Evaluating the impact of waste marble on the compressive strength of traditional concrete using machine learning.

ABSTRACT: Waste marble, an industrial byproduct generated from marble cutting and polishing processes, can be effectively utilized as a partial replacement in concrete mixtures. Incorporating waste marble in concrete not only addresses environmental concerns related to marble waste disposal but also contributes to the sustainability of construction materials. Using machine learning (ML) to predict the impact of waste marble on the compressive strength of traditional concrete offers several advantages over repeated laboratory experiments. ML offers a powerful alternative to costly and time-consuming laboratory experiments, enabling faster and more sustainable exploration of the potential of waste marble in improving concrete's compressive strength. This research has focused on evaluating the impact o

SUBMITTER: Onyelowe KC 

PROVIDER: S-EPMC12008414 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature