Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms
There has been increasing growth in incorporating fly ash as a supplementary cementitious material in concrete mixtures due to its potential to enhance the durability and strength properties of concrete. However, there is a lack of research on predicting the depth of wear of fly ash-based concrete....
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| Veröffentlicht in: | Case Studies in Construction Materials Jg. 20; S. e02744 |
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| Hauptverfasser: | , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
01.07.2024
Elsevier |
| Schlagworte: | |
| ISSN: | 2214-5095, 2214-5095 |
| Online-Zugang: | Volltext |
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