Calculation of acoustic radiation modes on random convex 3D geometries using Boundary Element Method (en)

* Presenting author
Day / Time: 08.03.2023, 10:20-10:40
Room: Saal X 5-6
Typ: Regulärer Vortrag
Abstract: The numerical estimation of the sound power in frequency domain is researched in the fields such as auralization, acoustic design, and active noise cancellation. Acoustic radiation modes (ARMs) and their radiation coefficients build a bridge from the structure-borne noise to the emitted sound power considering not only zero-order but also higher-order multipoles. ARMs of arbitrary convex structures can be calculated with Boundary Element Method (BEM) using high-performance computing. Machine Learning (ML) techniques show the potential to predict ARMs with reduced demand for computing resources. Therefore, an extensive database of ARMs relating to convex geometries is required to train, test, and validate the ML model. In this paper, the ARMs of random generated convex three-dimensional geometries are simulated with BEM to build a database for ML-aided identification of ARMs. The results of the simulation are theoretically validated for the case of a box.


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