Landing Gear Noise Identification Using Phased Array with Experimental and Computational Data

Abstract

In regard to aircraft noise mitigation, this paper focuses on noise emission by a simplified nose landing gear (NLG), whose noise sources are identified by the means of sensor array methods. More precisely, following a former characterization of the aeroacoustics by the NLG via dedicated experiments and computations, the subsequent experimental and numerical noise signals are applied two popular sensor array methods of noise localization, namely, classical beam forming (CBF) and deconvolution approach for the mapping of acoustic sources (DAMAS). The resulting noise source maps are then analyzed from both the points of view of phenomenology (NLG noise generation mechanisms) and methodology (noise localization methods and application). The results show how sensor array methods (more especially DAMAS) are capable of revealing the underlying physics of the NLG noise source mechanisms, whether it is within an experimental or a computational context. This speaks in favor of a more systematic use of sensor array methods for investigating the noise physics of aircraft components.