PhD defense: Romain DUPUIS – “Surrogate Models Coupled with Machine Learning to Approximate Complex Physical Phenomena Involving Aerodynamic and Aerothermal Simulations.”
Monday 4 February 2019 at 14h30
Phd Thesis CERFACS, salle de conférence JC André - Toulouse, France
Numerical simulations provide a key element in aircraft design process, complementing physical tests and flight tests. They could take advantage of innovative methods, such as artificial intelligence technologies spreading in aviation. Simulating the flight mission for various disciplines pose important problems due to significant computational cost coupled to varying operating conditions. Moreover, complex physical phenomena can occur. For instance, the aerodynamic field on the wing takes different shapes and can encounter shocks, while aerothermal simulations around nacelle and pylon are sensitive to the interaction between engine flows and external flows. Surrogate models are used to substitute expensive high-fidelity simulations by mathematical approximations in order to reduce overall computation cost and to provide a data-driven approach.
Maria Vitoria SALVETTI Professor, Università di Pisa Referee
Christophe CORRE Professor, Ecole Centrale de Lyon Referee
Angelo IOLLO Professor, Université de Bordeaux Member
Piotr BREITKOPF Research Engineer , Université Technologie Compiègne Member
Pierre SAGAUT Professor, Aix Marseille Université Co advisor
Jean-Christophe JOUHAUD Senior researcher, CERFACS Toulouse Advisor
Anne GAZAIX Project leader, IRT Saint Exupéry Invited member
Clément LOURIOU Engineer, Airbus Invited member
