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ENCIT 2016
16th Brazilian Congress of Thermal Sciences and Engineering
An Proper Orthogonal Decomposition Analysis of a Realistic Landing Gear with Applications to Noise Prediction
Submission Author:
Paulo Azevedo , SP
Co-Authors:
William Wolf
Presenter: William Wolf
doi://10.26678/ABCM.ENCIT2016.CIT2016-0174
Abstract
The current paper will present noise predictions of the AIRBUS-ONERA LAGOON landing gear configuration. Numerical simulations of the turbulent flow past the LAGOON landing gear provide the acoustic sources responsible by the noise generation. The Ffowcs Williams & Hawkings (FWH) acoustic analogy formulation is then applied to perform the far-field noise predictions. Proper orthogonal decomposition is employed to extract the most energetic components of the noise sources from the turbulent flow and the noise predictions are accelerated by a 3D wideband fast multipole method. An Optimized Implementation is present in order to achieve maximum performance in terms of processing power and storage optimization. Also a strategy for smooth the Spectra along the time is presented, using the autocorrelation matrix obtained by the Proper orthogonal decomposition.
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