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Advanced post-processing of experimental and numerical data - hardcover

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Advanced post-processing of experimental and numerical data, ISBN-13 978-2-87516-061-4, VKI LS 2014-01

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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 covers 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 also depicts 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 are 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 is 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 is 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. Finally, a lecture is dedicated to practical issues that arise when dealing with very large simulations (with mesh sizes reaching several billions of dofs).

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.

Part of the research leading to these proceedings has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) in the framework of the project AFDAR (grant agreement n° 265695)

  • KÄHLER, C.J. & BUCHMANN, N.A. – Bundeswehr University Munich, Germany
    Fundamentals in turbulence, basic tools and basics of sampling
  • CORDIER, L. & TISSOT, G. - Institut Pprime, CNRS, Université de Poitiers, France
    Model reduction, POD and data assimilation
  • FOUCAUT, J.-M. – Laboratoire de Mécanique de Lille, Ecole Centrale de Lille, France
    Uncertainty and spectral data analysis of turbulence
  • PASTUR, L.R. – Université Paris Sud 11, LIMSI-CNRS, France
    Eulerian and Lagrangian coherent structures identification in fluid flows
  • VAN OUDHEUSDEN, B.W.. – Delft University of Technology, The Netherlands
    Reconstruction of pressure from PIV data
  • SCHMID, P.J. – Imperial College London, United Kingdom
    Dynamic mode decomposition
  • CAMUSSI, R. & DI MARCO, A. – Università Roma Tre, Italy
    Wall pressure fluctuation statistics : measurements and numerical simulations
  • CAMUSSI, R. – Università Roma Tre, Italy
    Wavelet analysis and applications in aeroacoustics
  • JORDAN, P. – Institut Pprime, CNRS, Université de Poitiers, France
    Coherent structures and jet aerocoustics
  • SCARANO, F. – Delft University of Technology, The Netherlands
    Post-processing of time-resolved tomographic PIV
  • BROUCKAERT, J.-F. – von Karman Institute for Fluid Dynamics, Belgium
    Phase-locked averaging techniques for turbomachinery applications
  • CHATELLIER, L. – Institut Pprime, CNRS, Université de Poitiers, France
    Processing correlated datasets
  • DAVID, L. - Institut Pprime, CNRS, Université de Poitiers, France
    Load evaluation from optical measurements
  • MOUREAU, V. ; LARTIGUE, G. ; GUEDOT, L. ; MAHEU, N. ; DOMINGO, P. – CORIA, CNRS, Normandie Université, France
    Analysis of large amount of numerical data

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