École Normale Supérieure de Paris
Date(s) : 11/06/2019 iCal
0 h 00 min
The key strength of wavelet methods lies in the ability of the wavelet transform to compress information by considering the local regularity of a function. They are particularly well suited for the simulation of inhomogeneous flows presenting highly localized structures, such as flames, shear layers, shock waves, vortices, etc. For this type of problems, the transformed field consists of a large number of non-zero wavelet coefficients only in areas where sharp gradients exist, and very few non-zero coefficients where the solution is smooth.
This makes wavelets excellent candidates for the development of adaptive schemes. Wavelet-based multiresolution approaches have been extensively studied in the literature. However, the use of wavelets for modelling and simulation of turbulent flows, as well as their use in the framework of high-order discontinuous finite-element methods is scarce.
The aim of this workshop is ta bring together research scientists and PhD students working in the field of wavelet-based CFD methods ta get a global view of the state-of-the-art of this type of methods in the different areas of CFD. The following tapies will be covered:
– Error estimation and mesh adaptation
– Shock-detection techniques
– Turbulence modeling and simulation
– Post-processing, data analysis and data compression
The workshop will be organized in 5 invited talks given by leading experts in the field, and 1 poster session.
– Jennifer Ryan (University of East Anglia, UK)
– Siegfried Müller (RWTH Aachen University, Germany)
– Nicholas Kevlahan (McMaster University, Canada)
– Maxime Bassenne (Stanford University, USA)
– Thomas Engels (Ecole Normale Supérieure, France)
– Marta de la Llave Plata (ONERA),
– Kai Schneider (I2M, AMU),
– Marie Farge (ENS)
This event is organized by the ONERA in collaboration with the Aix-Marseille Université and the École Normale Supérieure, in the framework of the European H2020 project SSeMID – Stability and Sensitivity Methods for Industrial Design.
École Normale Supérieure
Salle Froidevaux (E314)
24 rue Lhomond