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

• Published in: Thin-walled structures Vol. 191; p. 111051
• Main Authors: Liu, Jun-zhi, Li, Shuai, Guo, Jiachen, Xue, Shuai, Chen, Shuxian, Wang, Lin, Zhou, Yang, Luo, Tess Xianghuan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2023
• Subjects: 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

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...