Junting Yao, M.Sc.

Development of a general framework for the model reduction of multi-physical acoustic problems

Within this track a scalable and generic framework for the deployment of MOR within vibro-acoustic problems will be defined. Specifically, the scalability of existing MOR techniques for FE and BE vibro-acoustic problems will be evaluated and enhanced, employed by High-Performance-Computing.

Then, a framework will be defined for the flexible interchange of those and will exploit the best performing techniques with respect to efficiency, memory usage, code intrusiveness, heuristically defined parameters, number of inputs and outputs to develop a technique for the efficient solution of strongly coupled vibro-acoustic problems. Further, techniques will be developed that enable the reduction of additional multi-physical models, such as lumped parameter modeling and flexible multibody systems, aiming the efficient modelling of e.g. the acoustic emission of moving parts of a wind turbine model. 

Research Topics

• Data-driven, physics-aware approaches (e.g. PINN)
• High Performance Computing
• Model order reduction

Project Partners

• Katholieke Universiteit Leuven (KU Leuven)
• Technical University of Munich (TUM)
• Siemens Industries Software (SISW)