Predicting compressive strength of RCFST columns under different loading scenarios using machine learning optimization
Abstract 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 (RCF...
Main Authors: | Feng Wu, Fei Tang, Ruichen Lu, Ming Cheng |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-43463-6 |
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