
8/6/22 16:30 - 18:30 Data-driven numerical and reduced order modeling of flows III Minisymposium organized by Nikolaus Adams and Jörg Schumacher |
Room: Oslo 2 (GF) MS19C Chair: Nikolaus Adams |
Active flow control on airfoils through deep reinforcement learning
Pol Suarez, Pau Varela, Juan Echevarría, Jean Rabault, Maxence Deferrez, Bernat Font, Luis Miguel García-Cuevas, Arnau Miró, Andrés Tiseira, Oriol Lehmkhul and Ricardo Vinuesa Data-Driven Surrogate Modelling of Aerodynamic Forces on the Superstructure of Container Vessels Rupert Pache and Thomas Rung Deep-learning based aeroelastic modeling for transient flows and non-linear dynamics Avicene Chaarane, Maxime Casanova, Taraneh Sayadi and Jean-Camille Chassaing Surrogate modeling of unsteady aerodynamic loads acting on a plunging airfoil Rahul Sundar, Virendra Kumar, Dipanjan Majumdar, Chhotelal Shah and Sunetra Sarkar Wind flow field predictions over high-rise buildings using machine learning framework Onkar Jadhav, Anina Glumac and Stephane Bordas Efficient data-driven control of fluids using autonomous surrogate models Sebastian Peitz and Katharina Bieker |