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dc.contributor.authorChandramoorthy, Nisha
dc.contributor.authorFernandez, Pablo
dc.contributor.authorTalnikar, Chaitanya
dc.contributor.authorWang, Qiqi
dc.date.accessioned2022-06-30T14:34:23Z
dc.date.available2021-10-27T20:35:53Z
dc.date.available2022-06-30T14:34:23Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/136549.2
dc.description.abstract© 2019 by the American Institute of Aeronautics and Astronautics, Inc. In chaotic systems, such as turbulent flows, the solutions to tangent and adjoint equations exhibit an unbounded growth in their norms. This behavior renders the instantaneous tangent and adjoint solutions unusable for sensitivity analysis. The Lea-Allen-Haine ensemble sensitivity (ES) estimates provide a way of computing meaningful sensitivities in chaotic systems by using tangent/adjoint solutions over short trajectories. In this paper, the feasibility of ES computations is analyzed under optimistic mathematical assumptions on the flow dynamics. Furthermore, upper bounds are estimated on the rate of convergence of the ES method in numerical simulations of turbulent flow. Even at the optimistic upper bound, the ES method is computationally intractable in each of the numerical examples considered.en_US
dc.language.isoen
dc.publisherAmerican Institute of Aeronautics and Astronautics (AIAA)en_US
dc.relation.isversionof10.2514/1.J058127en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleFeasibility Analysis of Ensemble Sensitivity Computation in Turbulent Flowsen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.relation.journalAIAA Journalen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-05-04T17:53:21Z
dspace.orderedauthorsChandramoorthy, N; Fernandez, P; Talnikar, C; Wang, Qen_US
dspace.date.submission2021-05-04T17:53:23Z
mit.journal.volume57en_US
mit.journal.issue10en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


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