Mechanical and durability performance prediction of geopolymer incorporating ferrosilicon slag and aluminum powder using machine learning techniques

Abstract The present study explores the mechanical, durability, and environmental performance of geopolymer concrete (GPC) synthesized using ferrosilicon slag (FS) and aluminum powder (AP) as sustainable binder constituents. Eight mixes were prepared by varying FS: AP ratios (100:0, 95:5, 90:10, 85:...

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Hlavní autoři:	K. Narshimha Raju, G. K. Arunvivek
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-01-01
Edice:	Scientific Reports
Témata:	Geopolymer concrete Ferrosilicon slag Aluminum powder Machine learning Strength prediction
On-line přístup:	https://doi.org/10.1038/s41598-025-32654-y
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