Industrial Computational Fluids Dynamics

The students who finish this course will be able to understand the basics of the Computational Fluid Dynamics for industrial configurations, and how fluid simulations are intersecting with modern ML techniques and HPC.

• Session 1: General introduction to CFD: modeling, meshing and HPC
• Session 2: Traditional Reduce Order Methods: from basic data sets to full scale CFD.
• Session 3: On the use of machine learning techniques for building ROMs: from pure ML approaches to hybridizing traditional ROMs with DL.
• Session 4: Augmentation of traditional turbulence models by means of ML.
• Session 5: Towards exploiting deep reinforcement learning in fluid dynamics applications: flow control and topology optimization.

Oriol Lehmkuhl

Dr. Oriol Lehmkuhl, lead researcher (R4) at the Dept. of Computer Applications in Science and Engineering (CASE). He holds a Ph.D. in Mechanical Engineering from UPC. Dr Lehmkuhl is Ramon y Cajal researcher and leads the Large-scale Computational Fluid Dynamics group in BSC and has been recently granted with an ERC Synergy. He has been the co-director of 20 PhD theses (11 of them on-going) and 15 master theses, is author of about 100 papers in JCR journals (h-index 36), with about 220 contributions to peer-reviewed international conferences and 4 patents. In addition, Dr. Lehmkuhl has been involved in 30national and EU financially supported projects (5 coordinated) and has participated in 40 RES research projects, 6 Tier-0 PRACE projects and 1 INCITE project. Dr. Lehmkuhl’s main research interests are turbulence modelling, multi-phase modelling, high-performance computing, multi- physics & multi-scale modelling, aerodynamic simulations, and bio-mechanical modelling.

This course introduces the fundamentals of Computational Fluid Dynamics (CFD) in the context of industrial applications. Participants will gain a foundational understanding of fluid simulation techniques and explore how CFD is increasingly integrated with modern Machine Learning (ML) approaches and High-Performance Computing (HPC) to address complex engineering challenges.

Basic knowledge in CFD and CAE

Certificate of Achievement