Correction: Broadband Airfoil-Noise Source Localization by Microphone Arrays and Modeling of a Swept Free-Tip Blade

Abstract

The present paper describes a post-processing methodology of microphone-array results for accurate source localization and separation. A deconvolution method CIRA is used to extract quantitative spectral results for multiple noise sources identified on a wallmounted, finite-span swept and cambered airfoil tested in an open-jet aeroacoustic facility. This allows understanding the contribution of each source in the noise generation process. The total sound pressure level is reconstructed from the individual spectra of each noise source and extrapolated in the far field to be compared with a single-microphone spectrum. The Bayesian algorithm is used to improve the comparison between reconstructed and experimental spectra as it takes into account the coherent nature of the sources. Remaining discrepancies motivate a re-examination of the assumptions made in the post-processing, aimed at making the spectral characterization of extracted sources more accurate. For this, analytical models of the source mechanisms and of their spanwise correlation are proposed as a tool to define future improvements.