Session
2025 Session 3
Location
Brigham Young University Engineering Building, Provo, UT
Start Date
5-5-2025 9:40 AM
Description
Jet noise sources are challenging to measure directly due to the extreme environment. Inverse methods, such as acoustic beamforming, using data collected near these sources can be used to construct equivalent source models that accurately describe the acoustic radiation. However, generating these models for a complex source can require thousands of parameters for a complete description. To address this challenge, a multiple wavepacket decomposition is introduced, reducing the source model into a set of analytic wavepackets, which recreate the full-rank model. This paper provides an overview of the decomposition procedure and applies it to acoustic data collected near a T-7A-installed GE F404 engine. Wavepacket properties are explored, and implications are discussed.
Multiple Wavepacket Decomposition of F404 Engine Military Jet Noise
Brigham Young University Engineering Building, Provo, UT
Jet noise sources are challenging to measure directly due to the extreme environment. Inverse methods, such as acoustic beamforming, using data collected near these sources can be used to construct equivalent source models that accurately describe the acoustic radiation. However, generating these models for a complex source can require thousands of parameters for a complete description. To address this challenge, a multiple wavepacket decomposition is introduced, reducing the source model into a set of analytic wavepackets, which recreate the full-rank model. This paper provides an overview of the decomposition procedure and applies it to acoustic data collected near a T-7A-installed GE F404 engine. Wavepacket properties are explored, and implications are discussed.