Abstract
To predict and optimize the noise impact of aircraft traffic airframe noise needs to be described by simple but reliable acoustic models. The present work is focused on the assessment of slat noise from Airbus A340 flyover noise measurements using a ground microphone phased array. A recently developed beamforming-based deconvolution technique for moving sources is used. This methodology enables to spatially separate the various airframe noise sources over a range of more than 10 dB and to provide their individual de-Dopplerized acoustic spectra. Slat noise spectra and directivity patterns are computed for two flight velocities: 150 and 175 kt. The results are compared to predicted noise levels given by a popular semi-empirical model based on static slat noise measurements at reduced scale in a wind tunnel. Despite both numerous uncertainties of real flyover noise tests and the inaccurate reproduction of slat devices at model scale, similar characteristics of slat noise are obtained.
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