An AI-driven approach for modeling the compressive strength of sustainable concrete incorporating waste marble as an industrial by-product.

ABSTRACT: A key goal of environmental policies and circular economy strategies in the construction sector is to convert demolition and industrial wastes into reusable materials. As an industrial by-product, Waste marble (WM), has the potential to replace cement and fine aggregate in concrete which helps with saving natural resources and reducing environmental harm. While many studies have so far investigated the effect of WM on compressive strength (CS), it is undeniable that conducting experimental activities requires time, money, and re-testing with changing materials and conditions. Hence, this study seeks to move from traditional experimental approaches towards artificial intelligence-driven approaches by developing three models-artificial neural network (ANN) and hybrid ANN with ant colony opti

SUBMITTER: Kazemi R 

PROVIDER: S-EPMC11538520 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature