Session

Numerical Acoustics 3

Day / Time: 20.03.2025, 14:00-16:40
Type: Regulare Lecture

Session chair

Contributions

14:00 - 14:20
Inverse Acoustic Characterization of Rigid Porous Media using Artificial Neural Networks
Stefan Buchner, Marcus Wagner, Christoph Höller
14:20 - 14:40
Integrating Neural Networks with Boundary Element Methods for Robust Sound Field Calculations
Simone Preuss, Johannes D. Schmid, Lukas Maicher, Steffen Marburg
14:40 - 15:00
Data-Driven Anomaly Detection of Powder Bed Fusion with Acoustic Emission Data
Yaxiong Ren, Peter Gross, Linghong Zhang, Robert Feldmann, Matthias Weigold, Tobias Melz
15:00 - 15:20
Optimizing acoustic system simulations with Bayesian Neural Networks (BNN): Reducing computational effort through intelligent sampling
Arne Hildenbrand, Steffen Marburg
15:20 - 15:40
Insights Into Automated Quality Inspection in Lightweight Additive Manufacturing Using Machine-Learning With Measured and Simulated Acoustic Emissions
Sören Keuchel, Thorben Schröder, Cristiano De Boni, Peter Gross, Olena Prianychnykova, Yaxiong Ren, Alexander Fritz, Italo Balestra, Johannes Schötz, Peter Hofmann, Hannes Marckmann, Ömer Faruk Yildiz, Olgierd Zaleski
15:40 - 16:00
Computational Mapping of End-Correction for Perforated Plates using a Deep Neural Network
Mads J. Herring Jensen
16:00 - 16:20
Vibroacoustic Metamaterial Design via Deep Reinforcement Learning
Semere Birhane Gebrekidan, Marcus Maeder, Florian Toth, Steffen Marburg
16:20 - 16:40
Modeling cut-out resonators as mass-spring oscillators for plate-type metamaterials
Mehmet Sait Özer, Stefan Fischer, M. Ercan Altinsoy