# A distributed algorithm for flow induced acoustics

Lai, C.-H., Wang, Z.K., Djambazov, G.S. and Pericleous, K.A.
(2006)
*A distributed algorithm for flow induced acoustics.*
Journal of Computational Acoustics (JCA), 14 (1).
pp. 131-141.
ISSN 0218-396X (Print), 1793-6489 (Online)
(doi:10.1142/S0218396X06002950)

## Abstract

Sound waves are propagating pressure fluctuations and are typically several orders of magnitude smaller than the pressure variations in the flow field that account for flow acceleration. On the other hand, these fluctuations travel at the speed of sound in the medium, not as a transported fluid quantity. Due to the above two properties, the Reynolds averaged Navier–Stokes (RANS) equations do not resolve the acoustic fluctuations. Direct numerical simulation of turbulent flow is still a prohibitively expensive tool to perform noise analysis. This paper proposes a distributed algorithm, based on the acoustic correction method, which leads to an efficient method for computational aeroacoustics and noise analysis. Software issues and advantages are discussed. Numerical experiments on a flow induced noise problem are included.

Item Type: | Article |
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Uncontrolled Keywords: | Navier–Stokes, distributed algorithm, acoustic correction method |

Subjects: | Q Science > QA Mathematics |

School / Department / Research Groups: | School of Computing & Mathematical Sciences Faculty of Architecture, Computing & Humanities > School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Computer Systems Technology Faculty of Architecture, Computing & Humanities > School of Computing & Mathematical Sciences > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences Faculty of Architecture, Computing & Humanities > School of Computing & Mathematical Sciences > Department of Mathematical Sciences Faculty of Architecture, Computing & Humanities |

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Last Modified: | 03 Jul 2015 16:43 |

URI: | http://gala.gre.ac.uk/id/eprint/3617 |

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