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Acta Mechanica Sinica

, Volume 35, Issue 1, pp 201–211 | Cite as

Variable-stiffness composite cylinder design under combined loadings by using the improved Kriging model

  • Jifan Zhong
  • Yaochen ZhengEmail author
  • Jianqiao ChenEmail author
  • Zhao Jing
Research Paper
  • 70 Downloads

Abstract

The large design freedom of variable-stiffness (VS) composite material presupposes its potential for wide engineering application. Previous research indicates that the design of VS cylindrical structures helps to increase the buckling load as compared to quasi-isotropic (QI) cylindrical structures. This paper focuses on the anti-buckling performance of VS cylindrical structures under combined loads and the efficient optimization design method. Two kinds of conditions, bending moment and internal pressure, and bending moment and torque are considered. Influences of the geometrical defects, ovality, on the cylinder’s performances are also investigated. To increase the computational efficiency, an adaptive Kriging meta-model is proposed to approximate the structural response of the cylinders. In this improved Kriging model, a mixed updating rule is used in constructing the meta-model. A genetic algorithm (GA) is implemented in the optimization design. The optimal results show that the buckling load of VS cylinders in all cases is greatly increased as compared with a QI cylinder.

Keywords

Variable-stiffness composite Optimal anti-buckling design Combined loading Ovality Kriging meta-model 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant 11572134) and the China Postdoctoral Science Foundation (Grant 2017M612443).

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Copyright information

© The Chinese Society of Theoretical and Applied Mechanics; Institute of Mechanics, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of MechanicsHuazhong University of Science and TechnologyWuhanChina
  2. 2.Hubei Key Laboratory for Engineering Structural Analysis and Safety AssessmentWuhanChina

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