Acoustic imaging of geometrically shielded sound sources using tailored Green's functions

In light of the growing market of urban air mobility, it is crucial to accurately detect the stationary or moving noise sources within the complex scattering environments caused by aircraft structures such as airframes and engines. This study combines conventional and wavelet-based beamforming techniques with an acoustic scattering prediction method to develop an acoustic imaging approach that considers scattering effects. Tailored Green's function is numerically evaluated and used to compute the steering vectors and the specific delayed time used in those beamforming methods. By examining common scenarios where a scatterer is positioned between the source plane and the array plane, it is observed that beamforming in a scattering environment differs from that in free space, leading to improved resolution alongside scattering-induced side lobes. The effectiveness of the developed method is validated through numerical simulations and experimental studies, confirming its improved ability to localize both stationary and rotating sound sources in a shielded environment. This advancement offers effective techniques for acoustic measurement and fault monitoring in the presence of structural scatterers.

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Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2024-11-01
DOI
https://doi.org/10.1121/10.0034353
Citations
2
Primary Topic
Aerodynamics and Acoustics in Jet Flows
Type
article
Field-Weighted Citation Impact
2.60

Funders

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article

Acoustic imaging of geometrically shielded sound sources using tailored Green's functions

Zhida Ma, Lican Wang, Peng Zhou, Wangqiao Chen et al.
2 citations
The Journal of the Acoustical Society of America
Aerodynamics and Acoustics in Jet Flows
2.60
article

Acoustic imaging of geometrically shielded sound sources using tailored Green's functions

Zhida Ma, Lican Wang, Peng Zhou, Wangqiao Chen, Siyang Zhong, Baodong Chen, Zhenjun Peng, Guocheng Zhou
article en
2 citations

Abstract

In light of the growing market of urban air mobility, it is crucial to accurately detect the stationary or moving noise sources within the complex scattering environments caused by aircraft structures such as airframes and engines. This study combines conventional and wavelet-based beamforming techniques with an acoustic scattering prediction method to develop an acoustic imaging approach that considers scattering effects. Tailored Green's function is numerically evaluated and used to compute the steering vectors and the specific delayed time used in those beamforming methods. By examining common scenarios where a scatterer is positioned between the source plane and the array plane, it is observed that beamforming in a scattering environment differs from that in free space, leading to improved resolution alongside scattering-induced side lobes. The effectiveness of the developed method is validated through numerical simulations and experimental studies, confirming its improved ability to localize both stationary and rotating sound sources in a shielded environment. This advancement offers effective techniques for acoustic measurement and fault monitoring in the presence of structural scatterers.

The Journal of the Acoustical Society of AmericaVol. 156(5)
Hong Kong Polytechnic University (HK), Hong Kong University of Science and Technology (HK)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 8%
Aerodynamics and Acoustics in Jet Flows
2.60
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