Summary of some Projects
Riemann Solvers and Eulerian schemes
Goals: revamp Lagrangian Riemann solvers to get Godunov Finite Volume schemes
and solve 3D hypersonic flows on unstructured meshes, implicit, real EOS, Navier-Stokes
Collaborators: P.-H. Maire (CEA-Cesta), A. Chan (private), A. Del Grosso (Postdoc),
W. Barsukow (Univ. Bordeaux, CNRS), V. Delmas (PhD)
AMR and High Order schemes
Goals: coupling adaptive mesh refinement with high-order Finite Volume schemes under MOOD limiting
Collaborators: M. Semplice (Univ. Como, It), R. Turpault (IMB, Bordeaux)
LBM and MOOD
Goals: coupling advanced LBM with Finite volume add-on and under MOOD limiting
Collaborators: K. Kozhanova and P. Boivin (Univ. Marseille)
a posteriori MOOD limiting
Goals: develop a posteriori MOOD paradigm as limiting procedure for different schemes: FV, RD, SPH, DG, etc.
Collaborators: S. Clain (Univ. do Minho, Pt), M. Dumbser (Univ. Trento, It), W. Boscheri (Univ. Ferrara, It), X. Nogueira (Univ A Coruna, Sp), R. Turpault (IMB, Fr), R. Abgrall (Univ. Zürich, Switz.)
Kinetic schemes - AP schemes
Goals: develop new and efficient kinetic schemes to solve kinetic types of models of PDEs, develop Asymptotic and Structure preserving schemes
Collaborators: G. Dimarco (Univ. Ferrara, It), L. Mieussens (Univ. Bordeaux, Fr), J. Narski (Univ Toulouse, Dr), M.-H. Vignal (Univ Toulouse, Fr)
Adaptive Discontinuous Galerkin scheme
Goals: Develop advanced DG scheme using the link FV<->DG and a posteriori limiting strategy.
Collaborators: F. Vilar (Univ. Montpellier), W. Boscheri (CNRS, Univ. Chambéry), M. Dumbser (Univ. Trento),
G. Gassner (Univ. Köln)
ALE and Lagrangian schemes
Goals: improve staggered and cell-centered Lagrangian schemes to become engines for indirect ALE codes (remap, rezone, remesh)
Collaborators: M. Shashkov and B. Wendroff (LANL, USA), R.Liska, M. Kucharik and P. Vachal (CVUT Prague, CZ), P.-H. Maire (CEA-Cesta, Fr), W. Boscheri and I. Peshkov (Univ Trento, It)
Using Neural Network for CFD
Goals: can we use NNs for CFD computation as an efficient tool?
Collaborators: A. Bourriaud, R. Turpault (Univ. Bordeaux, Fr), S. Clain (Univ Do Minho, Pt)