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Reduced Order Modeling of the Pressure Distribution over the AGARD 445.6 Wing Read More: https://arc.aiaa.org/doi/abs/10.2514/6.2018-1760

dc.contributor.authorIssac, Yanal
dc.contributor.authorSilva, Walter A.
dc.contributor.authorMavris, Dimitri N.
dc.date.accessioned2018-05-19T04:49:25Z
dc.date.available2018-05-19T04:49:25Z
dc.date.issued2018-01-08
dc.identifier.citationYanal Issac, Walter A. Silva, and Dimitri N. Mavris. "Reduced Order Modeling of the Pressure Distribution over the AGARD 445.6 Wing", 2018 AIAA Atmospheric Flight Mechanics Conference, AIAA SciTech Forum, (AIAA 2018-1760)en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/143832
dc.description.abstractA reduced order model (ROM) has been developed for the pressure distribution over the AGARD 445.6 wing using a computational fluid dynamics (CFD) code, FUN3D version 12.9. Modal step responses of the inviscid, unsteady aerodynamic system are computed using the FUN3D code. Using proper orthogonal decomposition (POD), the modal step responses are decomposed into a set of pressure modes and a set of generalized coordinates associated with every pressure mode. An appropriate subset of the generalized coordinates is then transformed into state-space form. The unsteady aerodynamic state-space ROM could then be combined with a state-space model of the structure to create an aeroelastic simulation in MATLAB. The aerodynamic model is orders of magnitude faster than the high-order solution procedure developed by the use of traditional fluid and structural solvers enabling flutter, aeroservoelasticity analysis, and optimization at an earlier stage of the fixed wing aircraft design process.en_US
dc.language.isoen_USen_US
dc.publisher2018 AIAA Atmospheric Flight Mechanics Conferenceen_US
dc.titleReduced Order Modeling of the Pressure Distribution over the AGARD 445.6 Wing Read More: https://arc.aiaa.org/doi/abs/10.2514/6.2018-1760en_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMechanical Engineering
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationotherNASA Langley Research Centeren_US
dc.contributor.affiliationotherGeorgia Institute of Technologyen_US
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/143832/1/6.2018-1760.pdf
dc.identifier.doihttps://doi.org/10.2514/6.2018-1760
dc.owningcollnameMechanical Engineering, Department of


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