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Titolo: Computational fluid dynamics applications on parallelvector computers: computations of stirred vessel flows
Autore: Bartels, C; Breuer, M; Wechsler, K; Durst, F;
 Indirizzi:
 Univ Erlangen Nurnberg, Inst Fluid Mech, D91058 Erlangen, Germany Univ Erlangen Nurnberg Erlangen Germany D91058 91058 Erlangen, Germany
 Titolo Testata:
 COMPUTERS & FLUIDS
fascicolo: 1,
volume: 31,
anno: 2002,
pagine: 69  97
 SICI:
 00457930(200201)31:1<69:CFDAOP>2.0.ZU;2O
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 IMPELLER; REACTORS; PREDICTION; STEADY; TURBINE; SCALE; BLADE; TANK;
 Keywords:
 highperformance computing; parallelvector computers; distributed and shared memory; computational fluid dynamics; stirred vessel flow; Rushton turbine; Newton number;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 Engineering, Computing & Technology
 Citazioni:
 51
 Recensione:
 Indirizzi per estratti:
 Indirizzo: Breuer, M Univ Erlangen Nurnberg, Inst Fluid Mech, Cauerstr 4, D91058 Erlangen, Germany Univ Erlangen Nurnberg Cauerstr 4 Erlangen Germany D91058 many



 Citazione:
 C. Bartels et al., "Computational fluid dynamics applications on parallelvector computers: computations of stirred vessel flows", COMPUT FLU, 31(1), 2002, pp. 6997
Abstract
Advances in parallelvector computers have resulted in a computer architecture that is able to provide the computer power needed for largescale flowpredictions. This is demonstrated in the present paper by applying two parallelvector computers, one with shared memory and the other with distributed memory, to the computation of stirred vessel flows for a wide range of Reynolds numbers, including laminar and turbulent regimes. The governing equations for unsteady fluid flows, together with appropriate boundary conditions, and the adopted solution procedure are summarized. The implementation of the numerical algorithm into a computer program is outlined. The strategies employed for vectorization and parallelization are described and emphasis is placed on four different parallelization strategies partially taking advantage of a sharedmemory architecture. Results of flow predictions inside a vessel stirred by a Rushton turbine are presented. The power characteristic expressed as Newton number versus Reynolds number of the stirrer is well predicted. It is shown that computational fluid dynamics simulations provide reliable results and yields a detailed and accurate picture of the complex flow phenomena observed in stirredtank reactors. The performance of the simulation code on the two parallelvector computers was measured and the reasons for the differences in the performances of the two architecturesare discussed in detail. (C) 2001 Elsevier Science Ltd. All rights reserved.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/01/20 alle ore 16:32:59