Projects

Main projects

  • Ice modeling: givrage d’aile, glaciers
  • Methods: Thermal hydraulic, Layerwise models, Congested models, Embedded meshes

  • Natural hazard: plop
  • Methods: Dispersive model, High order scheme, Boundary conditions, Breaking model

  • Large scale geophysics: inondation, écoulement sur la sphère
  • Methods: High order scheme, PDE on Manifolds, Asymptotic preserving scheme, Adaptive mesh

  • Astrophysics: plop
  • Methods: High order scheme, Structure preserving, Adaptive mesh

Associated Teams

  • LARME (2021 – ) with Rise (Göteborg, Sweden, Sweden)
  • LARME aims improving numerical methods for the simulation of renewable marine energy at large time and space scale. The vertical integrated models as well as the potential flow models are compared though the many scientific locks of this application : multi-dimensional simulation, water wave dynamics, fluid/structure interactions, high-performance computing, benchmarking on real data.

  • ANEMONE (2020 – ) with Duke University (North Carolina, USA)
  • ANEMONE aims improving high order (second or more) embedded and immersed boundary methods to describe moving interfaces as well as moving boundary conditions on unstructured grids. The main focus of this associated team are techniques based on ideas similar to the shifted boundary method, developed within the HAMSTER associated team. More information on the team’s web page.

  • HAMSTER (2017-2019) with Duke University (North Carolina, USA)
  • HAMSTER has focused on numerical methods allowing to improve the capturing of complex moving fronts in fluid flows.  The team has essentially focused on adaptive unstructured mesh finite element-type method. The main work done within HAMSTER has led to improvement in advanced hybrid methods combining high order, adaptive, monotone capturing techniques, developed in an Eulerian or ALE setting, with immersed and embedded bondary methods, as well as with fitting techniques based on some constrained re-meshing or fully Lagrangian approach. More information on the team’s web page.

DEFIs Inria

  • SURF (2018-) with Inria teams AIRSEA, ANGE, FLUMINANCE, LEMON, DEFI, MINGUS
  • SURF aims at combining the expertise of several Inria teams to mutually enrich the different wave and ocean models they develop, and in particular to propose a quantification and representation of the uncertainty associated with the different choices and approximations made. These questions relating to oceanography, ecology and geophysics raise major scientific obstacles with a strong socio-economic impact.

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