Machine learning-based axial compressive capacity estimation of cold-formed steel build-up sections

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成果类型：

期刊论文

作者：

Hu, Jiaqiang;Jiang, Liqiang;Hu, Yi;He, Jianguang;Cheng, Xinyuan;...

通讯作者：

Jiang, LQ

作者机构：

[Jiang, Liqiang; Cheng, Xinyuan; Yang, Jianjun; He, Jianguang; Hu, Jiaqiang] Cent South Univ, Sch Civil Engn, Changsha 410004, Peoples R China.

[Jiang, Liqiang; He, Jianguang] 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.

Natl Engn Res Ctr High Speed Railway Construct, Changsha 410004, Peoples R China.

语种：

英文

关键词：

Machine learning;Cold-formed steel;Built-up columns;Loading capacity;Robustness

期刊：

Thin-Walled Structures

ISSN：

0263-8231

年：

2025

卷：

206

页码：

112669

DOI：

10.1016/j.tws.2024.112669

基金类别：

CRediT authorship contribution statement Jiaqiang Hu: Writing – original draft, Software, Resources, Methodology, Investigation, Formal analysis, Conceptualization. Liqiang Jiang: Writing – review & editing, Supervision, Resources, Methodology, acquisition, Conceptualization. Yi Hu: Writing – review & editing, Supervision, Resources, Data curation. Jianguang He: Visualization, Validation, Resources, Investigation, Data curation. Xinyuan Cheng: Visualization, Validation, Resources, Investigation, Data curation. Jianjun Yang:

机构署名：

本校为其他机构

院系归属：

土木工程学院

摘要：

To consider the highly nonlinear and complex buckling behaviour of various sections of cold-formed steel (CFS) built-up columns, experimental and finite element (FE) methods are commonly used for calculating their axial compressive capacity, although these methods are time-consuming and costly. This paper proposes machine learning (ML) methods to overcome the issues of traditional methods for predicting the maximum axial load capacity (MALC) of CFS built-up columns. A total of 3839 samples from more than 33 different types of sections were collected from 43 published papers, including 817 expe...

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