摘要
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.
作者
Yong Shen
Yu-Hang Shen
Jia-Qi Dong
Kai-Jun Zhao
Zhong-Bing Shi
Ji-Quan Li
沈勇;沈煜航;董家齐;赵开君;石中兵;李继全(Southwestern Institute of Physics,Chengdu 610041,China;School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;Institute for Fusion Theory and Simulation,Zhejiang University,Hangzhou 310013,China;College of Nuclear Science and Engineer,East China University of Technology,Nanchang 330013,China)
基金
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)
the Science and Technology Project of Sichuan Pprovince,China(Grant No.2020YJ0464)。