001     16252
005     20210129210644.0
020 _ _ |a 978-3-89336-733-7
024 7 _ |2 ISSN
|a 1868-8489
024 7 _ |2 Handle
|a 2128/4480
037 _ _ |a PreJuSER-16252
041 _ _ |a English
082 _ _ |a 500
082 _ _ |a 600
100 1 _ |0 P:(DE-Juel1)132268
|a Speck, Robert
|b 0
|e Corresponding author
|g male
|u FZJ
245 _ _ |a Generalized Algebraic Kernels and Multipole Expansions for Massively Parallel Vortex Particle Methods
260 _ _ |a Jülich
|b Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
|c 2011
300 _ _ |a IV, 115 S.
336 7 _ |0 PUB:(DE-HGF)11
|2 PUB:(DE-HGF)
|a Dissertation / PhD Thesis
336 7 _ |0 PUB:(DE-HGF)3
|2 PUB:(DE-HGF)
|a Book
336 7 _ |0 2
|2 EndNote
|a Thesis
336 7 _ |2 DRIVER
|a doctoralThesis
336 7 _ |2 BibTeX
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336 7 _ |2 DataCite
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336 7 _ |2 ORCID
|a DISSERTATION
490 0 _ |0 PERI:(DE-600)2525100-4
|a Schriften des Forschungszentrums Jülich. IAS Series
|v 7
500 _ _ |a Record converted from JUWEL: 18.07.2013
500 _ _ |a Record converted from VDB: 12.11.2012
500 _ _ |a Persistent Identifier: urn:nbn:de:0001-2011083003
502 _ _ |a Universität Wuppertal, Diss., 2011
|b Dr. (Univ.)
|c Universität Wuppertal
|d 2011
520 _ _ |a Regularized vortex particle methods offer an appealing alternative to common mesh-based numerical methods for simulating vortex-driven fluid flows. While inherently mesh-free and adaptive, a stable implementation using particles for discretizing the vorticity field must provide a scheme for treating the overlap condition, which is required for convergent regularized vortex particle methods. Moreover, the use of particles leads to an $\textit{N}$ -body problem. By the means of fast, multipole-based summation techniques, the unfavorable yet intrinsic $\mathcal{O}$($\textit{N}$ $^{2}$)-complexity of these problems can be reduced to at least $\mathcal{O}$($\textit{N}$ log $\textit{N}$). However, this approach requires a thorough and challenging analysis of the underlying regularized smoothing kernels. We introduce a novel class of algebraic kernels, analyze its properties and formulate a decomposition theorem, which radically simplifies the theory of multipole expansions for this case. This decomposition is of great help for the convergence analysis of the multipole series and an in-depth error estimation of the remainder. We use these results to implement a massively parallel Barnes-Hut tree code with $\mathcal{O}$($\textit{N}$ log $\textit{N}$)-complexity, which can perform complex simulations with up to 10$^{8}$ particles routinely. A thorough investigation shows excellent scalability up to 8192 cores on the IBM Blue Gene/P system JUGENE at Jülich Supercomputing Centre. We demonstrate the code’s capabilities along different numerical examples, including the dynamics of two merging vortex rings. In addition, we extend the tree code to account for the overlap condition using the concept of remeshing, thus providing a promising and mathematically well-grounded alternative to standard mesh-based algorithms.
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914 1 _ |y 2011
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