Numerical simulation and data-driven analysis on the flexural performance of steel reinforced concrete composite members

Engineering Structures（2021）

引用 27|浏览4

暂无评分

摘要

•A dataset containing 27 SRC beam test is established from literature.•A numerical model based on fiber section analysis is built to predict SRC beam flexural behavior.•Parametric study is conducted to evaluate influences of different design parameters.•Various design codes are evaluated in estimating flexural characteristics.•Artificial neural network method is proposed to predict flexural characteristics.

查看译文

关键词

Steel Reinforced Concrete (SRC) members,Flexural capacity,Flexural stiffness,Fiber section analysis,Machine Learning (ML),Artificial Neutral Network (ANN)

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要