1
Session

Application of data driven methods in flow- and vibro-acoustics 1

Day / Time: 21.03.2024, 08:40-11:00
Room: FMS A
Typ: Vortrag (strukturierte Sitzung)

Session leader

  • Stefan Schoder (TU Graz, Institut für Grundlagen und Theorie der Elektrotechnik (IGTE))
  • Christian Adams (TU Graz, Institut für Grundlagen und Theorie der Elektrotechnik (IGTE))

Articles

08:40 - 09:00
Stefan Kniesburges, Lucia Gühring, Bogac Tur, Anne Schützenberger
Data-driven evaluation of acoustic quality of phonation (en)
09:00 - 09:20
Florian Kraxberger, Eniz Museljic, Andreas Wurzinger, Manfred Kaltenbacher, Stefan Schoder
Modeling the Acoustic Effect of Porous Materials with Physics-Informed Neural Networks (en)
09:20 - 09:40
Yaxiong Ren, Robert Feldmann, Christian Adams, Tobias Melz
Frequency-Dependent Sound Power Estimation: A Comparative Study on a Baffled Plate (en)
10:00 - 10:20
Arne Hildenbrand, Caglar Gürbüz, Steffen Marburg
Multi-fidelity neural network for efficient analyses of acoustic systems (en)
10:20 - 10:40
Johannes D. Schmid, Philipp Bauerschmidt, Caglar Gürbüz, Steffen Marburg
Characterization of Structural Dynamic Boundary Conditions Using Physics-Informed Neural Networks (en)
10:40 - 11:00
Julius Schultz, Jan Van Delden, Christopher Blech, Sabine C. Langer, Timo Lüddecke
Deep Learning based Surrogate Modeling for Frequency Response Prediction of Structural Dynamic Models (en)