Reproducing Acceleration Power Spectral Density from an Aircraft Fuselage Panel Excited by Turbulent Boundary Layer Using Piezoelectric Actuators

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DOI: 10.22215/etd/2017-12173

Abstract

Noise and vibration in an aircraft cabin during cruise conditions is predominantly caused by external flow excitations from the turbulent boundary layer. The turbulent boundary layer causes the fuselage panels on the aircraft to vibrate. These vibrations radiate sound energy in the form of noise. This thesis describes a method to analytically optimize aircraft’s cabin panel parameters, to reduce the acceleration power spectral density of the panel caused by the turbulent boundary layer, thereby reducing the radiated sound power into the cabin. In addition, this thesis presents an experimental validation, and modification of two existing analytical models used to calculate acceleration power spectral density for an aircraft panel, with three different excitations: (1) an impact hammer force, (2) a turbulent boundary layer, and (3) a piezoelectric patch. Finally, an optimization method has been developed to reproduce the acceleration power spectral density of an aircraft panel, at constant cruise conditions, by optimally selecting the placement of a given number of piezoelectric actuators, excited with a white noise distribution of frequencies within the human hearing range.

Cited By (1)

Year	Entry
2023	Huffman Z. Derivation of an Empirical Model to Estimate the Power Spectral Density of Turbulent Flow Wall Pressure Fluctuations Using Machine Learning Regression Techniques [Master's thesis]. Carleton University; 2023.