21) Title: Computational Machine-Learning based-methods for modeling fluid and solid dynamical problems

Organizers: Rajaa El Akoury, IMFT, INP, Toulouse, Elisabeth Lacazedieu, LAMIH, UPHF, INSA HdF, Valenciennes, Yannick Hoarau, ICUBE, UNISTRA, Strasbourg

Email: Elisabeth.Lacazedieu@uphf.fr

Recent improvements of solvers involved in computational mechanics lead to new capabilities for modeling heterogeneous systems. Interfacial coupling effects can be captured by using advanced multi-scale multi-phase multi-physics computational strategies. However, there are still challenges remaining in order to increase accuracy and reduce computational time when addressing real cases.
As far as fluid solid interaction is concerned, the session proposes to highlight the following topics: physics-informed modeling, data-driven modeling, hydrid ANN- based modeling, model reduction, homogenization, turbulence in single- and two- phase flows, stability analysis, heat transfer, particle dispersion.

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