Issue |
Acta Acust.
Volume 9, 2025
|
|
---|---|---|
Article Number | 41 | |
Number of page(s) | 14 | |
Section | Virtual Acoustics | |
DOI | https://doi.org/10.1051/aacus/2025026 | |
Published online | 16 July 2025 |
Technical & Applied Article
Bidirectional surface scattering coefficients
Institute for Hearing Technology and Acoustics, RWTH Aachen University Aachen Germany
* Corresponding author: ahe@akustik.rwth-aachen.de
Received:
25
March
2025
Accepted:
12
June
2025
The prediction and modeling of sound propagation rely heavily on accurate representations of surface scattering. Traditional scattering coefficients, often based on random-incidence assumptions, fail to capture the directional dependence of sound reflections from rough surfaces. This paper introduces a methodology for determining and representing bidirectional surface scattering coefficients, moving beyond the limitations of existing Lambertian-based approaches. We propose a framework that leverages numerical simulations and physical measurements to compute bidirectional scattering coefficients from reflected sound pressure distributions with finite-size samples. The methodology is validated using a well-documented sinusoidal test surface, comparing our results with analytical solutions for infinite-size samples and former random-incidence scattering coefficient measurements. Additionally, we propose a data storage format compatible with the Spatially Oriented Format for Acoustics (SOFA) to facilitate the integration of bidirectional scattering coefficients into sound propagation models. This work provides a foundation for improved acoustic simulations in applications ranging from room acoustics to urban noise control.
Key words: Acoustic scattering / Bidirectional scattering coefficients / Scattering coefficients / Sound propagation modelling
© The Author(s), Published by EDP Sciences, 2025
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.
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