A Semi-empirical Model for Jet Noise Prediction in the Geometric Near Field

2004 ◽  
Author(s):  
Alessandro Bassetti ◽  
Michael Fisher ◽  
Christopher Morfey
Keyword(s):  
Empirical Model ◽  
Near Field ◽  
Jet Noise ◽  
Noise Prediction ◽  
Semi Empirical

A Surface-Integral Formulation for Jet Noise Prediction Based on the Pressure Signal Alone

1998 ◽  
Vol 06 (03) ◽  
pp. 307-320 ◽  
Author(s):  
R. R. Mankbadi ◽  
S. H. Shih ◽  
D. R. Hixon ◽  
J. T. Stuart ◽  
L. A. Povinelli
Keyword(s):  
Cylindrical Surface ◽  
Large Scale ◽  
Near Field ◽  
Jet Noise ◽  
Normal Derivative ◽  
Integral Formulation ◽  
Noise Prediction ◽  
Far Field ◽  
Surface Integral ◽  
Large Scale Simulation

While large-scale simulation of jet noise is the most thorough technique currently available for jet noise prediction, three-dimensional direct computation of both the near and far field requires prohibitive computational capability. In this work we propose to limit large-scale simulation to the near field to provide the pressure distribution over a cylindrical surface surrounding the jet. A surface-integral formulation is presented herein in which the calculated pressure on the cylindrical surface is used to obtain the far-field sound, without the need for the normal derivative of the pressure. The results are compared to that of direct large-scale simulation and to the zonal approach in which linearized Euler equations are used as an extension tool.

scholarly journals Modeling of aircraft jet noise in airports

2018 ◽  
Vol 234 ◽  
pp. 01003
Author(s):  
Hristina Georgieva ◽  
Krasin Georgiev
Keyword(s):  
Mathematical Model ◽  
Empirical Model ◽  
Jet Noise ◽  
Real Data ◽  
Aircraft Noise ◽  
Degree Of Freedom ◽  
The Real ◽  
Proposed Model ◽  
Passenger Aircraft ◽  
Semi Empirical

A mathematical model with 4 degree of freedom created in Matlab for aircraft final landing trajectory is described in this paper. A midsize commercial passenger aircraft similar to an Airbus A320 has been chosen as a reference aircraft. The parameters of model are obtained from Airbus, Eurocontrol and the approach procedure at the Munich airport is selected up from Jeppesen Airway manual. A semi-empirical model of Stone for predicting the jet noise has been used. The proposed model was validated against 10 real flights obtained from Aircraft noise monitoring at Munich airport. The computed error between the real data and modelling is reported on. Obtained results are presented numerical and graphically. The observed effects of aircraft speed, aircraft angle of descent and aircraft weight for reduction of aircraft jet noise in airports represent subjects of discussions in the paper.

Extension of near field to far field jet noise prediction

1996 ◽  
Author(s):  
Reda Mankbadi ◽  
S. Shih ◽  
D. Hizon ◽  
L. Povinelli ◽  
J. Stuart
Keyword(s):  
Near Field ◽  
Jet Noise ◽  
Noise Prediction ◽  
Far Field
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