A robust and reliability-based optimization framework for conceptual aircraft wing design

dc.contributor.authorPaiva, Ricardo Miguel
dc.contributor.supervisorSuleman, Afzal
dc.contributor.supervisorCrawford, Curran
dc.date.accessioned2010-12-14T23:02:17Z
dc.date.available2010-12-14T23:02:17Z
dc.date.copyright2010en
dc.date.issued2010-12-14T23:02:17Z
dc.degree.departmentDepartment of Mechanical Engineering
dc.degree.levelDoctor of Philosophy Ph.D.en
dc.description.abstractA robustness and reliability based multidisciplinary analysis and optimization framework for aircraft design is presented. Robust design optimization and Reliability Based Design Optimization are merged into a uni ed formulation which streamlines the setup of optimization problems and aims at preventing foreseeable implementation issues in uncertainty based design. Surrogate models are evaluated to circumvent the intensive computations resulting from using direct evaluation in nondeterministic optimization. Three types of models are implemented in the framework: quadratic interpolation, regression Kriging and artificial neural networks. Regression Kriging presents the best compromise between performance and accuracy in deterministic wing design problems. The performance of the simultaneous implementation of robustness and reliability is evaluated using simple analytic problems and more complex wing design problems, revealing that performance benefits can still be achieved while satisfying probabilistic constraints rather than the simpler (and not as computationally intensive) robust constraints. The latter are proven to to be unable to follow a reliability constraint as uncertainty in the input variables increases. The computational effort of the reliability analysis is further reduced through the implementation of a coordinate change in the respective optimization sub-problem. The computational tool developed is a standalone application and it presents a user-friendly graphical user interface. The multidisciplinary analysis and design optimization tool includes modules for aerodynamics, structural, aeroelastic and cost analysis, that can be used either individually or coupled.en
dc.identifier.urihttp://hdl.handle.net/1828/3159
dc.languageEnglisheng
dc.language.isoenen
dc.rightsAvailable to the World Wide Weben
dc.subjectOptimizationen
dc.subjectReliabilityen
dc.subjectRobust design optimizationen
dc.subjectAircraft designen
dc.subject.lcshUVic Subject Index::Sciences and Engineering::Engineering::Aerospace engineeringen
dc.subject.lcshUVic Subject Index::Sciences and Engineering::Engineering::Mechanical engineeringen
dc.titleA robust and reliability-based optimization framework for conceptual aircraft wing designen
dc.typeThesisen

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