Design of curved composite panels for maximum buckling load using sequential permutation search algorithm

Zhao Jing, Qin Sun, Ke Liang, Yongjie Zhang

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

New buckling optimal solutions for curved composite panels are presented in terms of principle of virtual work and sequential permutation search (SPS) algorithm. By utilizing the principle of virtual displacements, the buckling load is calculated and the accuracy of the derived buckling solutions is verified by comparison with experimental data and numerical results. SPS utilizes the inherent mechanical properties of composite laminates in which the bending stiffness of the outer layers is more sensitive than those close to the mid-surface. Curved composite panels exhibit a variety of length-to-arc ratios and radius-to-length ratios, under axial compression, pure shear, and combined loadings, are optimized. Some of the results are compared with the global optima obtained by enumeration method, and SPS shows good robustness in locating the global optima. In addition, the buckling load carrying capacity of optimized curved composite panels can be improved by as much as twice over cross-ply laminates. Low computational costs of SPS algorithm imply its potential for solving high-dimensional discrete variable optimization problems of composite structures.

Original languageEnglish
Pages (from-to)4169-4192
Number of pages24
JournalStructures
Volume34
DOIs
StatePublished - Dec 2021

Keywords

  • Buckling
  • Curved composite panels
  • Principle of virtual work
  • Sequential permutation search (SPS)

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