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  • English  (2)
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  • 1
    Publication Date: 2021-02-01
    Description: The identification of sound sources is a common problem in acoustics. Different parameters are sought, among these are signal and position of the sources. We present an adjoint-based approach for sound source identification, which employs computational aeroacoustic techniques. Two different applications are presented as a proof-of-concept: optimization of a sound reinforcement setup and the localization of (moving) sound sources.
    Language: English
    Type: bookpart , doc-type:bookPart
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  • 2
    Publication Date: 2021-02-23
    Description: An adjoint-based approach for synthesizing complex sound sources by discrete, grid-based monopoles in finite-difference time-domain simulations is presented. Previously [Stein et al., 2019a, J. Acoust. Soc. Am. 146(3), 1774–1785] demonstrated that the approach allows to consider unsteady and non-uniform ambient conditions such as wind flow and thermal gradient in contrast to standard methods of numerical sound field simulation. In this work, it is proven that not only ideal monopoles but also realistic sound sources with complex directivity characteristics can be synthesized. In detail, an oscillating circular piston and a real 2-way near-field monitor are modeled. The required number of monopoles in terms of the SPL deviation between the directivity of the original and the synthesized source is analyzed. Since the computational effort is independent of the number of monopoles used for the synthesis, also more complex sources can be reproduced by increasing the number of monopoles utilized. In contrast to classical least-square problem solvers, this does not increase the computational effort, which makes the method attractive for predicting the effect of sound reinforcement systems with highly directional sources under difficult acoustic boundary conditions.
    Language: English
    Type: article , doc-type:article
    Format: application/pdf
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