Rapid prediction of the ultimate moment of flush endplate connections at elevated temperatures through an artificial neural network

作者：

Highlights：

• Effect of temperature is considered in the finite element model of the connections.

• A COinFIRE plug-in is implemented in ABAQUS to facilitate the parametric study.

• ANN model can accurately predict the ultimate moment of flush endplate connection.

• Formulas are derived to predict the ultimate moment of flush endplate connection.

• A GUI tool is developed to apply the ANN model for practical use.

摘要

•Effect of temperature is considered in the finite element model of the connections.•A COinFIRE plug-in is implemented in ABAQUS to facilitate the parametric study.•ANN model can accurately predict the ultimate moment of flush endplate connection.•Formulas are derived to predict the ultimate moment of flush endplate connection.•A GUI tool is developed to apply the ANN model for practical use.

论文关键词：Artificial neural network,Elevated temperature,Graphical user interface,Flush endplate connection,Ultimate moment

论文评审过程：Received 18 May 2021, Revised 21 March 2022, Accepted 2 June 2022, Available online 7 June 2022, Version of Record 24 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117759