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High-order propagation of jet noise on a tetrahedral mesh using large eddy simulation sources

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conference contribution
posted on 04.09.2020, 13:46 authored by Miguel Moratilla-Vega, Vishal Saini, Hao XiaHao Xia, Gary PageGary Page
Jet noise is an important area of research in commercial aviation due to its high contribution to the overall noise generated by an aircraft. Conventionally, CFD combined with surface integral methods is used to study jet noise because of its low cost. However, it is not always trivial to define integration surfaces around complex geometries. This study employs a different two-step approach that can handle complex geometries. It combines a large-eddy simulation (LES) to obtain the acoustic sources from the flow field, and an acoustic perturbation equations (APE) solver to propagate the sound to the far field. The LES is performed with an industrial 2nd-order finite volume solver. The APE code is a high-order discontinuous Galerkin (DG) spectral/hp solver of the Nektar+ + framework. The APE solver is validated on a canonical test case. A study on different polynomial expansion orders and meshes is further performed to estimate the mesh size for noise propagation in the high-order spectral/hp DG context. Finally, a three-dimensional jet noise case (Re = 10, 000 and Mach = 0.9) is simulated using unstructured tetrahedral mesh for the APE solver and improved noise results for high frequencies are obtained. The results demonstrate that the present approach is capable of predicting noise in complex geometry scenarios, such as installed jets under the aircraft wings.

Funding

EPSRC for the UK supercomputing facility ARCHER via the UK Turbulence Consortium (EP/L000261/1).

CSE programme of the ARCHER UK National Supercomputing Service.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018

Pages

325 - 335

Publisher

Springer

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Publication date

2020-08-12

Copyright date

2020

ISBN

9783030396466

ISSN

1439-7358

eISSN

2197-7100

Book series

Lecture Notes in Computational Science and Engineering; vol 134

Language

en

Editor(s)

Spencer J. Sherwin, David Moxey, Joaquim Peiró, Peter E. Vincent, Christoph Schwab

Location

London, UK

Event dates

9th July 2018 - 13th July 2018

Depositor

Prof Gary Page. Deposit date: 2 September 2020

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