Optimizing the utilization of Metakaolin in pre-cured geopolymer concrete using ensemble and symbolic regressions

Optimizing the utilization of Metakaolin in pre-cured geopolymer concrete using ensemble and symbolic regressions

Abstract The optimization of metakaolin (MK) in pre-cured geopolymer concrete involves developing predictive models to capture the interplay of various influencing factors and guide mix design for improved compressive strength and sustainability. Ensemble methods and symbolic regression are promisin...

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Podrobná bibliografie
Hlavní autoři: Kennedy C. Onyelowe, Viroon Kamchoom, Ahmed M. Ebid, Shadi Hanandeh, José Luis Llamuca Llamuca, Fabián Patricio Londo Yachambay, José Luis Allauca Palta, M. Vishnupriyan, Siva Avudaiappan
Médium: Článek
Jazyk:English
Vydáno: Nature Portfolio 2025-02-01
Edice:Scientific Reports
Témata:
Geopolymer concrete
Metakaolin
Machine learning
Sensitivity analysis
Sustainable concrete
Compressive strength
On-line přístup:https://doi.org/10.1038/s41598-025-91049-1

Internet

https://doi.org/10.1038/s41598-025-91049-1

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