Predicting the Strength of Eccentrically Compressed Short Circular Concrete Filled Steel Tube Columns
The process of predicting the load-bearing capacity of eccentrically compressed circular concrete filled steel tube (CFST) columns using machine learning algorithms is investigated. The relevance of the work is established by the need to improve the accuracy of engineering calculations in the contex...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Peoples’ Friendship University of Russia (RUDN University)
2025-01-01
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| Seria: | Structural Mechanics of Engineering Constructions and Buildings |
| Hasła przedmiotowe: | |
| Dostęp online: | https://journals.rudn.ru/structural-mechanics/article/viewFile/46170/25411 |
| Etykiety: |
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