Microstructural and mechanical characteristics evaluation of alkali-activated slag concrete and optimize with supervised hybrid machine learning modeling

Abstract This investigation employed both classical and hybrid machine learning (ML) strategies to examine the impact of alkali-activated materials on the compressive strength (CS) of Fly ash-based alkali-activated concrete (FAAC). For this reason, four supervised ML models were used in this study t...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Md. Kawsarul Islam Kabbo, Md. Habibur Rahman Sobuz, Prince Paul, Abdullah Alzlfawi, Mohammad Alameri, Mahmudur Hossain Khan, Noor Md. Sadiqul Hasan, Sani Aliyu Abubakar
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2026-05-01
Serija:	Scientific Reports
Teme:	Alkali-activated materials Parametric analysis Compressive strength Hybrid machine learning Microstructural analysis
Online dostop:	https://doi.org/10.1038/s41598-026-51084-y
Oznake:	Označite Brez oznak, prvi označite!