Metaheuristic optimization of machine learning models for strength prediction of high-performance self-compacting alkali-activated slag concrete

The present study focuses on producing high-performance eco-efficient alternatives to conventional cement-based composites. The study is divided into two parts. The first part comprises of production of high-strength self-compacting alkali-activated slag concrete (SC-AASC) with GGBFS as a primary bi...

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Veröffentlicht in:Multiscale and Multidisciplinary Modeling, Experiments and Design Jg. 7; H. 3; S. 2901 - 2928
Hauptverfasser: Parhi, Suraj Kumar, Panda, Soumyaranjan, Dwibedy, Saswat, Panigrahi, Saubhagya Kumar
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Cham Springer International Publishing 01.07.2024
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ISSN:2520-8160, 2520-8179
Online-Zugang:Volltext
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