Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts
Certified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts

From PDEs to certified computational models : this is the motto of CARDAMOM . We aim at providing a robust model development methodology, as well as a quantitative approach to model certication, allowing to assess the robustness of the model w.r.t. each of its components (equations, numerical methods, etc), and to assess the variability of the outputs w.r.t. random variations of the data.

We will achieve this objective working toward a unified set of tools for the engineering analysis of complex  flows involving moving fronts.  Examples of such flows be found in civil, industrial, and aerospace engineering : industrial hazards (explosions), free surface hydraulics (coastal hydrodynamics, floods, etc), energy conversion facilities (gas-vapour, liquid-vapour systems, wave energy conversion, etc.), space-reentry (chemically reacting fronts, ablating walls, rarefied/continuous  flows), wing de anti-icing systems (ice-air flow),  etc.


Simulating, optimising, and controlling these systems in a robust manner is far from being a simple task, especially in a real life. There is still a large number of open scientic challenges. These are  related to the intrinsic nature of these flows necessitating:

  • an approppriate PDE formulation taking into account the physics relevant to the engineering applciations while remaining computationally affordable in an operational context;
  • efficient adaptive discretizations allowing to optimize the computational effort, while providing a sharp and accurate resolution of the physics;
  • a certification step quantifying the uncertainty in engineering oputputs due to all modelling choices, both physical, and mathematical (continuous and discrete)

To develop a robust and accurate model means to be able to quantify and control the effects of the choices made in each of the above steps. The development of robust models taylored to the applications mentione above is the objective of CARDAMOM.

Centre(s) inria
Inria Centre at the University of Bordeaux
In partnership with
Institut Polytechnique de Bordeaux


Team leader

Anne-Laure Gautier

Team assistant