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| 001 | 281102 | ||
| 005 | 20210129221621.0 | ||
| 037 | _ | _ | |a FZJ-2016-00807 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Schlottke-Lakemper, Michael |0 P:(DE-Juel1)145740 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 21st AIAA/CEAS Aeroacoustics Conference |c Dallas, TX |d 2015-06-22 - 2015-06-26 |w USA |
| 245 | _ | _ | |a A direct-hybrid method for computational aeroacoustics |
| 260 | _ | _ | |c 2015 |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1453384627_2880 |2 PUB:(DE-HGF) |x Other |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a In this work, a highly scalable numerical method is presented that allows to compute the aerodynamic sound from the flow field for large-scale problems. The acoustic perturbation equations are solved by a high-order discontinuous Galerkin method and by using the acoustic source terms obtained from an approximate solution of the Navier-Stokes equations. Both solvers operate on the same hierarchical Cartesian grid. This direct-hybrid method is validated by monopole and pressure pulse simulations and is used to compute the aeroacoustics of a turbulent mixing layer. The results indicate that the new method is capable of efficiently predicting the acoustic field and show that it is suitable for highly parallel simulations. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 700 | 1 | _ | |a Cheng, Hsun-Jen |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Pauz, Vitali |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Meinke, Matthias H. |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Schroeder, Wolfgang |0 P:(DE-HGF)0 |b 4 |
| 909 | C | O | |o oai:juser.fz-juelich.de:281102 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)145740 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2015 |
| 915 | _ | _ | |a No Authors Fulltext |0 StatID:(DE-HGF)0550 |2 StatID |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)080012_20140620 |k JARA-HPC |l JARA - HPC |x 1 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a I:(DE-82)080012_20140620 |
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