Bioinspired genetic-algorithm optimized ground-effect wing design: flight performance benefits and aircraft stability effects

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dc.contributor.authorZammit, Karl
dc.contributor.authorSmith, Howard
dc.contributor.authorLobo, Noel Sierra
dc.contributor.authorGiannopoulos, Ioannis K.
dc.date.accessioned2024-06-03T12:52:57Z
dc.date.available2024-06-03T12:52:57Z
dc.date.issued2024-05-02
dc.description.abstractThis paper presents a bioinspired, genetic-algorithm evolutionary process for Ground-Effect vehicle wing design. The study made use of a rapid aerodynamic model generation and results evaluation computational fluid dynamics vortex lattice method software, supervised by a genetic algorithm optimization Python script. The design space for the aircraft wing parametric features drew inspiration from seabirds, under the assumption of their wings being naturally evolved and partially optimized for proximity flight over water surfaces. A case study was based on the A-90 Orlyonok Russian Ekranoplan, where alternative bioinspired wing variations were proposed. The study objective was to investigate the possible increased flight aircraft performance when using bioinspired wings, as well as verify the static and dynamic aircraft stability compliance for Ground-Effect flight. The methodology presented herein along with the study results, provided an incremental step towards advancing Ground-Effect aircraft conceptual designs using computational fluid dynamics.en_UK
dc.identifier.citationZammit K, Smith H, Lobo NS, Giannopoulos IK. (2024) Bioinspired genetic-algorithm optimized ground-effect wing design: flight performance benefits and aircraft stability effects. WSEAS Transactions on Fluid Mechanics, Volume 19, May 2024, pp. 189-199en_UK
dc.identifier.issn1790-5087
dc.identifier.urihttps://doi.org/10.37394/232013.2024.19.19
dc.identifier.urihttps://wseas.com/journals/articles.php?id=9226
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/21817
dc.language.isoen_UKen_UK
dc.publisherWorld Scientific and Engineering Academy and Society (WSEAS)en_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBioinspirationen_UK
dc.subjectGenetic Algorithmen_UK
dc.subjectGround Effecten_UK
dc.subjectEkranoplanen_UK
dc.subjectCFDen_UK
dc.subjectVortex Lattice Methoden_UK
dc.titleBioinspired genetic-algorithm optimized ground-effect wing design: flight performance benefits and aircraft stability effectsen_UK
dc.typeArticleen_UK
dcterms.dateAccepted2024-04-25

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