Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/10447
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dc.contributor.authorDemir, Görkem-
dc.contributor.authorGörgülüarslan, Recep M.-
dc.contributor.authorAradağ, Selin-
dc.date.accessioned2023-07-14T20:17:00Z-
dc.date.available2023-07-14T20:17:00Z-
dc.date.issued2023-
dc.identifier.issn1615-147X-
dc.identifier.issn1615-1488-
dc.identifier.urihttps://doi.org/10.1007/s00158-023-03557-1-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/10447-
dc.description.abstractRobust aerodynamic shape optimization of aircraft components is a computationally expensive process due to a high number of parametrized design variables of complex geometry definitions especially when uncertainties are involved. Therefore, reducing the number of design variables and complexity has vital importance to respond over a range of on-design requirements with the need to meet design constraints in the robust optimization process. In this study, the Proper Orthogonal Decomposition (POD) method is incorporated into the Inductive Design Exploration Method (IDEM) for the aerodynamic shape optimization process of an aircraft wing with reduced computational effort. POD data reduction technique is utilized to filter design variables of the wing by extracting the dominant features of the system to reduce the number of design variables in the robust optimization process. POD-based Radial Basis Function (RBF) data estimation surrogate model is also implemented to enrich design alternatives for the optimization framework with a reduced computational cost. Model uncertainties due to the Computational Fluid Dynamics (CFD) turbulence model are introduced to IDEM as epistemic uncertainties using the eigenspace perturbation methodology. The results of the case study show that the proposed IDEM can obtain robust wing designs satisfying the performance goals while accounting for the uncertainties in the top-to-bottom approach.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofStructural and Multidisciplinary Optimizationen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputational fluid dynamicsen_US
dc.subjectProper orthogonal decompositionen_US
dc.subjectAircraft wingen_US
dc.subjectUncertaintyen_US
dc.subjectRobust Optimizationen_US
dc.subjectSurrogateen_US
dc.subjectDynamicsen_US
dc.titleRobust Shape Optimization Under Model Uncertainty of an Aircraft Wing Using Proper Orthogonal Decomposition and Inductive Design Exploration Methoden_US
dc.typeArticleen_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume66en_US
dc.identifier.issue4en_US
dc.authoridGorguluarslan, Recep/0000-0002-0550-8335-
dc.identifier.wosWOS:000963827900001en_US
dc.identifier.scopus2-s2.0-85152629833en_US
dc.institutionauthor-
dc.identifier.doi10.1007/s00158-023-03557-1-
dc.authorscopusid57194858815-
dc.authorscopusid56076567200-
dc.authorscopusid11440423900-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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