Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session GP11: Poster Session III: Basic Plasma Physics: General; Space and Astrophysical Plasmas; ICF Measurement and Computational Techniques, Direct and Indirect Drive; MIF Science and Technology (9:30am-12:30pm)
Tuesday, November 6, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.GP11.52
Abstract: GP11.00052 : Role of Stable Modes in Driven Shear-Flow Turbulence*
Presenter:
Adrian Everett Fraser
(University of Wisconsin-Madison)
Authors:
Adrian Everett Fraser
(University of Wisconsin-Madison)
M.J. Pueschel
(IFS / UT Austin, IFS / UT Austin)
Paul Willis Terry
(University of Wisconsin-Madison)
Ellen Gould Zweibel
(University of Wisconsin-Madison)
Unstable shear flows are found in a variety of fusion and astrophysical systems, where they may become turbulent, and have recently been shown to nonlinearly drive large-scale damped modes [Fraser et al. PoP (2017)]. These previously-neglected stable modes remove energy from the fluctuations before it cascades to small scales, suggesting they are a key component of shear-driven turbulence, where typical models assume that the largest scales take the form of the most unstable modes. Here we compare gyrokinetic simulations of forced, shear-driven turbulence where fluctuations are subject to scale-independent radiative damping, which suppresses the impact of stable modes relative to unstable ones in a manner consistent with the expected effect of a flow-aligned magnetic field in a free shear layer. We construct a simple model for how Reynolds stress scales with driving, showing that the inclusion of stable modes yields significant improvements to the model except at high radiative damping. Informed by these results, we then compare to the free shear layer system, and investigate how the turbulence scales with the flow-aligned magnetic field.
*Supported by the NSF, U.S. DOE, and U. Wisconsin.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.GP11.52
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