Empirical boundary detection of tearing mode onset at DIII-D

POSTER

Abstract

An empirical boundary for the n=1 tearing mode (TM) is developed via data-driven method and verified on thousands of DIII-D shots. The locked n=1 TM is a key precursor leading to disruptions and its predictive ability is strongly desirable for ITER and SPARC. The fitted boundary is a linear function of equilibrium parameters like collisionality, poloidal beta and the MHD risk factor (a combination of the normalized electron temperature profile width, q95 and elongation). The boundary indicates with a value related to the probability of having the TM onset within 200 ms and it achieves ~85% of shot-by-shot accuracy in offline analysis of DIII-D data. Preliminary cross-machine analysis of TM onset prediction shows potential applicability of the empirical boundary to C-Mod and EAST data as well, but the relative importance of the individual parameters is different for different devices. This suggests the existence of different trigger mechanisms for the TMs, implying that the boundary could be generalized using data from various tokamaks representing different trigger mechanisms to improve its extrapolability. Finally, this new proximity metric to the n=1 TM onset has been incorporated into the real-time in DIII-D plasma control system and results from experiments will be discussed.

*Work supported by the US DOE under DE-FC02-04ER54698, DE-SC0014264, DE-FG02-04ER54761 and DE-AC02-09CH11466.

Presenters

  • Jinxiang Zhu

    • Massachusetts Institute of Technology MI

Authors

  • Jinxiang Zhu

    • Massachusetts Institute of Technology MI
  • Cristina Rea

    • Massachusetts Institute of Technology MI
  • Robert S Granetz

    • Massachusetts Institute of Technology (MIT)
    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology
    • MIT Plasma Science and Fusion Center
    • MIT
  • Earl S Marmar

    • Massachusetts Institute of Technology MIT
  • Ryan M Sweeney

    • MIT PSFC
    • Massachusetts Institute of Technology
    • MIT Plasma Science and Fusion Center
  • Francesca Turco

    • Columbia University
  • Keith Erickson

    • Princeton Plasma Physics Laboratory
    • PPPL
  • Jayson L Barr

    • General Atomics - San Diego
    • General Atomics
  • Roy A Tinguely

    • Massachusetts Institute of Technology
    • MIT