Stress Analysis of 2D-FG Rectangular Plates with Multi-Gene Genetic Programming

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DEMİRBAŞ M. D., Çakır D., ÖZTÜRK C., ARSLAN S.

Applied Sciences (Switzerland), cilt.12, sa.16, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12 Sayı: 16
  • Basım Tarihi: 2022
  • Doi Numarası: 10.3390/app12168198
  • Dergi Adı: Applied Sciences (Switzerland)
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Agricultural & Environmental Science Database, Applied Science & Technology Source, Communication Abstracts, INSPEC, Metadex, Directory of Open Access Journals, Civil Engineering Abstracts
  • Anahtar Kelimeler: multi-gene genetic programming, genetic programming, thermal stress problem, compositional gradient exponent, functionally graded material, FUNCTIONALLY GRADED MATERIALS, MULTIPLE-FEATURE CONSTRUCTION, TOPOLOGY OPTIMIZATION, SANDWICH PLATES, SHAPE
  • Kayseri Üniversitesi Adresli: Hayır

Özet

© 2022 by the authors.Functionally Graded Materials (FGMs) are designed for use in high-temperature applications. Since the mass production of FGM has not yet been made, the determination of its thermo-mechanical limits depends on the compositional gradient exponent value. In this study, an efficient working model is created for the thermal stress problem of the 2D-FG plate using Multi-gene Genetic Programming (MGGP). In our MGGP model in this study, data sets obtained from the numerical analysis results of the thermal stress problem are used, and formulas that give equivalent stress levels as output data, with the input data being the compositional gradient exponent, are obtained. For the current problem, efficient models that reduce CPU processing time are obtained by using the MGGP method.