共 5 条
New predictive equations for tilting and bearing resistance of U-shaped shear connectors in composite cold-formed steel floor joists using neural networks and stepwise regression
被引:1
|作者:
Hosseinpour, Mahmoud
[1
]
Daei, Maryam
[1
]
Zeynalian, Mehran
[1
]
Ataei, Abdoreza
[1
]
机构:
[1] Univ Isfahan, Dept Civil Engn, Esfahan, Iran
关键词:
Composite cold-formed steel floor joists;
U-shaped shear connectors;
finite element analysis;
artificial neural networks;
Garson's algorithm;
stepwise regression;
BUCKLING CAPACITY ASSESSMENT;
PLASTIC-DAMAGE MODEL;
BEHAVIOR;
BEAMS;
D O I:
10.1080/15397734.2022.2120498
中图分类号:
O3 [力学];
学科分类号:
08 ;
0801 ;
摘要:
Due to the low thickness of cold-formed steel (CFS) sections, welding of traditional studs on them is not recommended; and there is a need to use shear connectors suitable for this type of sections. In this paper, the behavior of U-shaped shear connectors as connectors compatible with CFS composite beams has been investigated, to offer practical relationships for predicting the ultimate strength of this type of connectors. Accordingly, after the development of finite element (FE) models with the ability to predict the ultimate strength of U-shaped connectors, their performance against experimental results was validated. Then, an extensive parametric study, consisting of 216 numerical samples, was accomplished to provide a reliable database. As the main and most important of this study, two methods of artificial neural networks and stepwise regression were developed, and practical formulations were proposed to predict the ultimate strength of U-shaped shear connectors in CFS composite beams. Finally, in addition to evaluating the accuracy of the proposed formulas, a comparison was made between them and the relationships proposed by AISI, AS/NZS and EC3 codes for CFS screw connections. The relationships presented in this paper can be used by practical engineers in the design process of CFS composite beams.
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页码:628 / 649
页数:22
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