The ERC AROMA-CFD project: Computational Methods in Fluid Dynamics with Applications in Biomedicine, Environment and Industry

September 5, 2020 8:30 - 10:00


ERC AROMA-CFD is a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with special emphasis on mathematical modelling and an extensive exploitation of computational science and engineering. We are tackling fascinating problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number while guaranteeing the flow stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework is going to be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, these advanced developments are being used also in multiphysics, such as fluid-structure interaction problems, and more general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The framework developed within AROMA-CFD provides attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, environmental sciences, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices), to guarantee real time computing and visualization. The workshop will highlight scientific results but also technology transfer opportunities by massive development of open source software.

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