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Quantitative evaluation of predictability of linear reduced-order model based on particle-image-velocimetry data of separated flow field around airfoil

Taku Nonomura, Koki Nankai, Yuto Iwasaki, Atsushi Komuro, Keisuke Asai

2021Experiments in Fluids26 citationsDOIOpen Access PDF

Topics & Concepts

AirfoilParticle image velocimetryProper orthogonal decompositionDynamic mode decompositionPredictabilityFlow (mathematics)Field (mathematics)Mode (computer interface)Reduction (mathematics)Computer scienceLinear modelVector fieldComputational fluid dynamicsLinear regressionAlgorithmData reductionApplied mathematicsMathematicsExperimental dataVelocimetryDecompositionMechanicsBasis (linear algebra)Reynolds numberInstrumentation (computer programming)Linear systemModel Reduction and Neural NetworksBiomimetic flight and propulsion mechanismsFluid Dynamics and Turbulent Flows
Quantitative evaluation of predictability of linear reduced-order model based on particle-image-velocimetry data of separated flow field around airfoil | Litcius