Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete

Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete

Abstract This research presents a novel data-driven framework for predicting the mechanical properties of waste glass aggregate concrete using six advanced metaheuristic optimization algorithms: Bat Algorithm (Bat), Cuckoo Search Algorithm (Cuckoo), Elephant Herding Optimization (Elephant), Firefly...

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Bibliographic Details
Main Authors: Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Waste glass aggregate concrete
Mechanical properties
Metaheuristic machine learning
Sensitivity analysis
Sustainable construction
Online Access:https://doi.org/10.1038/s41598-025-05229-0
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https://doi.org/10.1038/s41598-025-05229-0

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