Growing neoclassical tearing modes seeded via transient-induced-multimode interactions

E. C. Howell, J. R. King, S. E. Kruger, J. D. Callen, R. J. La Haye, R. S. Wilcox

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6 Scopus citations

Abstract

Nonlinear extended magnetohydrodynamics simulations demonstrating seeding of neoclassical tearing modes (NTMs) via magnetohydrodynamics-transient-induced multimode interactions are presented. Simulations of NTMs are enabled by two recent NIMROD code developments: the implementation of heuristic neoclassical stresses and the application of transient magnetic perturbations (MPs) at the boundary. NTMs are driven unstable by the inherently pressure driven kinetic bootstrap current, which arises due to collisional viscosity between passing and trapped electrons. These simulations use heuristic closures that model the neoclassical electron and ion stresses. NTM growth requires a seed island, which is generated by a transiently applied MP in simulations. The capability is demonstrated using kinetic-based reconstructions with flow of a DIII-D ITER Baseline Scenario discharge (La Haye et al., in Proceedings IAEA FEC, 2020). The applied MP seeds a 2/1 NTM that grows in two phases: a slow growth phase followed by a faster robust growth phase. Additionally, an evolving sequence of higher order core modes are excited at first. Power transfer analysis shows that nonlinear interactions between the core modes and the 2/1 helps drive the initial slow growth. Once the induced 2/1 magnetic island reaches a critical width, the NTM transitions to faster robust growth, which is well described by the nonlinear modified Rutherford equation. This work highlights the role of nonlinear mode coupling in seeding NTMs.

Original languageEnglish
Article number022507
JournalPhysics of Plasmas
Volume29
Issue number2
DOIs
StatePublished - Feb 1 2022

Funding

E. C. Howell thanks the NTM seeding group for useful discussions on topics related to this work. This material is based on work supported by the U.S. Department of Energy Office of Science and the SciDAC Center for Extended MHD modeling under contract numbers DE-SC0018313, DE-FC02-04ER54698, and DE-FG02-86ER53218. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under contract number DE-AC02-05CH11231.

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