Statistical Theories and Computational Approaches to Turbulence

Modern Perspectives and Applications to Global-Scale Flows

  • Yukio Kaneda
  • Toshiyuki Gotoh
Conference proceedings

Table of contents

  1. Front Matter
    Pages II-IX
  2. Application of the Statistical Theory to Stratified and Rotating Turbulence

  3. Wall-Bounded Flows

    1. Front Matter
      Pages 103-103
    2. Javier Jiménez, Juan C. del Álamo
      Pages 105-112
    3. Yasuhiko Sakai, Haruki Suzuki, Hiroyuki Tsunoda
      Pages 113-126
  4. Statistical Theory of Turbulence and LES Modeling

    1. Front Matter
      Pages 175-175
    2. Toshiyuki Gotoh, Isao Kakui, Yukio Kaneda
      Pages 189-202
    3. Kyo Yoshida, Takashi Ishihara, Daishi Fujita, Tomomichi Yamahira, Yukio Kaneda
      Pages 203-218
    4. Kyo Yoshida, Takashi Ishihara, Yukio Kaneda
      Pages 219-228
    5. Kazuki Hayashi, Takashi Ishihara, Yukio Kaneda
      Pages 239-247
    6. Ken-ichi Kajita, Toshiyuki Gotoh
      Pages 260-268
  5. Geophysical Turbulence

    1. Front Matter
      Pages 275-275
    2. Greg Holloway
      Pages 277-288
    3. George F. Carnevale, Marco Briscolini, Paolo Orlandi, Rudolf C. Kloosterziel
      Pages 289-316
    4. Shigeo Yoden, Keiichi Ishioka, Michio Yamada, Yoshi-Yuki Hayashi
      Pages 317-326
    5. Takahiro Iwayama, Theodore G. Shepherd, Takeshi Watanabe
      Pages 341-349
  6. Panel Sessions

    1. Front Matter
      Pages 361-361

About these proceedings


This volume contains the papers presented at the workshop on Statistical The­ ories and Computational Approaches to Turbulence: Modern Perspectives and Applications to Global-Scale Flows, held October 10-13, 2001, at Nagoya Uni­ versity, Nagoya, Japan. Because of recent developments in computational capabilities, the compu­ tational approach is showing the potential to resolve a much wider range of length and time scales in turbulent physical systems. Nevertheless, even with the largest supercomputers of the foreseeable future, development of adequate modeling techniques for at least some scales of motion will be necessary for practical computations of important problems such as weather forecasting and the prediction and control of global pollution. The more powerful the available machines become, the more demand there will be for precise prediction of the systems. This means that more precise and reliable knowledge of the underlying dynamics will become important, and that more efficient and precise numerical methods best adapted to the new generation of computers will be necessary. The understanding of the nature of unresolved scales then will playa key role in the modeling of turbulent motion. The challenge to turbulence theory here is to elucidate the physics or dynamics of those scales, in particular their sta­ tistical aspects, and thereby develop models on sound bases to reduce modeling ambiguity. The challenge to the computational method is to develop efficient algorithms suitable for the problems, the machines, and the developed models.


Dissipation Statistical theory of turbulence computational approaches to turbulence computer dynamics flow geophysical turbulence global scale flows mixing turbulence turbulence modeling

Editors and affiliations

  • Yukio Kaneda
    • 1
  • Toshiyuki Gotoh
    • 2
  1. 1.Department of Computational Science and Engineering, Graduate School of EngineeringNagoya UniversityChikusa-ku, NagoyaJapan
  2. 2.Department of System EngineeringNagoya Institute of TechnologyShowa-ku, NagoyaJapan

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