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Stochastic dynamics and model reduction of amplifier flows: the backward facing step flow

Published online by Cambridge University Press:  19 February 2013

G. Dergham
Affiliation:
DynFluid Laboratory, Arts et Métiers ParisTech, 151 Boulevard de l’Hôpital, 75013 Paris, France ONERA, The French-Aerospace Lab, 8 rue des Vertugadins, 92190 Meudon, France
D. Sipp
Affiliation:
ONERA, The French-Aerospace Lab, 8 rue des Vertugadins, 92190 Meudon, France
J.-Ch. Robinet*
Affiliation:
DynFluid Laboratory, Arts et Métiers ParisTech, 151 Boulevard de l’Hôpital, 75013 Paris, France
*
Email address for correspondence: Jean-christophe.ROBINET@ensam.eu

Abstract

Methods for investigating and approximating the linear dynamics of amplifier flows are examined in this paper. The procedures are derived for incompressible flow over a two-dimensional backward-facing step. First, the singular value decomposition of the resolvent is performed over a frequency range in order to identify the optimal and suboptimal harmonic forcing and responses of the flow. These forcing/responses are shown to be organized into two categories: the first accounting for the Orr and Kelvin–Helmholtz instabilities in the shear layer and the second for the advection and diffusion of perturbations in the free stream. Next, we investigate the dynamics of the flow when excited by a white in space and time noise. We compute the predominant patterns of the random flow which optimally account for the sustained variance, the empirical orthogonal functions (EOFs), as well as the predominant forcing structures which optimally contribute to the sustained variance, the stochastic optimals (SOs). The leading EOFs and SOs are expressed as a linear combination of the suboptimal forcing and responses of the flow and are related to particular instability mechanisms and/or frequency intervals. Finally, we use the leading EOFs, SOs and balanced modes (obtained from balanced truncation) to build low-order models of the flow dynamics. These models are shown to accurately recover the time propagator and resolvent of the original dynamical system. In other words, such models capture the entire flow response from any forcing and may be used in the design of efficient closed-loop controllers for amplifier flows.

Type
Papers
Copyright
©2013 Cambridge University Press

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Dergham et al. supplementary movie

Time-evolution of the streamwise component of the velocity field in the DNS (up) and the ROM (down) respectively. The middle figure represents the measurement me extracted from the DNS.

Download Dergham et al. supplementary movie(Video)
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