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Post-processing of numerical and experimental data

Applicant Andre Berthe
Subject Area Fluid Mechanics
Term Funded in 2008
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 74831293
 
The latest advances of experimental techniques, such as in 3D PIV, yield a considerable amount of detailed data. It is also the case of numerical simulations, as 3D unsteady computations are more and more common. It is therefore necessary to make use of sophisticated post-processing techniques that will allow extracting advances information from the data set. The Lecture Series will present the needs of such tools and will introduce the participants to techniques such as conditional sampling, Spectrum and Wavelet analysis, POD and many others. Adequate techniques to identify coherent structures will be presented in depth and examples of applications will be analysed.
DFG Programme Research Grants
 
 

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