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Forum Acusticum 2026

8–12 Sept 2026
Europe/Vienna timezone

Session

A12.02 Data-driven methods in acoustics and vibration

A12.02
10 Sept 2026, 14:20

Conveners

A12.02 Data-driven methods in acoustics and vibration: S082

  • Marcus Maeder (Technical University of Munich)
  • Elias Zea (Marcus Wallenberg Laboratory, KTH Royal Institute of Technology)

Presentation materials

There are no materials yet.

  1. 4154. Generalization of Deep Reinforcement Learning for the Design of Broadband Bandgap Structures (FA2026/37)
    Semere B. Gebrekidan (Institute of Mechanics and Mechatronic)
    10/09/2026, 14:20
    A12 Numerical, Computational, and Theoretical Acoustics

    andgap materials play a critical role in controlling wave propagation for applications in vibration isolation and acoustic filtering. Traditional topology optimization methods can effectively maximize bandgaps but are computationally expensive and limited in scalability. Data-driven approaches, including generative models and supervised learning, accelerate design discovery but remain...

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  2. 4155. Data-Driven Equation Discovery in Weakly Nonlinear Sound Beams (FA2026/120)
    Tereza Filipská (Czech Technical University in Prague)
    10/09/2026, 14:40
    A12 Numerical, Computational, and Theoretical Acoustics

    In this study, we build on our previous article, in which we presented the possibilities of data-driven equation discovery in the field of nonlinear acoustics. Now we focus on another benchmarking task: finding equations for weakly nonlinear sound beams. To this end, we rely on simulations of the compressible NavierStokes equations. In this case, we are dealing with wave propagation from a...

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  3. 4156. Data-driven Dynamical Energy Analysis for modelling high-frequency noise and vibration (FA2026/282)
    David Chappell (Nottingham Trent University)
    10/09/2026, 15:00
    A12 Numerical, Computational, and Theoretical Acoustics

    Predicting high-frequency noise and vibration in complex structures is a challenging task where standard numerical methods for wave-based models struggle with the rapid oscillations involved, leading to prohibitive computational costs. While methods like Statistical Energy Analysis (SEA) or ray tracing are popular alternatives, Dynamical Energy Analysis (DEA) offers a more robust approach by...

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  4. 4157. Data-driven modeling of strong acoustic fields in piston-driven resonators with boundary layer losses (FA2026/435)
    Viktor Hruška (Czech Technical University in Prague)
    10/09/2026, 15:20
    A12 Numerical, Computational, and Theoretical Acoustics

    The investigation of strong acoustic fields in closed, piston-driven resonators is a classical problem in nonlinear acoustics. One of the possible approaches consists in deriving a modified Burgers’ equation for this case and solving it by projecting onto a set of (coupled) harmonics. This procedure even provides certain asymptotic closed-form solutions. In this paper, a similar problem is...

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  5. 4158. Structural Intensity Estimation from Noisy Plate Vibration Measurements Using Physics-Informed Neural Operators (FA2026/639)
    Johannes D. Schmid (Technical University of Munich)
    10/09/2026, 15:40
    A12 Numerical, Computational, and Theoretical Acoustics

    Structural intensity provides valuable insights into vibrational energy flow and dominant transmission paths within mechanical structures. For thin-walled plates, it can be derived from the transverse displacement field and its spatial derivatives. However, obtaining reliable estimates from experimental data is difficult, since numerical differentiation amplifies measurement noise, especially...

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