Development of a reduced-order dynamic model of a jet-in-crossflow from experimental data Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/xg94hs915

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  • A reduced-order dynamic model is derived that captures the primary dynamics of a jet-in-crossflow. This is significant progress toward the end goal of reduced order model based closed-loop flow control. The reduced order model is a set of differential equations obtained through the use of snapshot based Proper Orthogonal Decomposition (POD) of experimental Particle Image Velocimetry (PlY) data in conjunction with a Galerkin Projection of the Navier-Stokes equations onto the POD basis functions. Such models are ultimately useful in optimization calculations, control derivation and sensitivity analysis, when the size of a model from computational fluid dynamics is too large to be tractable. The goal of this thesis is to derive a reduced-order model and to investigate, via simulation, the type of dynamic behaviors exhibited with a variety of initial conditions. The results obtained are promising and show that the model is capable of reproducing the dynamics of the experimental system in an open-loop computer simulation.
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