| PHYSICS OF GASES, PLASMAS, AND ELECTRIC DISCHARGES |
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A nonlinear wave coupling algorithm and its programing and application in plasma turbulences |
| Yong Shen(沈勇)1,†, Yu-Hang Shen(沈煜航)2, Jia-Qi Dong(董家齐)3,1, Kai-Jun Zhao(赵开君)4, Zhong-Bing Shi(石中兵)1, and Ji-Quan Li(李继全)1 |
1 Southwestern Institute of Physics, Chengdu 610041, China;
2 School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;
3 Institute for Fusion Theory and Simulation, Zhejiang University, Hangzhou 310013, China;
4 College of Nuclear Science and Engineer, East China University of Technology, Nanchang 330013, China |
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Abstract The fully developed turbulence can be regarded as a nonlinear system, with wave coupling inside, which causes the nonlinear energy to transfer, and drives the turbulence to develop further or be suppressed. Spectral analysis is one of the most effective methods to study turbulence system. In order to apply it to the study of the nonlinear wave coupling process of edge plasma turbulence, an efficient algorithm based on spectral analysis technology is proposed to solve the nonlinear wave coupling equation. The algorithm is based on a mandatory temporal static condition with the nonideal spectra separated from the ideal spectra. The realization idea and programing flow are given. According to the characteristics of plasma turbulence, the simulation data are constructed and used to verify the algorithm and its implementation program. The simulation results and experimental results show the accuracy of the algorithm and the corresponding program, which can play a great role in the studying the energy transfer in edge plasma turbulences. As an application, the energy cascade analysis of typical edge plasma turbulence is carried out by using the results of a case calculation. Consequently, a physical picture of the energy transfer in a kind of fully developed turbulence is constructed, which confirms that the energy transfer in this turbulent system develops from lower-frequency region to higher-frequency region and from linear growing wave to damping wave.
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Received: 08 September 2021
Revised: 01 December 2021
Accepted manuscript online: 11 December 2021
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PACS:
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52.65.-y
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(Plasma simulation)
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52.35.Ra
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(Plasma turbulence)
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52.35.-g
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(Waves, oscillations, and instabilities in plasmas and intense beams)
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| Fund: Project supported by the National Key Research and Development Program of China (Grant No. 2017YFE0301200), the National Natural Science Foundation of China (Grant Nos. 12075077 and 12175055), and the Science and Technology Project of Sichuan Pprovince, China (Grant No. 2020YJ0464). |
Corresponding Authors:
Yong Shen
E-mail: sheny@swip.ac.cn
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Cite this article:
Yong Shen(沈勇), Yu-Hang Shen(沈煜航), Jia-Qi Dong(董家齐), Kai-Jun Zhao(赵开君), Zhong-Bing Shi(石中兵), and Ji-Quan Li(李继全) A nonlinear wave coupling algorithm and its programing and application in plasma turbulences 2022 Chin. Phys. B 31 065206
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[1] Buzzicotti M, Aluie H, Biferale L, et al. 2018 Phys. Rev. Fluids 3 034802
[2] Harper K L and Nazarenko S V 2016 New J. Phys. 18 085008
[3] Shi Z B, Nagayama Y, Yamaguchi, et al. 2011 Phys. Plasmas 18 102315
[4] Shen Y, Dong J Q and Xu H B 2018 Acta Phys. Sin. 67 195203 (in Chinese)
[5] Xia H and Shats M G 2003 Phys. Rev. Lett. 91 155001
[6] Ritz C P and Powers E J 1986 Physica D 20 320
[7] Ritz C P, Powers E J, Miksad R W, et al. 1988 Phys. Fluids 31 3577
[8] Ritz C P, Powers E J and Bengsten R D 1989 Phys. Fluids B 1 153
[9] Kim J S, Durst R D, Fonck R J, et al. 1996 Phys. Plasmas 3 3998
[10] Kim K I, Powers E J, Ritz C P, et al. 1987 IEEE J. Ocean Eng. OE-12 568
[11] Shen Y H, Li J Y, Li T, et al. 2020 Phys. Scr. 95 055202
[12] Shen Y H, Li J and Li T 2020 J. Phys. Soc. Jpn. 89 044501
[13] Shen Y, Dong J Q, Shi Z B, et al. 2015 Nucl. Fusion Plasma Phys. 35 193 (in Chinese)
[14] Shen Y, Dong J Q, Shi Z B, et al. 2017 Nucl. Fusion Plasma Phys. 37 1 (in Chinese)
[15] Schmid B, Manz P, Ramisch M, et al. 2017 Phys. Rev. Lett. 118 055001
[16] Cziegler I, Hubbard A E, Hughes J W, et al. 2017 Phys. Rev. Lett. 118 105003
[17] Manz P, Ramisch M, Stroth U, et al. 2008 Plasma Phys. Control. Fusion 50 035008
[18] Manz P, Ramisch M and Stroth U 2009 Phys. Rev. Lett. 103 165004
[19] Shen Y, Dong J Q, Shi Z B, et al. 2019 Nucl. Fusion 59 044001
[20] Xu M, Tynan G R, Diamond P H, et al. 2012 Phys. Rev. Lett. 108 245001
[21] Zhao K J, Lan T, Dong J Q, et al. 2006 Phys. Rev. Lett. 96 255004
[22] Hasegawa A and Wakatani M 1987 Phys. Rev. Lett. 59 1581
[23] Hasegawa A and Mimma K 1978 Phys. Fluids 21 87
[24] Jones F L, Ritz C P, Miksad R W, et al. 1988 Exp. Fluids 6 365
[25] Chen W, Cui Z Y, Sun P, et al. 2007 Chin. Phys. 16 3451
[26] Shen Y, Dong J Q, He H D, et al. 2021 Acta Phys. Sin. 70 185201 (in Chinese)
[27] Zhou Y L, Wang Z H, Xu M, et al. 2016 Chin. Phys. B 25 095201
[28] Wu X K, Wang Z H, Li H D, et al. 2020 Chin. Phys. B 29 065201
[29] Zhao K J, Dong J Q, Yan L W, et al. 2007 Phys. Plasmas 14 122301 |
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