of paramount importance. Accordingly, this study proposes a gradient boosting...