Efficient prediction of airborne noise propagation in a non-turbulent urban environment using Gaussian beam tracing method

Journal Article (2023)
Author(s)

Furkat Fuerkaiti (TU Delft - Wind Energy)

D. Casalino (TU Delft - Wind Energy)

Francesco Avallone (Politecnico di Torino)

D. Ragni (TU Delft - Wind Energy)

Research Group
Wind Energy
Copyright
© 2023 F. Yunus, D. Casalino, F. Avallone, D. Ragni
DOI related publication
https://doi.org/10.1121/10.0017825
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 F. Yunus, D. Casalino, F. Avallone, D. Ragni
Research Group
Wind Energy
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
4
Volume number
153
Pages (from-to)
2362-2375
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper presents a noise propagation approach based on the Gaussian beam tracing (GBT) method that accounts for multiple reflections over three-dimensional terrain topology and atmospheric refraction due to horizontal and vertical variability in wind velocity. A semi-empirical formulation is derived to reduce truncation error in the beam summation for receivers on the terrain surfaces. The reliability of the present GBT approach is assessed with an acoustic solver based on the finite element method (FEM) solutions of the convected wave equation. The predicted wavefields with the two methods are compared for different source-receiver geometries, urban settings, and wind conditions. When the beam summation is performed without the empirical formulation, the maximum difference is more than 40 dB; it drops below 8 dB with the empirical formulation. In the presence of wind, the direct and reflected waves can have different ray paths than those in a quiescent atmosphere, which results in less apparent diffraction patterns. A 17-fold reduction in computation time is achieved compared to the FEM solver. The results suggest that the present GBT acoustic propagation model can be applied to high-frequency noise propagation in urban environments with acceptable accuracy and better computational efficiency than full-wave solutions.

Files

2362_1_10.0017825.pdf
(pdf | 8.19 Mb)
- Embargo expired in 23-10-2023
License info not available