
MS6-03 - Mesh and order (h/p) adaptation methods for scale-resolving simulations of turbulent flows
The rise in data-driven techniques and the industrial need for fast and reliable CFD simulations of
realistic turbulent flows has accelerated the quest toward robust numerical methods for scaleresolving
simulations of turbulent flows. A tremendous effort and progress has been observed for
Reynolds-Averaged Navier-Stokes (RANS) modeling and simulation, some involving robust mesh
adaptation techniques (see for example [2]) either using adjoints or feature-based sensors to drive
adaptivity. However, for the complexity of realistic turbulent flows where massively separated
flows might occur, potentially coupled with shock interaction, RANS modeling alone is unlikely
to produce good results. The use of Large Eddy Simulation (LES) models or combinations with
RANS offers a good prospect for overcoming this obstacle, as suggested in [1]. Although
significant modeling issues remain to be addressed here as well, the progress in HPC hardware
makes these scale-resolution techniques more and more realistic. Due to the complexity of the
flows, meshing is a major challenge, which favors adaptive techniques such as mesh (h)
adaptivity ([3,4]) or numerical scheme order p-adaptivity ([5,6]). We think such adaptive
techniques offer great potential but have not yet seen widespread use due to complex geometries,
inadequate error estimation (either in h or in p or in the h-p coupling techniques), high sensitivity
of hybrid models to mesh sizes, etc.
The purpose of this mini-symposium is to discuss the challenges and recent developments on
automatic mesh (h) and p or h-p adaptation methods for LES and hybrid RANS/LES simulations
of complex turbulent flows. We welcome contributors from compressible or incompressible flows
simulations communities, hoping for a fruitful exchange between these disciplines. Mesh
adaptation techniques, error estimation, and turbulence modeling suitable for adapted meshes are
of interest. Possible meshing techniques include AMR and/or unstructured anisotropic mesh
refinement methods, while numerical discretization approaches encompass any spatial resolution
method: finite volumes, discontinuous Galerkin and related techniques or other relevant schemes.