Linkage Learning Optimization of Aeroelastic and Structural Behavior of Composite Wings

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dc.authoridAhmadi Tehrani, Majid/0000-0003-0860-4119
dc.authoridFarsadi, Turac/0009-0002-8382-0313
dc.authoridRafiee, Roham/0000-0002-1552-5024
dc.contributor.authorRafiee, Roham
dc.contributor.authorFarsadi, Touraj
dc.contributor.authorTehrani, Majid Ahmadi
dc.contributor.authorSharifi, Parsa
dc.date.accessioned2025-01-06T17:37:04Z
dc.date.available2025-01-06T17:37:04Z
dc.date.issued2023
dc.description.abstractThe paper aims to develop a systematic numerical design for composite wings optimization subject to aerodynamic loading and to assess the aeroelastic and structural performance of the optimized composite wing. Aeroelastic tailoring is a powerful method for utilizing the anisotropic features of composite materials used in lightweight aerospace structures. The present proposed methodology combines three different analysis tools: a commercial FE software commonly used in industry, an in-house reduced order aeroelastic framework for aeroelastic analyses with tailoring capabilities, LLGA, in-house linkage-learning genetic algorithms for optimization of stacking sequences. As a multidisciplinary problem where structural and aeroelastic behaviors are interacted, developed multi-level optimization scenario in this research converges to the optimal design in a very short time. The proposed methodology implemented as a computer code can effectively be applied to any arbitrary air vehicle's composite wing by changing input data.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [220N396]; University of Tabriz; Iran Ministry of Science, Research and Technology (MSRT) [IRTU-2-1410]
dc.description.sponsorshipThis study has been supported by the Scientific and Technological Research Council of Turkey (TUBITAK, Project No. 220N396) and University of Tabriz and Iran Ministry of Science, Research and Technology (MSRT, Project No. IRTU-2-1410). The authors gratefully acknowledge the support of this study.
dc.identifier.doi10.1007/s42405-023-00603-6
dc.identifier.endpage1198
dc.identifier.issn2093-274X
dc.identifier.issn2093-2480
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85158006267
dc.identifier.scopusqualityQ2
dc.identifier.startpage1187
dc.identifier.urihttps://doi.org/10.1007/s42405-023-00603-6
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2105
dc.identifier.volume24
dc.identifier.wosWOS:000981336000001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofInternational Journal of Aeronautical and Space Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectComposites
dc.subjectOptimization
dc.subjectAeroelastic analysis
dc.subjectStructural analysis
dc.subjectNumerical modeling
dc.titleLinkage Learning Optimization of Aeroelastic and Structural Behavior of Composite Wings
dc.typeArticle

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