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Dynamic mode decomposition of numerical and experimental data

Journal of Fluid Mechanics · 2010 · Vol. 656 · pp. 5–28
Peter J. Schmid

Abstract

The description of coherent features of fluid flow is essential to our understanding of fluid-dynamical and transport processes. A method is introduced that is able to extract dynamic information from flow fields that are either generated by a (direct) numerical simulation or visualized/measured in a physical experiment. The extracted dynamic modes, which can be interpreted as a generalization of global stability modes, can be used to describe the underlying physical mechanisms captured in the data sequence or to project large-scale problems onto a dynamical system of significantly fewer degrees of freedom. The concentration on subdomains of the flow field where relevant dynamics is expected allows the dissection of a complex flow into regions of localized instability phenomena and further illustrates the flexibility of the method, as does the description of the dynamics within a spatial framework. Demonstrations of the method are presented consisting of a plane channel flow, flow over a two-dimensional cavity, wake flow behind a flexible membrane and a jet passing between two cylinders.

Model Reduction and Neural NetworksFluid Dynamics and Vibration AnalysisFluid Dynamics and Turbulent FlowsDynamic mode decompositionFlow (mathematics)Dynamical systems theoryInstabilityFlexibility (engineering)MechanicsComputer scienceDegrees of freedom (physics and chemistry)Fluid dynamicsWake
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References
Coherent structures and turbulence
Journal of Fluid Mechanics · 1986 · 1,109 citations
Spectral analysis of nonlinear flows
Journal of Fluid Mechanics · 2009 · 2,210 citations
Accurate solution of the Orr–Sommerfeld stability equation
Journal of Fluid Mechanics · 1971 · 1,436 citations
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