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Multispectral Reduction of Two-Dimensional Turbulence

  • Author / Creator
    Roberts, Malcolm Ian WIlliam
  • Turbulence is a chaotic motion of fluid that can be described by the Navier--Stokes equations or even highly simplified shell models. Under the continuum limit, standard shell models of turbulence are shown to reduce to a common evolution equation that reproduces many predictions of the classical Kolmogorov theory. In the spectral domain, the quadratic advective nonlinearity of the Navier--Stokes equations appears as a convolution, which is often calculated using pseudospectral collocation. An implicit dealiasing method, which removes spurious contributions from wave beating in these convolutions more efficiently than conventional dealiasing techniques, is investigated. Even with efficient dealiasing, the simulation of highly turbulent flow is still a formidable task. Decimation schemes such as spectral reduction replace the many degrees of freedom in a turbulent flow by a limited set of representative quantities. A new method called multispectral reduction is proposed to overcome a significant drawback of spectral reduction: the requirement that all scales be decimated uniformly. Multispectral reduction, which exploits a hierarchy of synchronized spectrally reduced grids, is applied to both shell models and two-dimensional incompressible turbulence.

  • Subjects / Keywords
  • Graduation date
    2011-11
  • Type of Item
    Thesis
  • Degree
    Doctor of Philosophy
  • DOI
    https://doi.org/10.7939/R3W70B
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Doctoral
  • Department
    • Department of Mathematical and Statistical Sciences
  • Supervisor / co-supervisor and their department(s)
    • Bowman, John C. (Mathematical and Statistical Sciences)
  • Examining committee members and their departments
    • Yu, Xinwei (Mathematical and Statistical Sciences)
    • Flynn, Morris (Mechanical Engineering)
    • Heimpel, Moritz (Physics)
    • Swaters, Gordon (Mathematical and Statistical Sciences)
    • Kaneda, Yukio (Nagoya University)