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 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham
Springer International Publishing
01.07.2024
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| Schlagworte: | |
| ISSN: | 2520-8160, 2520-8179 |
| Online-Zugang: | Volltext |
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