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Statistical Theories and Computational Approaches to Turbulence

Modern Perspectives and Applications to Global-Scale Flows

  • Conference proceedings
  • © 2003

Overview

Editors:
  1. Yukio Kaneda

    1. Department of Computational Science and Engineering, Graduate School of Engineering, Nagoya University, Chikusa-ku, Nagoya, Japan

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  2. Toshiyuki Gotoh

    1. Department of System Engineering, Nagoya Institute of Technology, Showa-ku, Nagoya, Japan

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    You can also search for this editor in PubMed   Google Scholar

  • Offers a general view on geophysical turbulence
  • Provides a collection and appraisal of computational methods and models useful in both global-scale geophysical flows and complex engineering flows

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Table of contents (27 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. Computational Challenges for Global Dynamics of Fully Developed Turbulence in the Context of Geophysical Flows

      • Annick Pouquet, Duane Rosenberg, John Clyne
      Pages 3-14

    3. Structural and Statistical Aspects of Stably Stratified Turbulence

      • Jackson R. Herring, Yoshifumi Kimura
      Pages 15-24

    4. Dynamics of Rotating Stably Stratified Flows

      • Claude Cambon
      Pages 25-59

    5. An Introduction to Mixing in a Stably Stratified Fluid

      • Chantal Staquet
      Pages 60-79

    6. Linear Processes in Stratified Turbulence with Rotation or Mean Shear

      • Hideshi Hanazaki
      Pages 80-101

  3. Wall-Bounded Flows

    1. Front Matter

      Pages 103-103
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    2. Very Large Anisotropic Scales in Turbulent Wall-Bounded Flows

      • Javier Jiménez, Juan C. del Álamo
      Pages 105-112

    3. Turbulent Plume Diffusion in a Pipe Flow by the PDF Method

      • Yasuhiko Sakai, Haruki Suzuki, Hiroyuki Tsunoda
      Pages 113-126

    4. A Hybrid RANS/LES Calculation of Turbulent Channel Flow

      • Fujihiro Hamba
      Pages 127-137

    5. Anisotropy versus Universality in Shear Flow Turbulence

      • Yoshiyuki Tsuji
      Pages 138-158

    6. LES Study on the Very Large-Scale Structures of Wall-Bounded Turbulence and an Effect of Thermal Stratification

      • Makoto Tsubokura, Tetsuro Tamura
      Pages 159-173

  4. Statistical Theory of Turbulence and LES Modeling

    1. Front Matter

      Pages 175-175
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    2. High Resolution DNS of Incompressible Homogeneous Forced Turbulence —Time Dependence of the Statistics—

      • Takashi Ishihara, Yukio Kaneda
      Pages 177-188

    3. Subgrid Models for Two-Dimensional Turbulence based on Lagrangian Spectral Theory

      • Toshiyuki Gotoh, Isao Kakui, Yukio Kaneda
      Pages 189-202

    4. LES Modelings based on the Lagrangian Renormalized Approximation

      • Kyo Yoshida, Takashi Ishihara, Daishi Fujita, Tomomichi Yamahira, Yukio Kaneda
      Pages 203-218

    5. LES of Stably Stratified Turbulence

      • Kyo Yoshida, Takashi Ishihara, Yukio Kaneda
      Pages 219-228

    6. The Eulerian Time Correlation Function in Homogeneous Isotropic Turbulence

      • Robert Rubinstein, Guo-Wei He
      Pages 229-238

    7. Predictability of 3D Isotropic Turbulence —Effect of Data Assimilation—

      • Kazuki Hayashi, Takashi Ishihara, Yukio Kaneda
      Pages 239-247
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Computational Science and Engineering, Graduate School of Engineering, Nagoya University, Chikusa-ku, Nagoya, Japan

    Yukio Kaneda

  • Department of System Engineering, Nagoya Institute of Technology, Showa-ku, Nagoya, Japan

    Toshiyuki Gotoh

Bibliographic Information

  • Book Title: Statistical Theories and Computational Approaches to Turbulence

  • Book Subtitle: Modern Perspectives and Applications to Global-Scale Flows

  • Editors: Yukio Kaneda, Toshiyuki Gotoh

  • DOI: https://doi.org/10.1007/978-4-431-67002-5

  • Publisher: Springer Tokyo

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Japan 2003

  • Softcover ISBN: 978-4-431-67004-9Published: 23 August 2014

  • eBook ISBN: 978-4-431-67002-5Published: 09 March 2013

  • Edition Number: 1

  • Number of Pages: IX, 409

  • Number of Illustrations: 78 b/w illustrations

  • Topics: Engineering Fluid Dynamics

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