Computational Aeroacoustics with Higher Order Methods

E. Rebecca Busch (), Michael S. Wurst, Manuel Keßler and Ewald Krämer
Additional contact information
E. Rebecca Busch: Universität Stuttgart, Institut für Aerodynamik und Gasdynamik
Michael S. Wurst: Universität Stuttgart, Institut für Aerodynamik und Gasdynamik
Manuel Keßler: Universität Stuttgart, Institut für Aerodynamik und Gasdynamik
Ewald Krämer: Universität Stuttgart, Institut für Aerodynamik und Gasdynamik

A chapter in High Performance Computing in Science and Engineering ‘12, 2013, pp 239-253 from Springer

Abstract: Abstract The Lighthill acoustic analogy in combination with two different higher-order CFD solvers is used to investigate the sound generation of two test cases. The flow around a cylinder at Re = 150 is analysed with a Discontinous Galerkin method and a counter-rotating open rotor (CROR) with a WENO scheme. The simulation of the cylinder is able to predict both aerodynamic and acoustic behaviour correctly, the vortex street behind the cylinder is responsible for the noise radiation similar to of an acoustic dipole. The analysis of the CROR focuses on the effect of using a higher-order method with a detailed comparison with a standard second order method. While global aerodynamic forces show only small differences, the better transport of vortices, especially of the blade tip vortex, is a benefit for the prediction of interaction noise of the two rotors. This paper includes different investigations on the new HLRS Cray Hermit cluster. The DG code was optimized for single-core usage while still maintaining its good parallel performance. The effect of node-pinning is studied with the CROR configuration which improved the computational time slightly.

Keywords: Computational Fluid Dynamic; Computational Fluid Dynamic Simulation; Acoustic Analysis; WENO Scheme; High Order Method (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33374-3_19

Ordering information: This item can be ordered from
http://www.springer.com/9783642333743

DOI: 10.1007/978-3-642-33374-3_19

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().