von Karman Institute Lecture Series and Events

 

 

This course was organized successively in 2002, 2003 and 2008 and always proved to be very successful. Since the last edition of this Lecture Series, major scientific and technological achievements have made their way in the experimental and numerical fields. It is therefore quite opportune to update and repeat this course according to these evolutions.
Recent advances in numerical simulation capabilities 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 and discuss 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 Lecture Series is organized in four days, and will cover fundamental aspects of turbulence analysis including sampling aspects, spectral analysis, the processing of correlated datasets and the extraction of coherent structures, with a specific emphasis on the analysis of massive datasets such as generated by time-resolved LES- or DNS-like simulations and advanced volume experimental techniques, e.g. tomographic PIV. The course will also depict the most modern implementations of techniques having already proved their usefulness and efficiency, such as Proper Orthogonal Decomposition, wavelet analysis, Linear Stochastic Estimation, and Dynamic Mode Decomposition. As a contribution from the European project AFDAR dedicated to advanced PIV developments and analysis, lectures will be specifically dedicated to the post-processing of time-resolved tomographic PIV and to the reconstruction of pressure fields from PIV datasets, opening new perspectives in fields such as aeroacoustics. In the same field, the mechanisms associating coherent structure dynamics with noise production will be explored by means of dedicated developments of the Proper Orthogonal Decomposition technique. In the important field of turbomachinery (and generally for applications showing some degree of periodicity), a lecture will be dedicated to the detailed analysis of uncertainties associated with phase-locked averaging, with the aim of permitting quantitative cross-validation of experimental and numerical data. A lecture will be dedicated to practical issues that arise when dealing with very large simulations (with mesh sizes reaching 1 billion of dofs). Finally, recent algorithmic and technological developments permitting to visualize large 3D datasets will be presented as well.

Some developments and results presented in this Lecture Series have been obtained within the framework of the EC-funded FP7 project AFDAR (Grant Agreement no 265695), which support is hereby gratefully acknowledged

The Directors of this lecture series are Prof. L. David, Institut P', CNRS - Université de Poitiers, and Prof. C. Schram, von Karman Institute.

TIMETABLE

November 4, 2013

• 9:00 Welcome
• 9:45 Fundamentals in turbulence, basic tools and basics of sampling
  C. Kaehler, Universität der Bundeswehr München, Germany
• 10:15 Coffee break 10:45 POD and ROM (variational approach)
  L. Cordier, CNRS, Institut PPRIME, France
• 12:00 Lunch
• 14:00 Uncertainty and spectral data analysis of turbulence
  J. M Foucaut, Laboratoire de Mécanique de Lille, Ecole Centrale de Lille, France
• 15:15 Coffee break
• 15:45 Extraction of coherent structures
  L. Pastur, LIMSI, Université Paris Sud, France
• 17:00 Reception

November 5, 2013

• 9:00 Reconstruction of pressure from PIV data
  B. Van Oudheusden, Technische Universiteit Delft, The Netherlands
• 10:15 Coffee break
• 10:45 Dynamic Mode Decomposition
  P. Schmid, Imperial College London, UK
• 12:00 Lunch
• 14:00 Measurement of wall-pressure fluctuations and statistics
  R. Camussi, Universita Roma 3, Italy
• 15:15 Coffee break
• 15:45 Wavelet analysis and applications in aeroacoustics
  R. Camussi

November 6, 2013

• 9: 00 Application of POD to coherent structure eduction and aeroacoustics
  P. Jordan, CNRS, Institut Pprime, France
• 10:15 Coffee break 10:45 Post-processing of time-resolved, tomographic PIV
  F. Scarano, Technische Universiteit Delft, The Netherlands
• 12:00 Lunch
• 14:00 Visit of the VKI laboratories
• 15:15 Coffee break
• 15:45 Advanced 3D Flow Visualization
  H.C. Hege, TU Berlin, Germany

November 7, 2013

• 9:00 Phase-locked averaging for turbomachinery applications
  J-F. Brouckaert, von Karman Institute for Fluid Dynamics, Belgium
• 10:15 Coffee break
• 10:45 Processing correlated datasets
  L. Chatellier, Institut Pprime, Université de Poitiers, France
• 12:00 Lunch
• 14:00 Load evaluation from optical measurements
  L. David, Institut Pprime, Université de Poitiers, France
• 15:15 Coffee break
• 15:45 Analysis of large amount of numerical data
  V. Moureau, CORIA, CNRS, France
• 17:00 End of the Lecture Series

FEE

Type 1: Permanents residents of NATO countries funding VKI: Belgium, Czech Republic, France, Germany, Hungary, Iceland, Italy, Luxemburg, Norway, Portugal, Spain and Turkey
Type 2: Permanents residents of NATO countries not funding VKI or NATO partners countries
Type 3: Permanents residents of non -NATO countries

For the PhD candidate and undergraduate student: The request to be considered for an award must accompany the application to attend the Lecture Series, and the applicant must provide a recommendation letter from his or her professor; if not done so, the request will not be taken into consideration. All possible alternative sources of funding should be investigated before aid is requested under this scheme, so that those most in need will benefit.

REDUCTION

-50% for the 3^rd & 4^th participant from the same company.

METHOD OF PAYMENT

Payment 2 weeks prior to the beginning of the course (name and course title clearly indicated) by bank transfer to our account IBAN BE57 2100 3153 3035 , SWIFT BIC GEBABEBB

No Location Specified