A parallel hp-FEM infrastructure for three-dimensional structural acoustics
This paper describes a parallel three‐dimensional numerical infrastructure for the solution of a wide range of time‐harmonic problems in structural acoustics and vibration. High accuracy and rate of error‐convergence, in the mid‐frequency regime,is achieved by the use of hp‐finite and infinite eleme...
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| Veröffentlicht in: | International journal for numerical methods in engineering Jg. 68; H. 5; S. 583 - 603 |
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| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Chichester, UK
John Wiley & Sons, Ltd
29.10.2006
Wiley |
| Schlagworte: | |
| ISSN: | 0029-5981, 1097-0207 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | This paper describes a parallel three‐dimensional numerical infrastructure for the solution of a wide range of time‐harmonic problems in structural acoustics and vibration. High accuracy and rate of error‐convergence, in the mid‐frequency regime,is achieved by the use of hp‐finite and infinite element approximations. The infrastructure supports parallel computation in both single and multi‐frequency settings. Multi‐frequency solves utilize concurrent factoring of the frequency‐dependent linear algebraic systems and are naturally scalable. Scalability of large‐scale single‐frequency problems is realized by using FETI‐DP—an iterative domain‐decomposition scheme.
Numerical examples are presented to cover applications in vibratory response of fluid‐filled elastic structures as well as radiation and scattering from elastic structures submerged in an infinite acoustic medium. We demonstrate both the numerical accuracy as well as parallel scalability of the infrastructure in terms of problem parameters that include wavenumber and number of frequencies, polynomial degree of finite/infinite element approximations as well as the number of processors. Scalability and accuracy is evaluated for both single and multiple frequency sweeps on four high‐performance parallel computing platforms: SGI Altix, SGI Origin, IBM p690 SP and Linux‐cluster. Results show good performance on shared as well as distributed‐memory architecture. Copyright © 2006 John Wiley & Sons, Ltd. |
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| Bibliographie: | ONR ark:/67375/WNG-ZXRRL6G4-X istex:5CA7B57C1129CFA232C9F5228EE961BFAAC90802 ArticleID:NME1730 NASA Naval Research Laboratory - No. 7130 DoD-High Performance Computing Modernization Program ARL ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| ISSN: | 0029-5981 1097-0207 |
| DOI: | 10.1002/nme.1730 |