Reducing clinker dependency through harmonized mix design of multi-supplemented concrete

This study investigates the combined influence of binder substitution and alkaline activator dosage on the mechanical performance of alkali-activated materials incorporating ground granulated blast-furnace slag using an integrated experimental and machine-learning-based framework. A comprehensive da...

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Autors principals:	Alawi Al-Naghi Ahmed A., Naeem Asad, Latifee Enamur R., Amin Muhammad Nasir, Alnawmasi Nawaf, Algassem Omar, Amin Muhammad Tahir, Boukendakdji Mustapha
Format:	Artigo
Idioma:	Inglês
Publicat:	De Gruyter 2026-06-01
Col·lecció:	Reviews on Advanced Materials Science
Matèries:	low-clinker binders for concrete compressive strength models machine learning prediction
Accés en línia:	https://doi.org/10.1515/rams-2025-0230
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