An aircraft noise prediction model integrating ellipsoid and nonlinear function

Abstract

The impact of aircraft noise has become an increasingly hot topic, but the construction of aircraft noise prediction models has long faced problems such as excessive reliance on aircraft performance data and complex modeling. To make up these issues, this study proposes a comprehensive noise prediction method based on the Morse theory for moving sound. The model only requires aircraft trajectory and noise measurement data as inputs, getting rid of the dependence on aircraft performance data and modeling simply. It combines the ellipsoid model and nonlinear function for the first time, which can adapt to changes in aircraft noise data, reflect the asymmetry of front and rear noise caused by Doppler effect and the variability of atmospheric attenuation. The experimental verification results show that the proposed model has good accuracy with the average values of ME and MAE not more than 1.6 dB and the fluctuation range basically within ± 3 dB. In addition, the model can better simulate the attenuation process of aircraft noise perpendicular to aircraft motion direction and its accuracy in evaluating flight noise events is also comparable to traditional models. This success is due to the combination of physical-based models and nonlinear functions, which provides a new feasible method for aircraft noise prediction.