Estimating the Axial Compression Capacity of Concrete-Filled Double-Skin Tubular Columns with Metallic and Non-Metallic Composite Materials

This research focuses on estimating the ACC (axial compression capacity) of concrete-filled double-skin tubular (CFDST) columns. The study utilised algorithms and ‘six’ evaluation methods (XGBoost, AdaBoost, Lasso, Ridge, Random Forest Regressor and artificial neural network (ANN) architecture-based...

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Detalles Bibliográficos
Autores principales: Chandramouli, Pavithra, Jayaseelan, Revathy, Pandulu, Gajalakshmi, Sathish Kumar, Veerappan, Murali, Gunasekaran, Vatin, Nikolai Ivanovich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144446/
https://www.ncbi.nlm.nih.gov/pubmed/35629594
http://dx.doi.org/10.3390/ma15103567

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144446/
https://www.ncbi.nlm.nih.gov/pubmed/35629594
http://dx.doi.org/10.3390/ma15103567

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