Ecole Normale Supérieure de Paris.
Amphithéâtre Claude Froidevaux - 24 rue Lhomond, 75005 Paris
This event is organized by ONERA in collaboration with Aix-Marseille Université (AMU) and Ecole Normale Supérieure (ENS) de Paris, in the framework of the European H2020 project SSeMID – Stability and Sensitivity Methods for Industrial Design (Call: H2020-MSCA-ITN-2015).
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 therefore to bring together research scientists and PhD students working in the field of wavelet-based CFD methods to get a global view of the state of the art of this type of methods in the different areas of CFD. The following topics 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.
If you are interested to attend this workshop, please proceed to the registration using the online form
If you are also interested in participating in the poster session, please suggest a title and a summary using the registration form.
- Jennifer Ryan (University of East Anglia, UK)
- Siegfried Müller (RWTH Aachen University, Germany)
- Nicholas Kevlahan (McMaster University, Canada)
- Maxime Bassenne (Stanford University, US)
- Thomas Engels (Ecole Normale Supérieure de Paris)
Marta de la Llave Plata (ONERA), Kai Schneider (AMU), Marie Farge (ENS)