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Get Free AccessThis paper establishes a high-fidelity numerical model to systematically investigate the local buckling behaviors of cold-formed circular hollow section (CHS) high-strength steel stub columns. Material nonlinearity and geometric nonlinearity are carefully accounted for in the FE model. Based on the Menegotto-Point model, the material constitutive of cold-formed CHS is calibrated considering the characteristics of the curvature of the stress-strain curve. The mesh is uniformly patterned according to the cross-section of the CHSs steel under compression. Subsequently, parametric studies are carried out to study the local buckling mode, buckling strength and ductility of the cold-formed high-strength CHS. The cross-sectional slenderness limit and local buckling strength of CHSs with material strength more than 500 MPa are proposed.
Dawei Zhang, H Deng, X Hu, Zhi Li, Kaiyu Cui, Chao Wang, Sen Chen, Zheng Tan, Wei Zhang, Xiaobin Song, Bao Meng, Chao Li, S Duan, B Jiang, Jiang Li, Shuxun Sang, Yi Li, Yongbo Wu, Wei Zhong, Jun Hao, Jiang‐Qiao Ding, Zhifu Zhang, A Machowski, Mariusz Maślak, M Pazdanowski, Angle Steel, Xue Li, Fangwei Zhang, Jianqiao Ye, Dongfei Sun, Wenjuan Yao, Xiaoqing Xu, Xin Zhao, Yan Sun, Y Liu, Wei Zhang, Hong Kong Kwong, Wah Hospital, Xue Zou, Yong Zhang, Y Liu, Lei Shi, D Kan, Wu Ouyang, L Chen, S Liu, Da Chen, Yinping Ma, Chengqiang Cui, Qiang Zhang, W Lao, Chunlin Huang, H Ban, Lu Hai, Yujia Shi, Qi Si, Yao Ding, Zong Li, Huiying Liu, Zhutao Shao, Yi Li, Siwei Song, Weiliang Jin, Y Liu, Hongnian Dong, X Liu High, Wang We, A Sharhan, Ershun Du, X Hu, Zonghui Zhou, J Lu, Yue Tang, A. Abdelrahman, M Ghannam, S Lotfy, Mohammad AlHamaydeh, Xiang Xiong, F Nkuichou, T Wang, M Ma, K Du Corrosion, Na Wang, Jianmin Hua, Xiaolong Xue, Qiao Huang, Fei Wang, Hongwei Huang, Luquan Ren, Kai Chen, Xue Li, L Wang, Bin Yang, Mingming Zhang, Wenjun Liu, Z Lei, Dawei Wang, Ji Wang, Lang Zhou, Xinyu Shu (2022). LOCAL BUCKLING BEHAVIORS OF COLD-FORMED CIRCULAR HOLLOW SECTIONS HIGH STRENGTH STEEL STUB COLUMNS BASED ON A HIGH-FIDELITY NUMERICAL MODEL (ICASS’2022). , DOI: https://doi.org/10.18057/icass2020.p.337.
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Type
Report
Year
2022
Authors
100
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.18057/icass2020.p.337
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