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VKI LS 2008-01, Post-processing of numerical and experimental data, ISBN 978-2-930389-80-X

Post-processing of numerical and experimental data

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Post-processing of numerical and experimental data
February 11-15, 2008, edited by P. Millan & M.L. Riethmuller
Abstract

Recent advances in numerical simulation capability as well as in measurement techniques have enabled the generation of very large amounts of data in the field of Fluid Mechanics. It has therefore become difficult to extract synthetic or phenomenological information from these large quantities of detailed flow data and specific post-processing techniques must be applied to obtain the benefits of these superior tools.

It is the objective of these Lecture Series proceedings to present a survey of advanced processing methods and techniques that allow extracting physical characteristics of flows from sets of data that represent spatial and temporal distributions containing occasionally random aspects.

The notes are organized into four sections. The first one is an introductory course that presents, as a reminder, the different classes of problems encountered in fluid dynamics and put in evidence the needs of experimental and numerical approaches. In the second section, the nature of the data yield by numerical and experimental techniques are analyzed in view of the intricacy of extracting the information required for the modeling of fluid dynamics problems. Some emphasis are given to the very recent progress made in 3D, time dependent PIV techniques and to the processing of the data yielded by this new advanced measurement technique. The different data processing techniques such as spectral analysis, pattern recognition, Proper Orthogonal Decomposition (POD) and wavelet analysis are discussed in the third section. Finally the last section is devoted to the presentation of examples of application of the various post-processing techniques in different domains of fluid dynamics with an emphasis on the analysis of turbulent flow fields.

The proceedings should prove fruitful to both newcomers to post-processing and experienced researchers who will find here a useful update.

Table of contents
  • TROPEA, C. – Technische Universität Darmstadt, Germany
    Introduction to the measurement of turbulence in fluid dynamics
  • VEYNANTE, D. – CNRS & ECOLE CENTRALE PARIS, France
    Survey of signal processing techniques
  • BOUTIER, A. – ONERA, France
    Classification of laser velocimetry techniques
    Optical techniques for velocity measurements
    Particle seeding
    Velocity measurement accuracy in LDV
    Comparison of the data issued from various laser velocimetry techniques: LDV, PIV, DGV
  • TROPEA, C. – Technische Universität Darmstadt, Germany
    Requirements for processing data of random nature in fluid dynamics
    Processing of time-dependent data
  • CORDIER, L. & BERGMANN, M. - LEA, France
    Proper orthogonal decomposition: an overview
    Two typical applications of POD : coherent structures eduction and reduced order modelling
  • SAGAUT, P. – Université Pierre et Marie Curie, France
    Numerical data post-processing : from validation to physical understanding
  • BONNET, J.P. & DELVILLE, J. – LEA, Université de Poitiers, France
    Coherent structures in turbulent flows and numerical simulations approaches
  • DELVILLE, J. & BONNET, J.P. – LEA, Université de Poitiers, France
    Two-point correlation in fluid dynamics : POD, LES and related methods
  • LAMBALLAIS, E. & BONNET, J.P. – LEA, Université de Poitiers, France
    DNS/LES data processing and its relation with experiments
  • SCARANO, F. – Delft University of Technology, The Netherlands
    Three-dimensional velocity measurements by tomographic PIV
    Three-dimensional velocity measurements by tomographic PIV. Part II – Application to turbulent shear flows
  • SCARANO, F. & VAN OUDHEUSDEN, B.W. – Delft University of Technology, The Netherlands
    Post-processing of time-resolved PIV data unsteady aerodynamic forces and planar pressure imaging
  • BILKA, M. & RAMBAUD, P. – von Karman Institute for Fluid Dynamics, Belgium
    Application and limitation of wavelet transform and POD to vertical flows

 

 

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