Reduced-order modelling of turbulent jets for noise control

Michael Schlegel, Bernd R. Noack, Pierre Comte, Dmitry Kolomenskiy, Kai Schneider, Marie Farge, Dirk M. Luchtenburg, Jon E. Scouten, Gilead Tadmor

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

15 Citations (Scopus)


A reduced-ordermodelling (ROM) strategy is pursued to achieve a mechanistic understanding of jet flow mechanisms targeting jet noise control. Coherent flow structures of the jet are identified by the proper orthogonal decomposition (POD) and wavelet analysis. These techniques are applied to an LES data ensemble with velocity snapshots of a three-dimensional, incompressible jet at a Reynolds number of Re =3600. A low-dimensionalGalerkin model of a three-dimensional jet is extracted and calibrated to the physical dynamics. To obtain the desired mechanistic understanding of jet noise generation, the loudest flow structures are distilled by a goal-oriented generalisation of the POD approach we term 'most observable decomposition' (MOD). Thus, a reduction of the number of dynamically most important degrees of freedom by one order of magnitude is achieved. Capability of the presented ROM strategy for jet noise control is demonstrated by suppression of loud flow structures.

Original languageEnglish
Title of host publicationNumerical Simulation of Turbulent Flows and Noise Generation
Subtitle of host publicationResults of the DFG/CNRS Research Groups FOR 507 and FOR 508
EditorsChristophe Brun, Daniel Juve, Michael Manhart, Claus-Dieter Munz
Number of pages25
Publication statusPublished - 2009
Externally publishedYes

Publication series

NameNotes on Numerical Fluid Mechanics and Multidisciplinary Design
ISSN (Print)1612-2909


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