Tagungsband - DAGA 2024
Sitzung

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

Tag / Zeit: 21.03.2024, 08:40-11:00
Raum: FMS A
Typ: Vortrag (strukturierte Sitzung)

Sitzungsleitung

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

Beiträge

08:40 - 09:00
Data-driven evaluation of acoustic quality of phonation (no manuscript)
Stefan Kniesburges, Lucia Gühring, Bogac Tur, Anne Schützenberger
09:00 - 09:20
Modeling the Acoustic Effect of Porous Materials with Physics-Informed Neural Networks (no manuscript)
Florian Kraxberger, Eniz Museljic, Andreas Wurzinger, Manfred Kaltenbacher, Stefan Schoder
09:20 - 09:40
Frequency-Dependent Sound Power Estimation: A Comparative Study on a Baffled Plate
Yaxiong Ren, Robert Feldmann, Christian Adams, Tobias Melz
10:00 - 10:20
Multi-fidelity neural network for efficient analyses of acoustic systems
Arne Hildenbrand, Caglar Gürbüz, Steffen Marburg
10:20 - 10:40
Characterization of Structural Dynamic Boundary Conditions Using Physics-Informed Neural Networks
Johannes D. Schmid, Philipp Bauerschmidt, Caglar Gürbüz, Steffen Marburg
10:40 - 11:00
Deep Learning based Surrogate Modeling for Frequency Response Prediction of Structural Dynamic Models
Julius Schultz, Jan Van Delden, Christopher Blech, Sabine C. Langer, Timo Lüddecke