Predicting compressive strength of RCFST columns under different loading scenarios using machine learning optimization

Accurate bearing capacity assessment under load conditions is essential for the design of concrete-filled steel tube (CFST) columns. This paper presents an optimization-based machine learning method to estimate the ultimate compressive strength of rectangular concrete-filled steel tube (RCFST) colum...

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Detalles Bibliográficos
Autores principales: Wu, Feng, Tang, Fei, Lu, Ruichen, Cheng, Ming
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/PMC10547767/
https://www.ncbi.nlm.nih.gov/pubmed/37789042
http://dx.doi.org/10.1038/s41598-023-43463-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547767/
https://www.ncbi.nlm.nih.gov/pubmed/37789042
http://dx.doi.org/10.1038/s41598-023-43463-6

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