IAS Seminar "Towards data-driven computational fluid dynamics applications"

Risk assessment is fundamental in our current societies to ensure public and industrial safety is effectively managed at operational level. There is a wide range of risks related to environment and climate change (the occurrence of extreme events will drastically increase with climate change), but also to industrial plants (which can be subject to compartment fires, explosions or pollutant dispersions). Still, the risk analysis tools that are available at operational level are often limited to basic parameterizations of the physics, thus reducing their predictive capacity. There is therefore a need to develop at research level advanced analysis tools to better quantify risk based on a new set of tools, including computational fluid dynamics (CFD) and data assimilation (DA) methods.

This is part of the target of the MODEST (Modelisation for Environment and SafeTy) challenge at CERFACS, a private research institute specialized in high performance computing, code coupling and data assimilation for various multiphysics applications, ranging from climate and environment to combustion. In particular, expertise has been developed at CERFACS on building data-driven systems for environmental risk predictions (for instance related to flood, wildfire behavior and atmospheric emission forecasting) and high-fidelity large-eddy simulations for multiphysics applications (e.g. gas turbine, rocket launcher, aircraft cirrus-contrail formation). In this talk, I will provide an overview of DA and CFD methods and highlight how these methods could be combined together for applications in civil security and industrial safety.

Anyone interested is cordially invited to participate in this seminar.