Intelligent optimization of finite element model parameters for large-span bridges based on MA-INFO algorithm

• Published in: Structures (Oxford) Vol. 70; p. 107617
• Main Authors: Ding, Jiaxuan, Gao, Liang, Shi, Shunwei, Zhang, Yanan, Yang, Mingmei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2024
• Subjects: Finite element model updating; High-speed railway; INFO algorithm; Metamodel; Neural network; Suspension bridge; INFO algorithm; High-speed railway; Neural network; Suspension bridge; Metamodel; Finite element model updating
• ISSN: 2352-0124; 2352-0124
• DOI: 10.1016/j.istruc.2024.107617

This study proposes a bridge Finite Element (FE) model updating method based on the Metamodel Assisted weIghted meaN oF vectOrs (MA-INFO) algorithm, which improves the simulation accuracy for large-span bridge FE models. The first step of this method is to perform sensitivity analysis, with the aim...