Skip to Main content Skip to Navigation
Journal articles

Dynamic mode decomposition of numerical and experimental data

Peter Schmid 1, *
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. © 2010 Cambridge University Press.
Complete list of metadata

Cited literature [28 references]  Display  Hide  Download

https://hal-polytechnique.archives-ouvertes.fr/hal-01020654
Contributor : Denis Roura Connect in order to contact the contributor
Submitted on : Wednesday, July 9, 2014 - 10:17:41 AM
Last modification on : Monday, July 27, 2020 - 1:00:05 PM
Long-term archiving on: : Thursday, October 9, 2014 - 10:40:44 AM

File

DMS0022112010001217a.pdf
Publisher files allowed on an open archive

Identifiers

Collections

`

Citation

Peter Schmid. Dynamic mode decomposition of numerical and experimental data. Journal of Fluid Mechanics, Cambridge University Press (CUP), 2010, 656 (August), pp.5-28. ⟨10.1017/s0022112010001217⟩. ⟨hal-01020654⟩

Share

Metrics

Record views

835

Files downloads

21048