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Adaptive mesh refinement computation of acoustic radiation from an engine intake

Adaptive mesh refinement computation of acoustic radiation from an engine intake
Adaptive mesh refinement computation of acoustic radiation from an engine intake
A block-structured adaptive mesh refinement (AMR) method was applied to the computational problem of acoustic radiation from an aeroengine intake. The aim is to improve the computational and storage efficiency in aeroengine noise prediction through reduction of computational cells. A parallel implementation of the adaptive mesh refinement algorithm was achieved using message passing interface. It combined a range of 2nd- and 4th-order spatial stencils, a 4th-order low-dissipation and low-dispersion Runge–Kutta scheme for time integration and several different interpolation methods. Both the parallel AMR algorithms and numerical issues were introduced briefly in this work. To solve the problem of acoustic radiation from an aeroengine intake, the code was extended to support body-fitted grid structures. The problem of acoustic radiation was solved with linearised Euler equations. The AMR results were compared with the previous results computed on a uniformly fine mesh to demonstrate the accuracy and the efficiency of the current AMR strategy. As the computational load of the whole adaptively refined mesh has to be balanced between nodes on-line, the parallel performance of the existing code deteriorates along with the increase of processors due to the expensive inter-nodes memory communication costs. The potential solution was suggested in the end.
adaptive mesh refinement, computational aeroacoustics, parallel computation, aeroengine
1270-9638
418-426
Huang, Xun
44c6d7c9-07ca-436c-9cbe-1ba9a2f834f9
Zhang, Xin
3056a795-80f7-4bbd-9c75-ecbc93085421
Richards, Simon Keith
f15a1027-25d0-4c8b-b0fd-bb1a070191a1
Huang, Xun
44c6d7c9-07ca-436c-9cbe-1ba9a2f834f9
Zhang, Xin
3056a795-80f7-4bbd-9c75-ecbc93085421
Richards, Simon Keith
f15a1027-25d0-4c8b-b0fd-bb1a070191a1

Huang, Xun, Zhang, Xin and Richards, Simon Keith (2008) Adaptive mesh refinement computation of acoustic radiation from an engine intake. Aerospace Science and Technology, 12 (5), 418-426. (doi:10.1016/j.ast.2007.09.004).

Record type: Article

Abstract

A block-structured adaptive mesh refinement (AMR) method was applied to the computational problem of acoustic radiation from an aeroengine intake. The aim is to improve the computational and storage efficiency in aeroengine noise prediction through reduction of computational cells. A parallel implementation of the adaptive mesh refinement algorithm was achieved using message passing interface. It combined a range of 2nd- and 4th-order spatial stencils, a 4th-order low-dissipation and low-dispersion Runge–Kutta scheme for time integration and several different interpolation methods. Both the parallel AMR algorithms and numerical issues were introduced briefly in this work. To solve the problem of acoustic radiation from an aeroengine intake, the code was extended to support body-fitted grid structures. The problem of acoustic radiation was solved with linearised Euler equations. The AMR results were compared with the previous results computed on a uniformly fine mesh to demonstrate the accuracy and the efficiency of the current AMR strategy. As the computational load of the whole adaptively refined mesh has to be balanced between nodes on-line, the parallel performance of the existing code deteriorates along with the increase of processors due to the expensive inter-nodes memory communication costs. The potential solution was suggested in the end.

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Published date: 1 July 2008
Keywords: adaptive mesh refinement, computational aeroacoustics, parallel computation, aeroengine
Organisations: Aerodynamics & Flight Mechanics

Identifiers

Local EPrints ID: 52520
URI: http://eprints.soton.ac.uk/id/eprint/52520
ISSN: 1270-9638
PURE UUID: 11287a5d-c428-4ce7-a5d9-d837ed550420

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Date deposited: 07 Jul 2008
Last modified: 15 Mar 2024 10:37

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Contributors

Author: Xun Huang
Author: Xin Zhang
Author: Simon Keith Richards

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