| PHYSICS OF GASES, PLASMAS, AND ELECTRIC DISCHARGES |
Prev
Next
|
|
|
Linear analysis of plasma pressure-driven mode in reversed shear cylindrical tokamak plasmas |
| Ding-Zong Zhang(张定宗)1,2, Xu-Ming Feng(冯旭铭)1,2, Jun Ma(马骏)2,†, Wen-Feng Guo(郭文峰)2,‡, Yan-Qing Huang(黄艳清)1, and Hong-Bo Liu(刘洪波)1 |
1 College of Physics and Electronic Engineering, Hengyang Normal University, Hengyang 421008, China;
2 Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China |
|
|
|
|
Abstract The linear behavior of the dominant unstable mode ($m=2$, $n=1$) and its high order harmonics ($m=2n$, $n\ge 2$) are numerically investigated in a reversed magnetic shear cylindrical plasma with two $q=2$ rational surfaces on the basis of the non-reduced magnetohydrodynamics (MHD) equations. The results show that with low beta (beta is defined as the ratio of plasma pressure to magnetic field pressure), the dominant mode is a classical double tearing mode (DTM). However, when the beta is sufficiently large, the mode is driven mainly by plasma pressure. In such a case, both the linear growth rate and mode structures are strongly affected by pressure, while almost independent of the resistivity. This means that the dominant mode undergoes a transition from DTM to pressure-driven mode with the increase of pressure, which is consistent with the experimental result in ASDEX Upgrade. The simulations also show that the distance between two rational surfaces has an important influence on the pressure needed in mode transition. The larger the distance between two rational surfaces, the larger the pressure for driving the mode transition is. Motivated by the phenomena that the high-$m$ modes may dominate over low-$m$ modes at small inter-resonance distance, the high-$m$ modes with different pressures and $q$ profiles are studied too.
|
Received: 18 February 2022
Revised: 25 April 2022
Accepted manuscript online: 18 May 2022
|
|
PACS:
|
52.55.Tn
|
(Ideal and resistive MHD modes; kinetic modes)
|
| |
52.65.-y
|
(Plasma simulation)
|
| |
52.35.Py
|
(Macroinstabilities (hydromagnetic, e.g., kink, fire-hose, mirror, ballooning, tearing, trapped-particle, flute, Rayleigh-Taylor, etc.))
|
| |
52.30.Cv
|
(Magnetohydrodynamics (including electron magnetohydrodynamics))
|
|
| Fund: Project supported by the Research Foundation of Education Bureau of Hunan Province, China (Grant No. 21B0648), the National Natural Science Foundation of China (Grant Nos. 11805239, 12075282, and 11775268), and the Natural Science Foundation of Hunan Province, China (Grant No. 2019JJ50011). |
Corresponding Authors:
Jun Ma, Wen-Feng Guo
E-mail: junma@ipp.ac.cn;wfguo@ipp.ac.cn
|
Cite this article:
Ding-Zong Zhang(张定宗), Xu-Ming Feng(冯旭铭), Jun Ma(马骏), Wen-Feng Guo(郭文峰), Yan-Qing Huang(黄艳清), and Hong-Bo Liu(刘洪波) Linear analysis of plasma pressure-driven mode in reversed shear cylindrical tokamak plasmas 2023 Chin. Phys. B 32 015201
|
[1] Eriksson L G, Fourment C, Fuchs V, et al. 2002 Phys. Rev. Lett. 88 145001
[2] Joffrin E, Challis C D, Conway G D, et al. 2003 Nucl. Fusion 43 1167
[3] Snipes J A, Campbell D J, Hender T C, et al. 1990 Nucl. Fusion 30 205
[4] ITER physics Expert Group on disruptions, Plasma Control and MHD, et al. 1999 Nucl. Fusion 39 2577
[5] Günter S, Schade S, Maraschek M, et al. 2000 Nucl. Fusion 40 1541
[6] Wu M F, Liu Z X, Zhang T, et al. 2020 Plasma Sci. Technol. 22 025102
[7] Ishii Y, Masafumi A and Kishimoto Y 2002 Phys. Rev. Lett. 89 205002
[8] Pritchett P L, Lee Y C and Drake J F 1980 Phys. Fluids 23 1368
[9] Ishii Y, Azumi M and Tuda T 2000 Phys. Plasmas 7 4477
[10] Furth H P and Killen J 1963 Phys. Fluids 6 459
[11] Ishii Y, Azumi M, Kishimoto Y, et al. 2003 Nucl. Fusion 43 539
[12] Ishii Y, Azumi M and Kishimoto Y 2003 Phys. Plasmas 10 3512
[13] Guo W, Ma J and Yu Q 2019 Plasma Phys. Control. Fusion 61 075011
[14] Ma J, Guo W, Yu Z, et al. 2017 Nucl. Fusion 57 126004
[15] Guo W, Ma J and Yu Z 2017 Phys. Plasmas 24 032115
[16] Bierwage A, Benkadda Sadruddin, Hamaguchi S, et al. 2005 Phys. Plasmas 12 082504
[17] Bierwage A, Benkadda Sadruddin, Hamaguchi S, et al. 2007 Phys. Plasmas 14 022107
[18] Zhang W, Ma Z W, Lu X Q, et al. 2020 Nucl. Fusion 60 126022
[19] Zhang W, Ma Z W and Wang S 2017 Phys. Plasmas 24 102510
[20] Pritchett P L 2005 Phys. Plasmas 12 062301
[21] Zheng S, Zhang J P, Duan P, et al. 2013 Acta Phys. Sin. 62 025205 (in Chinese)
[22] Dong J Q 1984 Acta Phys. Sin. 33 1341 (in Chinese)
[23] Wei L and Wang Z X 2011 Nucl. Fusion 51 123005
[24] Liu T, Yang J F, Zhao G Z, et al. 2017 Plasma Phys. Control. Fusion 59 065009
[25] Jardin S 2010 Computational Methods in Plasma Physics (Boca Raton: CRC Press) pp. 301-323
[26] Guo W and Ma J 2020 AIP Adv. 10 075213 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|
