Issue |
Acta Acust.
Volume 5, 2021
|
|
---|---|---|
Article Number | 32 | |
Number of page(s) | 13 | |
Section | Structural Acoustics | |
DOI | https://doi.org/10.1051/aacus/2021023 | |
Published online | 29 July 2021 |
Scientific Article
Application of the LMS algorithm to identify the surface velocity responsible for the radiated sound pressure
1
Applied Acoustics, Chalmers University of Technology, 41296 Göteborg, Sweden
2
HEAD acoustics GmbH, 52134 Herzogenrath, Germany
* Corresponding author: Wolfgang.Kropp@chalmers.se
Received:
11
March
2021
Accepted:
10
June
2021
A time domain approach based on the least mean square (LMS) algorithm is applied to reconstruct the source amplitude and source distribution on a plate. For this a numerical experiment is established. A boundary element model is used to calculate the required impulse response functions describing the pressure in near- and far-field for a given volume flow at individual patches on the plate. Three different cases are considered. Firstly, a volume flow is given to a single patch. The LMS algorithm is used to reconstruct the source signal by means of receiving positions in the far-field. Secondly, the approach is used to identify the vibration pattern and source signal on a line of patches. Thirdly, a vibration pattern was given to the plate as the whole. For the reconstruction an assumption was made about the underlying vibration patterns (e.g. expansion in vibrational modes). Such an approach proved to be very time efficient and powerful. It also showed the need to place the receiving positions in the near-field to be able to obtain correct results over the whole frequency range. However, this is not a problem of the approach based on the LMS algorithm, but just due to the underlying physics. It is not possible to deduce the near-field from far-field observations, and therefore the vibrations mainly leading to a near-field are simply not visible in the far-field.
Key words: Source identification / Inverse problem / Time domain
© W. Kropp et al., Published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.