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Taguchi-enhanced Grey Wolf Optimizer for robust design of cellular beams

  • Aybike Ozyuksel Ciftcioglu*
  • , Betul Ustuner
  • , Erkan Dogan
  • , Sachi Arafat
  • , Amir Hussain
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This research presents a comprehensive comparative analysis of optimization techniques for achieving the optimal design of cellular beams. The incorporation of gaps within cellular beams reduces the weight of the beam and increases section height, resulting in the production of lighter and stronger sections. The Taguchi method is employed to fine-tune the parameters of the Grey Wolf Optimizer, enabling the achievement of a robust design. The performance of each algorithm is evaluated through three design examples, facilitating comprehensive comparisons among the seven algorithms. Moreover, the study encompasses the modeling and analysis of optimally designed cellular beams using finite element software.

Original languageEnglish
Pages (from-to)5739-5768
Number of pages30
JournalMechanics Based Design of Structures and Machines
Volume52
Issue number8
DOIs
StatePublished - 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Taylor & Francis Group, LLC.

Keywords

  • Cellular beams
  • finite element analysis
  • metaheuristic algorithms
  • optimization

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • General Mathematics
  • Automotive Engineering
  • Aerospace Engineering
  • Condensed Matter Physics
  • Ocean Engineering
  • Mechanics of Materials
  • Mechanical Engineering

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