The University of Southampton
University of Southampton Institutional Repository

Efficient computation of spinning modal radiation through an engine bypass duct

Huang, Xun, Chen, Xiaoxian, Ma, Zhaokai and Zhang, Xin (2008) Efficient computation of spinning modal radiation through an engine bypass duct AIAA Journal, 46, (6), pp. 1413-1423. (doi:10.2514/1.31136).

Record type: Article


The aim of this work is to accurately and efficiently predict sound radiation out of a duct with flow. The sound propagation inside a generic engine bypass duct, refractions by the shear layer of the exhaust flow, and propagation in the near field are the main focus of the study. The prediction uses either a modified form of linearized Euler equations or an alternative model based on acoustic perturbation equations, which were extended to cylindrical coordinates. The two models were compared on a canonical case of sound propagation out of a semi-infinite duct with flow. Good agreements between the predictions were achieved. The more general case of a generic aircraft engine bypass duct with flow was then investigated with the technique of adaptive mesh refinement to increase the computational efficiency. The results show that both linearized Euler equations and acoustic perturbation equations models can predict the near-field sound propagation and far-field directivity. The acoustic perturbation equations model, however, is more adaptive for its suitability to an arbitrary background mean flow.

PDF Efficient_Computation_of_Spinning_Modal_Radiation_Through_an_Engine_Bypass_Duct.pdf - Version of Record
Download (4MB)

More information

Published date: June 2008
Organisations: Aerodynamics & Flight Mechanics


Local EPrints ID: 51298
ISSN: 0001-1452
PURE UUID: 0a83321d-2ccf-4cc4-a98f-0395e171e2c9

Catalogue record

Date deposited: 27 May 2008
Last modified: 17 Jul 2017 14:48

Export record


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.