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 BP11: Poster Session I: HEDP; General Stellarator; Wendelstein 7-X; Heating, Current Drive, and Energetic Ions (9:30am-12:30pm)
Monday, November 5, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.BP11.76
Abstract: BP11.00076 : Cold plasma finite element methods for RF waves with synthetic turbulence*
Presenter:
Cornwall Lau
(Oak Ridge National Lab)
Authors:
Cornwall Lau
(Oak Ridge National Lab)
Ed D'Azevedo
(Oak Ridge National Laboratory)
David L Green
(Oak Ridge National Lab)
Elijah Henry Martin
(Oak Ridge National Lab)
Syun'ichi Shiraiwa
(Massachusetts Inst of Tech-MIT)
Gregory Marriner Wallace
(Massachusetts Inst of Tech-MIT)
New 2-D and 3-D cold plasma finite element simulations of lower hybrid (LH) waves with synthetic turbulence will be shown that can modify the polarization, penetration and scrape-off-layer (SOL) absorption of the LH wave. The key parameters required to observe these modifications are that the turbulence amplitude needs to be large and that the turbulence scale length is close to the LH wavelength. This may have implications for the coupling of LH waves through the SOL into the core plasma given that these parameters are necessary to reproduce LH electric field polarization measurements on Alcator C-Mod. Because these finite element simulations are computationally expensive, different solvers are being developed and tested to increase the maximum solvable problem size. This problem is typically solved using a direct solver, but it will be shown that an iterative domain decomposition with a multiplicative Schwarz method can possibly reduce the memory footprint for cold plasma finite element problems. Scaling studies for direct and iterative solvers on both shared and distributed memory system will be shown.
*This work is supported by U.S Department of Energy, Office of Science, Office of Fusion Energy Sciences under contract numbers DE-AC05-00OR22725 and DE-FC02-99ER54512.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.BP11.76
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