Renormalization of viscosity in wavelet-based model of turbulence

被引:4
|
作者
Altaisky, M., V [1 ]
Hnatich, M. [2 ,3 ,4 ]
Kaputkina, N. E. [5 ]
机构
[1] RAS, Space Res Inst, Profsoyuznaya 84-32, Moscow 117997, Russia
[2] PJ Safarik Univ Kosice, Pk Angelinum 9, Kosice 04154, Slovakia
[3] Inst Expt Phys SAS, Watsonova 47, Kosice 04001, Slovakia
[4] Joint Inst Nucl Res, Joliot Curie 6, Dubna 141980, Russia
[5] Natl Univ Sci & Technol MISIS, Leninsky Ave 4, Moscow 119049, Russia
关键词
LOCAL-STRUCTURE; REPRESENTATION; ENERGY; FLUID; TRANSFORMS; CASCADE; SPECTRA;
D O I
10.1103/PhysRevE.98.033116
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
Statistical theory of turbulence in viscid incompressible fluid, described by the Navier-Stokes equation driven by random force, is reformulated in terms of scale-dependent fields u(a)(x), defined as wavelet-coefficients of the velocity field u taken at point x with the resolution a. Applying quantum field theory approach of stochastic hydrodynamics to the generating functional of random fields u(a)(x), we have shown the velocity field correlators < u(a1)(x(1)) ... u(an)(x(n))> to be finite by construction for the random stirring force acting at prescribed large scale L. The study is performed in d = 3 dimension. Since there are no divergences, regularization is not required, and the renormalization group invariance becomes merely a symmetry that relates velocity fluctuations of different scales in terms of the Kolmogorov-Richardson picture of turbulence development. The integration over the scale arguments is performed from the external scale L down to the observation scale A, which lies in Kolmogorov range 1 << A << L. Our oversimplified model is full dissipative: interaction between scales is provided only locally by the gradient vertex (u del)u, neglecting any effects or parity violation that might be responsible for energy backscatter. The corrections to viscosity and the pair velocity correlator are calculated in one-loop approximation. This gives the dependence of turbulent viscosity on observation scale and describes the scale dependence of the velocity field correlations.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Network traffic prediction by a wavelet-based combined model
    Sun Han-Lin
    Jin Yue-Hui
    Cui Yi-Dong
    Cheng, Shi-Duan
    CHINESE PHYSICS B, 2009, 18 (11) : 4760 - 4768
  • [32] AMSS model and wavelet-based affine invariant method
    Li, M
    Feng, XC
    Zhang, H
    Wavelet Analysis and Active Media Technology Vols 1-3, 2005, : 1038 - 1044
  • [33] Image registration using wavelet-based motion model
    Wu, YT
    Kanade, T
    Li, CC
    Cohn, J
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2000, 38 (02) : 129 - 152
  • [34] Wavelet-based ARMA model Application in Power Network
    Wei, Wei
    Hao, Ma
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 1509 - +
  • [35] Wavelet-based model for stochastic analysis of beam structures
    Mei, H
    Agrawal, OP
    Pai, SS
    AIAA JOURNAL, 1998, 36 (03) : 465 - 470
  • [36] A Wavelet-Based Model for Determining Asphaltene Onset Pressure
    Heidary, Mohammad
    Abad, Kazem Fouladi Hossein
    NATURAL RESOURCES RESEARCH, 2021, 30 (01) : 741 - 752
  • [37] Novel snake model with wavelet-based energy minimization
    Ma, B
    Zhang, TW
    PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 3, 2002, : 479 - 484
  • [38] Wavelet-based model reduction of distributed parameter systems
    Mahadevan, N
    Hoo, KA
    CHEMICAL ENGINEERING SCIENCE, 2000, 55 (19) : 4271 - 4290
  • [39] Renormalization of the shell model of turbulence
    Verma, Mahendra K.
    Alam, Shadab
    PHYSICAL REVIEW E, 2023, 107 (06)
  • [40] Wavelet-based adaptive unsteady Reynolds-averaged turbulence modelling of external flows
    De Stefano, Giuliano
    Vasilyev, Oleg V.
    Brown-Dymkoski, Eric
    JOURNAL OF FLUID MECHANICS, 2018, 837 : 765 - 787