Three-stage optimization framework of functionally graded stiffened cylindrical shells under thermal environment

• Published in: Engineering structures 2023-10, Vol.292, p.116541, Article 116541
• Main Authors: Luo, Xuanhe, Zhou, Huanlin, Ren, Xinlian, Meng, Zeng
• Format: Article
• Language: English
• Subjects: Active learning method; Functionally graded materials; Hybrid surrogate model; Optimization; Smeared stiffener method; Stiffened cylindrical shell
• ISSN: 0141-0296; 1873-7323
• DOI: 10.1016/j.engstruct.2023.116541

•The smeared stiffener method of functionally graded stiffened cylindrical shells under the thermal and mechanical loads was derived.•The influence of temperature change and neutral plane offset was considered.•A new three-stage optimization design framework was constructed for lightweight design.•The post-buckling performance of functionally graded stiffened cylindrical shell at high temperature was studied. Functionally graded materials (FGMs) display remarkable potential for thermal and mechanical applications, which attracts increasing interest in the aerospace industry. In this study, the FGMs are used in the stiffened cylindrical shells (SCSs) to improve their heat resistance and bearing capacity. For the functional gradient stiffened cylindrical shell (FG-SCS), the smeared stiffener method (SSM) is improved, and the analytical solution of its critical buckling load is obtained. In addition, a new three-stage optimization framework is proposed based on the hybrid surrogate model and the active learning strategy, and the lightweight design of FG-SCSs is conducted. The illustrative examples are evaluated, which indicate that FG-SCSs can promote the bearing capacity under the thermal environment, and the corresponding designs are very competitive.