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A Journal of Russian Academy of Sciences
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IssuesArchive of Issues2025-6pp.4786-4800

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Jing Zeng, Ning Xu, Jieping He, Wenhui Liu, Laifu Zhang, and Yong Cai, "Recent Developments in the Mechanical Properties of Perforated Cold-Formed Thin-Walled Steel Members," Mech. Solids. 60 (6), 4786-4800 (2025)
Year 2025 Volume 60 Number 6 Pages 4786-4800
DOI 10.1134/S0025654425603684
Title Recent Developments in the Mechanical Properties of Perforated Cold-Formed Thin-Walled Steel Members
Author(s) Jing Zeng (Institute of Road and Bridge Engineering, Hunan Communication Engineering Polytechnic, Changsha, 410119 China)
Ning Xu (China Construction Fifth Engineering Bureau Co., LTD, Changsha, 410007 China, 2926457836@qq.com)
Jieping He (Yunfu City Architectural Design Institute Co., LTD, Yunfu, 527300 China)
Wenhui Liu (School of Civil Engineering, Central South University, Changsha, 410075 China)
Laifu Zhang (School of Civil Engineering, Central South University, Changsha, 410075 China)
Yong Cai (School of Civil Engineering, Central South University, Changsha, 410075 China)
Abstract This paper systematically reviews the current research status and development trends of perforated cold-formed thin-walled steel (CFTS) members, including both compression and flexural members. Since the late 19th century, researchers have used experimental testing, theoretical analysis, and finite element simulation to explore the effects of perforations on the load-carrying capacity, buckling stress, and mode of buckling of members, providing theoretical support and practical guidance for engineering design. It has been found that most existing studies have focused on columns and web perforations, while research on beams and flange perforations is relatively limited, indicating potential directions for future research. Although theoretical analysis has its value, experimental testing and finite element analysis have gradually become dominant due to their efficiency in handling complex conditions. Future research should focus on new buckling modes and performance changes caused by perforations in composite sections, as well as the mechanical behavior of complex section forms after perforation. The direct strength method (DSM) is not sufficiently accurate in predicting the load-carrying capacity of perforated members and exhibits significant variability. The application of machine learning algorithms is expected to offer new perspectives and methods for mechanical performance analysis. The research findings of this paper can lay a solid foundation and provide direction for future research on perforated CFTS members.
Keywords Cold-formed thin-walled steel, Perforations, Mechanical properties, Buckling modes, Machine learning
Received 08 July 2025Revised 04 August 2025Accepted 09 August 2025
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