Structural Optimization of Composite Panels Using Genetic Algorithm

Tevfik Can Bassullu, Halit Suleyman Turkmen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Now a days, the usage of composite materials is increasing widely in various sectors. Due to high strength to low density ratio, it will be strongly preferred. The aim of this study is to achieve the lightest composite panel structures using genetic algorithm optimization methods. This algorithm program aims to help fast tool design of the laminated composite panels using analytical formulas. Composite theories, structural optimization, genetic algorithm and panels theories are taken into account for the design. Structure was analyzed and optimized according to in-plane loading conditions for flat plates. The optimization algorithm was considered for simply supported, fixed and one-edge free boundary conditions. Plates strength were evaluated according to strain and Tsai-Wu failure theories. Contiguous plies constraint is added to extent scope of work. The final stacking of panel was analyzed in commercial FEM program to compare with analytical results.

Original languageEnglish
Title of host publicationProceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350323023
DOIs
Publication statusPublished - 2023
Event10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 - Istanbul, Turkey
Duration: 7 Jun 20239 Jun 2023

Publication series

NameProceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

Conference

Conference10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Country/TerritoryTurkey
CityIstanbul
Period7/06/239/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • composite panels
  • genetic algorithm
  • structural optimization

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