Evolutionary multi-objective optimization of hybrid laminates

Authors

  • Witold Beluch Silesian University of Technology
    Poland
  • Tadeusz Burczyński Cracow University of Technology
    Poland
  • Adam Długosz Silesian University of Technology
    Poland

Keywords:

multi-objective optimization, evolutionary algorithm, multi-layered laminate, modal analysis

Abstract

The aim of the paper is to prepare an efficient method of the optimization of the hybrid fibre-reinforced laminates. Since the several optimization criteria which cannot be satisfied simultaneously are proposed, the multi-objective optimization methods have been employed. Different optimization criteria connected with the laminates' cost, the modal properties and the stiffness are considered. The multi-objective evolutionary algorithm which uses the Pareto approach has been used as the optimization method. To solve the boundary-value problem the finite element method commercial software has been employed. Numerical examples presenting the effectiveness of the proposed method are attached.

References

[1] S. Adali, A. Richte, V.E. Verijenko, E.B. Summers. Optimal design of symmetric hybrid laminates with discrete ply angles for maximum buckling load and minimum cost. Composite Structures, 32: 409-415, 1995.
[2] S. Adali, V.E. Verijenko. Optimum stacking sequence design of symmetric hybrid laminates undergoing free vibrations. Composite Structures, 54: 131-138, 200l.
[3] J.F. Aguilar Madeiraa, H. Rodriguesa, H. Pinaa. Multi-objective optimization of structures topology by genetic algorithms. Advances in Engineering Software, 36: 21-28, 2005.
[4] J. Arabas. Lectures on Evolutionary Algorithms (in Polish). Wydawnictwa Naukowo-Techniczne, 2001.
[5] W. Beluch. Evolutionary identification and optimization of composite structures. In: III European Conference on Computational Mechanics, ECCM 2006, Lisbon, CD-ROM, 2006.

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Published

2022-08-17

Issue

pp. 569-578

Section

Articles

How to Cite

Beluch, W., Burczyński, T., & Długosz, A. (2022). Evolutionary multi-objective optimization of hybrid laminates. Computer Assisted Methods in Engineering and Science, 14(4), 569-578. https://cames3.ippt.pan.pl/index.php/cames/article/view/790

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