Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session D15: Flow Control: Shark Skin and Surface Modifications
2:30 PM–4:40 PM,
Sunday, November 18, 2018
Georgia World Congress Center
Room: B302
Chair: Amy Lang, The University of Alabama
Abstract ID: BAPS.2018.DFD.D15.7
Abstract: D15.00007 : Optimization of two dimensional riblet geometries using the Resolvent analysis.*
3:48 PM–4:01 PM
Presenter:
Andrew Chavarin
(Univ of Southern California)
Authors:
Andrew Chavarin
(Univ of Southern California)
Mitul Luhar
(Univ of Southern California)
We utilize an extended version of the resolvent formulation proposed by McKeon and Sharma (2010, J. Fluid Mech.) for the optimization of patterned walls for passive turbulence control. Under the resolvent analysis, the Navier-Stokes equations are interpreted as a forcing-response system: the nonlinear convective terms are considered to be a forcing to the linear system, generating a velocity and pressure response. A gain-based decomposition of the forcing-response transfer function---the resolvent operator---yields a set of highly amplified velocity and pressure modes. Previous work has shown that these high-gain modes reproduce statistical and structural features for smooth-wall flows. In the extended formulation, the effect of complex walls is introduced into the governing equations using a volume penalization technique. A gain-based decomposition of this modified system reproduces the deterioration in performance observed in previous direct numerical simulations for channel flow over rectangular riblets of increasing size. Building on these tests, we parametrically study the effect of triangular riblets of varying size and shape to identify optimal geometries.
*This work was supported by the Air Force Office of Scientific Research under AFOSR grant no. FA9550-17-1-0142
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.D15.7
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