Abstract: There are some factors that interact to influence the compressive strength of concrete. Traditional prediction methods rely on extensive experimental testing to optimize mix proportions.

This project predicts the compressive strength of concrete using its material composition and curing age. A regression-based machine learning approach is applied to understand how different ...

The prediction of concrete compressive strength (CS, MPa) is fundamental in experimental civil engineering, as it enables the optimization of mix design and complements laboratory testing through ...

A recent study has shown that machine learning models can accurately predict the compressive strength of carbonated recycled concrete, a discovery that could genuinely help us build better, faster, ...