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dc.contributor.authorFernandez del Campo, Pablo
dc.contributor.authorWang, Qiqi
dc.date.accessioned2018-04-27T21:11:07Z
dc.date.available2018-04-27T21:11:07Z
dc.date.issued2017-06
dc.identifier.isbn978-1-62410-506-7
dc.identifier.urihttp://hdl.handle.net/1721.1/115070
dc.description.abstractWe present an investigation of the Lyapunov spectrum of the chaotic, separated flow around the NACA 0012 airfoil at Reynolds number 2,400. The impact of the numerical discretization on the spectrum is investigated through time and space refinement studies. Numerical results show that the time discretization has a small impact on the Lyapunov exponents, whereas the spatial discretization can dramatically change them. In particular, the asymptotic Lyapunov spectrum for this wall-bounded flow is achieved with global CFL numbers as large as O(10¹−10²), whereas the system continues to become more and more chaotic as the mesh is refined even for meshes that are much finer than the best practice for this type of flows. Based on these results, we conclude the paper with a discussion on the feasibility of adjoint-based sensitivity analysis for chaotic flows.en_US
dc.description.sponsorshipUnited States. Air Force. Office of Scientific Research (Award FA9550-15-1-0072)en_US
dc.description.sponsorshipStanford University (CTR Summer Program 2016)en_US
dc.language.isoen_US
dc.publisherAmerican Institute of Aeronautics and Astronautics (AIAA)en_US
dc.relation.isversionofhttps://doi.org/10.2514/6.2017-3797en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceFernandezen_US
dc.titleLyapunov spectrum of scale-resolving turbulent simulations. Application to chaotic adjointsen_US
dc.typeArticleen_US
dc.identifier.citationFernandez, Pablo, and Qiqi Wang. “Lyapunov Spectrum of Scale-Resolving Turbulent Simulations. Application to Chaotic Adjoints.” 23rd AIAA Computational Fluid Dynamics Conference (June 2, 2017), Denver, Colorado, 2017.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.contributor.approverFernandez del Campo, Pabloen_US
dc.contributor.mitauthorFernandez del Campo, Pablo
dc.contributor.mitauthorWang, Qiqi
dc.relation.journal23rd AIAA Computational Fluid Dynamics Conferenceen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsFernandez, Pablo; Wang, Qiqien_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6291-4946
dc.identifier.orcidhttps://orcid.org/0000-0001-9669-2563
mit.licenseOPEN_ACCESS_POLICYen_US


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