Predicting the ultimate strength of rectangular concrete-filled steel tube columns under eccentric loading using a knowledge-enhanced machine learning framework
J. Lou(Zhejiang University), Xudong Qian(National University of Singapore), Rongqiao Xu(Zhejiang Provincial Institute of Communications Planning,Design & Research), Qian Feng(Taiyuan University of Technology), Guannan Wang(Zhejiang University), Yixuan Li(University of Nottingham Ningbo China), Shicheng Zheng(Zhejiang University)
Cited by 3
Related Papers
An overview of polylactic acid (PLA) nanocomposites for sensors
|Advanced Composites and Hybrid Materials|2024|164
Efficiently removal of tetracycline via synergistic photocatalysis with Fenton reaction with biochar/FeOOH
|Applied Surface Science|2023|93
Constructing a continuous reduced graphene oxide network in porous plant fiber sponge for highly compressible and sensitive piezoresistive sensors
|Advanced Composites and Hybrid Materials|2023|68
Visible-NIR responsive Ag2O couple with MIL-53(Fe) on CS as S-scheme photocatalyst for efficient simultaneous removal of Cr(VI) and norfloxacin
|Chemical Engineering Journal|2024|54