001     842369
005     20210129232307.0
010 _ _ |a
020 _ _ |a 978-3-8439-3100-7
024 7 _ |a GVK:885310837
|2 GVK
024 7 _ |a (DE-605)HT019305016
|2 DE-605
037 _ _ |a FZJ-2018-00610
041 _ _ |a English
082 _ _ |a 620
100 1 _ |a Schlottke-Lakemper, Michael
|0 P:(DE-Juel1)145740
|b 0
|e Corresponding author
|u fzj
245 _ _ |a A direct-hybrid method for aeroacoustic analysis
|c Michael Alexander Schlottke-Lakemper (geb. Schlottke
|f 2012-01-01 - 2017-03-22
260 _ _ |a Aachen
|c 2017
|b Verlag Dr. Hut
300 _ _ |a xviii, 91 pages
336 7 _ |a Output Types/Dissertation
|2 DataCite
336 7 _ |a Book
|0 PUB:(DE-HGF)3
|2 PUB:(DE-HGF)
|m book
336 7 _ |a DISSERTATION
|2 ORCID
336 7 _ |a PHDTHESIS
|2 BibTeX
336 7 _ |a Thesis
|0 2
|2 EndNote
336 7 _ |a Dissertation / PhD Thesis
|b phd
|m phd
|0 PUB:(DE-HGF)11
|s 1516350592_26821
|2 PUB:(DE-HGF)
336 7 _ |a doctoralThesis
|2 DRIVER
502 _ _ |a Dissertation, RWTH Aachen, 2017
|c RWTH Aachen
|b Dissertation
|d 2017
|o 2017-03-22
520 _ _ |a Hybrid computational fluid dynamics (CFD) - computational aeroacoustics (CAA) schemes are the standard method for aeroacoustics simulations. In this approach, it is necessary to exchange information between the CFD and the CAA step, which is usually accomplished by storing acoustic source data. This data exchange procedure, however, poses two problems when such hybrid methods are used for large-scale problems with O(10^9) degrees of freedom: Firstly, the required disk space becomes large and reaches hundreds of terabytes for a single simulation. Added to that, the parallel scalability of the overall numerical scheme is limited by the available I/O bandwidth, which typically peaks between 5,000 and 10,000 cores. To avoid these problems, a highly scalable direct-hybrid scheme is presented, in which both the flow and the acoustics simulations run simultaneously. That is, all data between the two solvers is transferred in-memory, avoiding the restrictions of the I/O subsystem. Both solvers operate on a joint hierarchical Cartesian grid, which enables efficient parallelization and dynamic load balancing, and which inherently supports local mesh refinement. To demonstrate the capabilities of the new scheme, the aeroacoustic field of a co-rotating vortex pair is computed and the flow-induced noise emissions of a turbulent, isothermal jet are predicted. The results show that the direct-hybrid method is able to accurately capture the sound pressure field and that it is particularly suitable for efficient, highly parallel simulations. Furthermore, in comparison to the classic hybrid method with data exchange via disk I/O, the novel approach shows superior performance when scaling to thousands of cores.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
|0 G:(DE-HGF)POF3-511
|c POF3-511
|f POF III
|x 0
536 _ _ |0 G:(DE-Juel1)PHD-NO-GRANT-20170405
|x 1
|c PHD-NO-GRANT-20170405
|a PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)
588 _ _ |a Dataset connected to GVK
650 _ 7 |a Strömungsakustik
|0 (DE-588)4116645-0
|2 gnd
856 4 _ |u http://index.ub.rwth-aachen.de/TouchPointClient_touchpoint/perma.do?q=0%3D%222484947%22+IN+%5B2%5D&v=sunrise&l=de
909 C O |o oai:juser.fz-juelich.de:842369
|p extern4vita
910 1 _ |a Forschungszentrum Jülich
|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
920 _ _ |l no
980 _ _ |a phd
980 _ _ |a EDITORS
980 _ _ |a book
980 _ _ |a I:(DE-82)080012_20140620
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 _ _ |a I:(DE-Juel1)NIC-20090406
980 1 _ |a EXTERN4VITA


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21