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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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Principais autores: Tatiana N. Kondratieva, Anton S. Chepurnenko, Batyr M. Yazyev
Format: Artigo
Jezik:Inglês
Izdano: Peoples’ Friendship University of Russia (RUDN University) 2025-01-01
Serija:Structural Mechanics of Engineering Constructions and Buildings
Teme:
Online dostop:https://journals.rudn.ru/structural-mechanics/article/viewFile/46170/25411
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