2013
DOI: 10.1017/jfm.2013.576
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Nonlinear control of unsteady finite-amplitude perturbations in the Blasius boundary-layer flow

Abstract: is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. 1Nonlinear control of unsteady finite-amplitude perturbations in the Blasius boundary-layer flow The present work provides an optimal control strategy, based on the nonlinear NavierStokes equations, aiming at hampering the rapid growth of unsteady finite-amplitude perturbations in a Blasius boundary-layer flow. A variational procedure is used to find the blowi… Show more

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Cited by 19 publications
(21 citation statements)
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“…The knowledge of these nonlinear mechanisms may allow one to design effective control strategies to delay transition by using wall suction or spanwise oscillations of the boundaries. 49,50 The aim of the present paper is to extend the analysis of the NLOP to the case of the ASBL, following the approach that the authors have employed for the BBL, discussing similarities and differences between these two cases, and highlighting the role of the suction at the wall.…”
Section: Introductionmentioning
confidence: 99%
“…The knowledge of these nonlinear mechanisms may allow one to design effective control strategies to delay transition by using wall suction or spanwise oscillations of the boundaries. 49,50 The aim of the present paper is to extend the analysis of the NLOP to the case of the ASBL, following the approach that the authors have employed for the BBL, discussing similarities and differences between these two cases, and highlighting the role of the suction at the wall.…”
Section: Introductionmentioning
confidence: 99%
“…The aforementioned approach is also known as model predictive control (MPC). Cherubini et al (2013) applied MPC to a three-dimensional boundary layer flow with optimally growing perturbations as initial conditions and successfully brought the flow back to the laminar state. They also compared the performance of linear and nonlinear controllers.…”
Section: Nonlinear Optimal Controlmentioning
confidence: 99%
“…Their study aimed at controlling both streaks developing in flat-plate boundary layers and Görtler vortices evolving along concave surfaces. Cherubini et al (2013) applied a nonlinear optimal control strategy with blowing and suction, starting with the full Navier-Stokes equations, and using the method of Lagrange multipliers to determine the largest decrease of the disturbance energy. A closed-loop optimal control technique based on wall transpiration was derived and tested by Papadakis et al (2016), in the framework of a flat-plate laminar boundary layer excited by freestream disturbances.…”
Section: Optimal Control Approachmentioning
confidence: 99%