Machine learning (ML) based models for predicting the ultimate bending moment resistance of high strength steel welded I-section beam under bending

This paper presents an in-depth numerical investigation into the local buckling behaviour and develops advanced machine learning (ML) -based design methods for high strength steel (HSS) welded I-section beams for predicting the ultimate bending moment resistance under bending. Though HSS welded I-se...

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Veröffentlicht in:	Thin-walled structures Jg. 191; S. 111051
Hauptverfasser:	Liu, Jun-zhi, Li, Shuai, Guo, Jiachen, Xue, Shuai, Chen, Shuxian, Wang, Lin, Zhou, Yang, Luo, Tess Xianghuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2023
Schlagworte:	Artificial neural network Boosting algorithm High strength steel Machine learning Numerical modelling Random forest regressor Support vector regressor Welded I-section beam Welded I-section beam Support vector regressor Boosting algorithm Machine learning High strength steel Random forest regressor Artificial neural network Numerical modelling
ISSN:	0263-8231
Online-Zugang:	Volltext
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