Application of machine learning models in the capacity prediction of RCFST columns

Rectangular concrete-filled steel tubular (RCFST) columns are widely used in structural engineering due to their excellent load-carrying capacity and ductility. However, existing design equations often yield different design results for the same column properties, leading to uncertainty for engineer...

Descripción completa

Detalles Bibliográficos
Autores principales: Megahed, Khaled, Mahmoud, Nabil Said, Abd-Rabou, Saad Elden Mostafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682462/
https://www.ncbi.nlm.nih.gov/pubmed/38012229
http://dx.doi.org/10.1038/s41598-023-48044-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682462/
https://www.ncbi.nlm.nih.gov/pubmed/38012229
http://dx.doi.org/10.1038/s41598-023-48044-1

Ejemplares similares