AI in Fluid Mechanics

Venue:     Vestas Wind Systems A/S, Hedeager 42, 8220 Aarhus N

Date:        5 October 2022

Artificial Intelligence is gaining popularity in many fluid mechanics related applications. For many fluid mechanical applications it’s common to have huge amounts of data from both experiments or simulations. Using machine learning techniques we can process and extract useful patterns in complex data in order to simplify problems are create reduced order models. This seminar focuses on both recent advances and new applications.


09:30 Registration  
10:00 Welcome Anders Christian Olesen, Vestas Wind Systems A/S, Denmark
10:15 Data-driven Fluid Mechanics and Machine Learning Mahdi Abkar, Department of Mechanical and Production Engineering, Section of Fluid & Energy, Aarhus University
11:15 Coffee break  
11:30 3D deep-learning for faster product development and CFD frontloading Pierre Baque, CEO, Neural concept
12:00 Lunch break and tour  
13:15  Modeling and controlling turbulent flows through deep learning Ricardo Vinuesa, KTH Royal Institute of Technology
14:00 DANSIS Graduate Award 2022 Ceremony and Presentation  
14:30 Coffee break  
15:00 How can AI support the CFD engineer? Mark Farrall, Siemens Digital Industries Software
15:30 Deep Reinforcement Learning applied to simulated wind flow data Ewan Machefaux, Vestas Wind Systems A/S
16:00 Closing remarks Knud Erik Meyer, DANSIS chairman