A prediction method for oblique load stability of multi-cell tubes based on SVM

• Published in: Engineering structures 2023-05, Vol.283, p.115885, Article 115885
• Main Authors: Zhang, Junyuan, Xie, Jian, Zhang, Tianqi, Lu, Bingquan, Zheng, Danfeng, Zhou, Hao
• Format: Article
• Language: English
• Subjects: Critical load angle; Instability hyperplane; Multi-cell tube; Oblique load; SVM
• ISSN: 0141-0296; 1873-7323
• DOI: 10.1016/j.engstruct.2023.115885

[Display omitted] •A quantitative criterion for determining the deformation mode of tubes under oblique loads is proposed.•A method for fast judging the deformation mode of multi-cell tubes under oblique loads is proposed based on the SVM, with the accuracy above 91%.•The cross-section length and structure height are showed as the main sensitive parameters affecting the oblique load stability of multi-cell tubes.•An optimal method to increase the critical load angle of tube is proposed according to the instability hyperplanes. This paper aims at oblique load stability of multi-cell tubes and proposes a fast prediction method for fast judging the deformation mode of multi-cell tubes under oblique loads based on support vector machines (SVM). Firstly, the finite element model of multi-cell tubes under oblique load is established and verified by the compression experiments. According to the mechanical response and deformation characteristics of multi-cell tubes under oblique loads, a quantitative criterion for determining the deformation of tubes is proposed. Through the combination of finite element data and SVM, the prediction models of four types multi-cell tubes with oblique crushing is established, with the accuracy above 91%. A fast prediction method of critical load angle of tubes is proposed. The analysis of the critical load angle instability hyperplane shows that the cross-section length and structure height are the main sensitive parameters, and the response of the critical load angle is nonlinear. The prediction model proposed in this paper can quickly predict the stability of the multi-cell tubes and provide directions for the optimization of the stability of the multi-cell tubes.