Machine learning to estimate the bond strength of the corroded steel bar‐concrete
| Autor(en): |
Kai‐Lai Wang
(College of Water Resources and Architectural Engineering, Northwest A&F University Yangling China)
Jingyi Li (Chongqing Key Laboratory of Public Big Data Security Technology Chongqing China) Li Li 
(College of Water Resources and Architectural Engineering, Northwest A&F University Yangling China)
E. Deng (National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) Hong Kong Polytechnic University Hong Kong China) Yang Zhang
(National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) Hong Kong Polytechnic University Hong Kong China)
Zongli Li (College of Water Resources and Architectural Engineering, Northwest A&F University Yangling China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Concrete, Januar 2024, n. 1, v. 25 |
| Seite(n): | 696-715 |
| DOI: | 10.1002/suco.202300401 |
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10748308 - Veröffentlicht am:
14.01.2024 - Geändert am:
10.02.2024
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