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 this Lecture Series to present a survey of advanced processing methods and techniques that allow extracting physical characteristics of flows from sets of data that represent spatial or temporal distributions containing occasionally random aspects.

The Lecture Series is organized into four sections.

The first one will be an introductory course that will present, as a reminder, the different classes of problems encountered in fluid dynamics and will 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 will be analyzed in view of the intricacy of extracting the information required for the modeling of fluid dynamics problems.

The different data processing techniques such as spectral analysis, pattern recognition, Proper Orthogonal Decomposition (POD) and wavelet analysis will be discussed in the third section.

Finally the last section will be 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 Lecture Series should prove fruitful to both newcomers to post-processing and experienced researchers who will find here a useful update.

08.45 Registration

09.15 Welcome, introductory remarks

09.30 Structure and objectives of the Lecture Series

Dr. P. Millan, ONERA Toulouse, France

09.55 Introduction to the measurement of turbulence in fluid dynamics

Prof. Dr.-Ing. C. Tropea, TU Darmstadt,Germany

11.15 Survey of signal processing techniques

Prof. D. Veynante, Ecole Centrale Paris, France

14.00 Optical techniques for velocity measurements and nature of data produced

Dr. A. Boutier, ONERA Châtillon, France

15.45 Optical techniques for velocity measurements and nature of data produced (cntd)

Dr. A. Boutier

17.00 Welcome drink

Tuesday 23 April 2002

09.00 Turbulent Flows and Numerical simulation approaches

Prof. J.P. Bonnet, LEA, Univ. Poitiers, France

10.45 Processing of data issued from numerical simulations

Prof. J.P. Bonnet

14.00 Data processing by Wavelet Transforms

Prof. D. Veynante

15.45 Processing of unsteady/turbulent data issued from pulsed planar velocimetry

Assist. Prof. F. Scarano, TU Delft,The Netherlands

Wednesday 24 April 2002

09.00 Requirements for processing data of random nature in fluid dynamics

Prof. Dr.-Ing. C. Tropea

10.45 Processing of time-dependent data

Prof. Dr.-Ing. C. Tropea

Thursday 25 April 2002

09.00 Introduction to Proper Orthogonal Decomposition

Prof. L. Cordier, ENSEM LEMTA, France

10.45 Application of Proper Orthogonal Decomposition

Prof. L. Cordier

14.00 Application of Wavelet Transform in vortical flows

Mr. C. Schram, von Karman Institute

15.45 Identification of coherent structures in turbulent flows based on pattern recognition

Assist. Prof. F. Scarano

Friday 26 April 2002

09.00 Examples of application of POD in Fluid Dynamics

Prof. J.P. Bonnet

10.45 Round table discussion

14.00 Adjourn