Research on the mechanical behavior of cold-formed thin-walled steel- timber composite components based on software ABAQUS

Futing Pan; Qiyin Xiong; Ying Wang; Ruiming Liang

doi:10.1117/12.2686036

28 July 2023 Research on the mechanical behavior of cold-formed thin-walled steel- timber composite components based on software ABAQUS

Futing Pan, Qiyin Xiong, Ying Wang, Ruiming Liang

Author Affiliations +

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 1275620 (2023) https://doi.org/10.1117/12.2686036
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

The cold-formed thin-walled steel-timber composite component is a new type of composite component. The effective combination of timber and steel can utilize the mechanical properties of the two materials. In this paper, considering the effects of flange width thickness ratio, web height-thickness ratio, and axial compression ratio on the mechanical performance, the seismic performance of six cold-formed thin-walled steel columns and six cold-formed thin-walled steel-timber composite columns was analyzed using the software ABAQUS. The results show that the main factor affecting the seismic bearing capacity of components is axial compression ratio. When the axial compression ratio is large, the stiffness degradation of cold-formed thin-walled steel members is relatively obvious, especially in the late stage of loading, the performance of the composite members is better. It shows that timber boards play a key role in the buckling of steel sections, verifying the good working performance of the composite members.

Citation Download Citation

Futing Pan, Qiyin Xiong, Ying Wang, and Ruiming Liang "Research on the mechanical behavior of cold-formed thin-walled steel- timber composite components based on software ABAQUS", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 1275620 (28 July 2023); https://doi.org/10.1117/12.2686036

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