Single- and Multiobjective Optimizations of Dimensionally Stable Composites Using Genetic Algorithms


Aydin L., Artem H. S., Deveci H. A.

Mechanics of Composite Materials, vol.57, no.3, pp.321-336, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 57 Issue: 3
  • Publication Date: 2021
  • Doi Number: 10.1007/s11029-021-09957-y
  • Journal Name: Mechanics of Composite Materials
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.321-336
  • Keywords: dimensional stability, laminated composites, satellite structures, stochastic optimization
  • Erzincan Binali Yildirim University Affiliated: Yes

Abstract

© 2021, Springer Science+Business Media, LLC, part of Springer Nature.The present study aims to design stacking sequences of dimensionally stable symmetric balanced laminated carbon/epoxy composites, with different numbers of layers, with a low coefficient of thermal expansion and high elastic moduli. To avoid excessive interlaminar stresses in the composites, the contiguity constraint for plies is also taken into consideration. In the design process, both single- and multiobjective optimization approaches, including genetic algorithms, are utilized. Results showed that stacking sequences ensuring lower thermal expansion coefficients and higher elastic moduli than those of traditional laminate designs can be obtained.