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Titolo:
Partitioned analysis of coupled mechanical systems
Autore:
Felippa, CA; Park, KC; Farhat, C;
Indirizzi:
Univ Colorado, Dept Aerosp Engn Sci, Boulder, CO 80309 USA Univ Colorado Boulder CO USA 80309 Aerosp Engn Sci, Boulder, CO 80309 USA Univ Colorado, Ctr Aerosp Struct, Boulder, CO 80309 USA Univ Colorado Boulder CO USA 80309 r Aerosp Struct, Boulder, CO 80309 USA
Titolo Testata:
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
fascicolo: 24-25, volume: 190, anno: 2001,
pagine: 3247 - 3270
SICI:
0045-7825(2001)190:24-25<3247:PAOCMS>2.0.ZU;2-6
Fonte:
ISI
Lingua:
ENG
Soggetto:
FINITE-ELEMENT ANALYSIS; AEROELASTIC COMPUTATIONS; VARIATIONAL PRINCIPLE; STAGGERED ALGORITHM; TRANSIENT ANALYSIS; STABILITY; MESHES; CONSERVATION; FORMULATION;
Keywords:
coupled systems; multiphysics; partitioned analysis; staggered solution; parallel computation; fluid-structure interaction;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
59
Recensione:
Indirizzi per estratti:
Indirizzo: Felippa, CA Univ Colorado, Dept Aerosp Engn Sci, Campus Box 429, Boulder, CO 80309 USA Univ Colorado Campus Box 429 Boulder CO USA 80309 CO 80309 USA
Citazione:
C.A. Felippa et al., "Partitioned analysis of coupled mechanical systems", COMPUT METH, 190(24-25), 2001, pp. 3247-3270

Abstract

This is a tutorial article that reviews the use of partitioned analysis procedures for the analysis of coupled dynamical systems. Attention is focused on the computational simulation of systems in which a structure is a major component. Important applications in that class are provided by thermomechanics, fluid-structure interaction and control-structure interaction. In the partitioned solution approach, systems are spatially decomposed into partitions. This decomposition is driven bq physical or computational considerations. The solution is separately advanced in time over each partition. Interaction effects are accounted for by transmission and synchronization of coupled state variables. Recent developments in the use of this approach for multilevel decomposition aimed at massively parallel computation are discussed. (C) 2001 Elsevier Science B.V. All rights reserved.

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Documento generato il 15/07/20 alle ore 05:33:46