Turbulent drag reduction by streamwise traveling waves

Armin Zare; Binh K. Lieu; Mihailo R. Jovanovic

doi:10.1109/CDC.2012.6425850

Turbulent drag reduction by streamwise traveling waves

Armin Zare, Binh K. Lieu, Mihailo R. Jovanovic

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

For a turbulent channel flow with zero-net-mass-flux surface actuation in the form of streamwise traveling waves we develop a model-based approach to design control parameters that can reduce skin-friction drag. In contrast to the traditional approach that relies on numerical simulations and experiments, we use turbulence modeling in conjunction with stochastically forced linearized equations to determine the effect of small amplitude traveling waves on the drag. Our simulation-free approach is capable of identifying drag reducing trends in traveling waves with various control parameters. High-fidelity simulations are used to verify quality of our theoretical predictions.

Original language	English (US)
Article number	6425850
Pages (from-to)	3122-3126
Number of pages	5
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/CDC.2012.6425850
State	Published - 2012
Event	51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States Duration: Dec 10 2012 → Dec 13 2012

Keywords

Drag reduction
flow control
stochastically forced Navier-Stokes equations
turbulence modeling

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10.1109/CDC.2012.6425850

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title = "Turbulent drag reduction by streamwise traveling waves",

abstract = "For a turbulent channel flow with zero-net-mass-flux surface actuation in the form of streamwise traveling waves we develop a model-based approach to design control parameters that can reduce skin-friction drag. In contrast to the traditional approach that relies on numerical simulations and experiments, we use turbulence modeling in conjunction with stochastically forced linearized equations to determine the effect of small amplitude traveling waves on the drag. Our simulation-free approach is capable of identifying drag reducing trends in traveling waves with various control parameters. High-fidelity simulations are used to verify quality of our theoretical predictions.",

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author = "Armin Zare and Lieu, {Binh K.} and Jovanovic, {Mihailo R.}",

year = "2012",

doi = "10.1109/CDC.2012.6425850",

language = "English (US)",

pages = "3122--3126",

journal = "Proceedings of the IEEE Conference on Decision and Control",

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T1 - Turbulent drag reduction by streamwise traveling waves

AU - Zare, Armin

AU - Lieu, Binh K.

AU - Jovanovic, Mihailo R.

PY - 2012

Y1 - 2012

N2 - For a turbulent channel flow with zero-net-mass-flux surface actuation in the form of streamwise traveling waves we develop a model-based approach to design control parameters that can reduce skin-friction drag. In contrast to the traditional approach that relies on numerical simulations and experiments, we use turbulence modeling in conjunction with stochastically forced linearized equations to determine the effect of small amplitude traveling waves on the drag. Our simulation-free approach is capable of identifying drag reducing trends in traveling waves with various control parameters. High-fidelity simulations are used to verify quality of our theoretical predictions.

AB - For a turbulent channel flow with zero-net-mass-flux surface actuation in the form of streamwise traveling waves we develop a model-based approach to design control parameters that can reduce skin-friction drag. In contrast to the traditional approach that relies on numerical simulations and experiments, we use turbulence modeling in conjunction with stochastically forced linearized equations to determine the effect of small amplitude traveling waves on the drag. Our simulation-free approach is capable of identifying drag reducing trends in traveling waves with various control parameters. High-fidelity simulations are used to verify quality of our theoretical predictions.

KW - Drag reduction

KW - flow control

KW - stochastically forced Navier-Stokes equations

KW - turbulence modeling

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DO - 10.1109/CDC.2012.6425850

M3 - Conference article

AN - SCOPUS:84874230556

SN - 0743-1546

SP - 3122

EP - 3126

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

M1 - 6425850

T2 - 51st IEEE Conference on Decision and Control, CDC 2012

Y2 - 10 December 2012 through 13 December 2012

ER -

Turbulent drag reduction by streamwise traveling waves

Abstract

Keywords

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