Durability prediction of sustainable marine concrete under freeze-thaw cycles using multi-objective machine learning models
Marine and cold-region concrete structures are prone to surface scaling, interior microcracking, and long-term strength degradation due to freeze-thaw cycles (FTCs). Understanding and accurately predicting FTC-induced damage is essential for sustainable and resilient structural design. This study in...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525005856 |
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