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4 - Turbulence analysis, modelling and computing using wavelets

Published online by Cambridge University Press:  27 January 2010

M. Farge
Affiliation:
Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France
N. K. - R. Kevlahan
Affiliation:
Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France
V. Perrier
Affiliation:
Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France
K. Schneider
Affiliation:
Institut für Chemische Technik, Universität Karlsruhe (TH), Kaiserstrasse 12, 76128 Karlsruhe, Germany
J. C. van den Berg
Affiliation:
Agricultural University, Wageningen, The Netherlands
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Summary

Abstract

We have used wavelets to analyse, model and compute turbulent flows. The theory and open questions encountered in turbulence are presented. The wavelet-based techniques that we have developed to study turbulence are explained and the main results are summarized.

Introduction

In this chapter we will summarize the ten years of research we have done to try to better understand, model and compute fully developed turbulent flows using wavelets and wavelet packets. Fully developed turbulence is a highly nonlinear regime (very large Reynolds number tending to infinity) and is distinct from the transition to turbulence (low Reynolds number). We have chosen to present a personal point of view concerning the current state of our understanding of fully developed turbulence. It may not always coincide with the point of view of other researchers in this field because many issues we are addressing in this chapter are still undecided and highly controversial. This paper is a substantially revised and extended version of: Wavelets and Turbulence by Farge, Kevlahan, Perrier and Goirand which appeared in Proceedings of the IEEE, vol. 84, no. 4, April 1996, pp. 639–669.

After more than a century of turbulence study [30], [173], no convincing theoretical explanation has produced a consensus among physicists (for a historical review of various theories of turbulence see [160], [158], [72], [91]). In fact, a large number of ad hoc ‘phenomenological’ models exist that are widely used by fluid mechanicians to interpret experiments and to compute many industrial applications (in aeronautics, combustion, meteorology …) where turbulence plays a role.

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Wavelets in Physics , pp. 117 - 200
Publisher: Cambridge University Press
Print publication year: 1999

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  • Turbulence analysis, modelling and computing using wavelets
    • By M. Farge, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, N. K. - R. Kevlahan, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, V. Perrier, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, K. Schneider, Institut für Chemische Technik, Universität Karlsruhe (TH), Kaiserstrasse 12, 76128 Karlsruhe, Germany
  • Edited by J. C. van den Berg, Agricultural University, Wageningen, The Netherlands
  • Book: Wavelets in Physics
  • Online publication: 27 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511613265.007
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  • Turbulence analysis, modelling and computing using wavelets
    • By M. Farge, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, N. K. - R. Kevlahan, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, V. Perrier, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, K. Schneider, Institut für Chemische Technik, Universität Karlsruhe (TH), Kaiserstrasse 12, 76128 Karlsruhe, Germany
  • Edited by J. C. van den Berg, Agricultural University, Wageningen, The Netherlands
  • Book: Wavelets in Physics
  • Online publication: 27 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511613265.007
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Turbulence analysis, modelling and computing using wavelets
    • By M. Farge, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, N. K. - R. Kevlahan, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, V. Perrier, Laboratoire de Météorologie Dynamique du CNRS, Ecole Normale Supérieure, 24, rue Lhomond, 75231 Paris Cedex 5, France, K. Schneider, Institut für Chemische Technik, Universität Karlsruhe (TH), Kaiserstrasse 12, 76128 Karlsruhe, Germany
  • Edited by J. C. van den Berg, Agricultural University, Wageningen, The Netherlands
  • Book: Wavelets in Physics
  • Online publication: 27 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511613265.007
Available formats
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