Evaluating the strength of industrial wastesbased concrete reinforced with steel fiber using advanced machine learning

Evaluating the strength of industrial wastesbased concrete reinforced with steel fiber using advanced machine learning

Abstract The traditional evaluation of compressive strength through repeated experimental works can be resource-intensive, time-consuming, and environmentally taxing. Leveraging advanced machine learning (ML) offers a faster, cheaper, and more sustainable alternative for evaluating and optimizing co...

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Main Authors: Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, Susana Monserrat Zurita Polo, Vilma Fernanda Noboa Silva, Rodney Orlando Santillán Murillo, Rolando Fabián Zabala Vizuete, Paul Awoyera, Siva Avudaiappan
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Industrial waste
Concrete
Steel fiber
Compressive strength
Advanced machine learning
Hoffman/Gardener’s sensitivity analysis
Online Access:https://doi.org/10.1038/s41598-025-92194-3
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https://doi.org/10.1038/s41598-025-92194-3

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