Parallel computation of aeroacoustics of industrially relevant complex-geometry aeroengine jets

Zhong-Nan Wang, James C. Tyacke, Paul G. Tucker, Peer Boehning

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Jet noise is still a distinct noise component when a commercial aircraft is taking off. A parallel high-fidelity simulation framework for industrial jet noise prediction is presented in this paper. This framework includes complex geometry meshing and Ffowcs Williams-Hawkings (FW-H) surface placement during preprocessing, a parallel hybrid RANS-LES flow solver coupled with an FW-H acoustic solver in the simulation and mean and unsteady data processing after the simulation. The use of this framework is demonstrated through two jet noise prediction cases: in-flight heated jets and installed ultra-high bypass-ratio (UHBPR) engines. These simulations can provide more insight than experimental tests into jet flow physics for engineering model improvement. Additional advantages are also shown in the cost and turn-around time. Thus there is great potential for high-fidelity jet noise simulations to partly replace rig tests for industrial use in the future.

Original languageEnglish
Pages (from-to)166-178
Number of pages13
JournalComputers and Fluids
Early online date3 Nov 2018
Publication statusPublished - 15 Jan 2019

Bibliographical note

Funding Information:
The work is performed as part of the EU-funded project JERONIMO (ACP2-GA-2012-314692-JERONIMO) and the computing time is provided by the UK Turbulence Consortium under EPSRC grant EP/L000261/1 and PRACE Distributed European Computing Initiative (DECI-14) under project InJet.

Publisher Copyright:
© 2018 Elsevier Ltd

Copyright 2018 Elsevier B.V., All rights reserved.


  • Hybrid LES-RANS
  • Jet noise prediction
  • Parallel computation

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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