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Dynamic mode decomposition of numerical and experimental data

Peter J. Schmid · Journal of Fluid Mechanics · 2010

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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.

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APA 7

Schmid, P. J. (2010). Dynamic mode decomposition of numerical and experimental data. https://doi.org/10.1017/s0022112010001217

MLA

Schmid, Peter J. "Dynamic mode decomposition of numerical and experimental data." 2010. https://doi.org/10.1017/s0022112010001217.

Chicago

Schmid, Peter J. 2010. "Dynamic mode decomposition of numerical and experimental data.". https://doi.org/10.1017/s0022112010001217.

Harvard

Schmid, P. J. 2010, Dynamic mode decomposition of numerical and experimental data, Journal of Fluid Mechanics, available at: https://doi.org/10.1017/s0022112010001217 [Accessed 8 Aug. 2026].

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Title
Dynamic mode decomposition of numerical and experimental data
Author / contributors
Peter J. Schmid
Publisher
Journal of Fluid Mechanics
Publication year
2010
Language
English

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