Machine Learning-Based Prediction of Strength and Environmental-Economic Optimization of HSC Concrete Incorporating Pozzolanic Ash and Nano-Eggshells
Abstract By 2030, global egg production is expected to reach 90 million tons, generating substantial eggshell waste. This study looks into the use of nano-eggshell powders (NEP) as a portion substitute for cement in HSC (high-strength concrete) mixed with pozzolanic ashes (OA). Seven machine learnin...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SpringerOpen
2025-12-01
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| Schriftenreihe: | International Journal of Concrete Structures and Materials |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1186/s40069-025-00868-z |
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