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Predicting axial compressive capacity of cold-formed steel built-up columns using transfer learning

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成果类型:
期刊论文
作者:
Hu, Jiaqiang;Jiang, Liqiang;He, Jianguang;Hu, Yi;Yang, Jianjun
通讯作者:
Jiang, LQ
作者机构:
[Jiang, Liqiang; Yang, Jianjun; He, Jianguang; Hu, Jiaqiang] Cent South Univ, Sch Civil Engn, Changsha 410004, Peoples R China.
[Jiang, Liqiang] Natl Engn Res Ctr High Speed Railway Construct, Changsha 410004, Peoples R China.
[Hu, Yi] Cent South Univ Forestry & Technol, Sch Civil Engn, Changsha 410075, Peoples R China.
通讯机构:
[Jiang, LQ ] C
Cent South Univ, Sch Civil Engn, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Cold-formed steel;Special shaped built-up columns;Transfer learning;Robustness;Monte Carlo simulation
期刊:
Journal of Building Engineering
ISSN:
2352-7102
年:
2025
卷:
111
页码:
113479
基金类别:
CRediT authorship contribution statement Jianguang He: Visualization, Validation, Resources, Investigation, Data curation. Yi Hu: Visualization, Validation, Resources, Investigation, Data curation. Jiaqiang Hu: Writing – original draft, Software, Resources, Methodology, Investigation, Formal analysis, Conceptualization. Liqiang Jiang: Writing – review & editing, Supervision, Resources, Methodology, acquisition, Conceptualization. Jianjun Yang: Validation, Supervision, Resources, Data curation
机构署名:
本校为其他机构
院系归属:
土木工程学院
摘要:
This paper develops a new prediction model based on knowledge transfer learning (KTL) and aims to estimate the ultimate axial compressive capacity of proposed cold-formed steel (CFS) special-shaped built-up columns (SSBC) via limited data. Two databases were developed, including one with 3839 data points for traditional CFS built-up columns and another with 298 data points for CFS-SSBC. They were used for training and validation via the proposed KTL model, and the robustness of the KTL model was evaluated via Monte Carlo simulations. Two scenar...

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