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Erschienen in: Computational Mechanics 6/2014

01.06.2014 | Original Paper

A parallel iterative partitioned coupling analysis system for large-scale acoustic fluid–structure interactions

verfasst von: Shunji Kataoka, Satsuki Minami, Hiroshi Kawai, Tomonori Yamada, Shinobu Yoshimura

Erschienen in: Computational Mechanics | Ausgabe 6/2014

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Abstract

In many engineering fields, dynamic response in fluid–structure interaction (FSI) is important, and some of the FSI phenomena are treated as acoustic FSI (AFSI) problems. Dynamic interactions between fluids and structures may change dynamic characteristics of the structure and its response to external excitation parameters such as seismic loading. This paper describes a parallel coupling analysis system for large-scale AFSI problems using iterative partitioned coupling techniques. We employ an open source parallel finite element analysis system called ADVENTURE, which adopts an efficient preconditioned iterative linear algebraic solver. In addition, we have recently developed a parallel coupling tool called ADVENTURE_Coupler to efficiently handle interface variables in various parallel computing environments. We also employ the Broyden method for updating interface variables to attain robust and fast convergence of fixed-point iterations. This paper describes key features of the coupling analysis system developed, and we perform tests to validate its performance for several AFSI problems. The system runs efficiently in a parallel environment, and it is capable of analyzing three-dimensional-complex-shaped structures with more than 20 million degrees-of-freedom (DOFs). Its numerical results also show good agreement with experimental results.

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Metadaten
Titel
A parallel iterative partitioned coupling analysis system for large-scale acoustic fluid–structure interactions
verfasst von
Shunji Kataoka
Satsuki Minami
Hiroshi Kawai
Tomonori Yamada
Shinobu Yoshimura
Publikationsdatum
01.06.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Computational Mechanics / Ausgabe 6/2014
Print ISSN: 0178-7675
Elektronische ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-013-0973-1

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