Toward a multifrequency quasi-static Ritz vector method for frequency-dependent acoustic system application
- Authors
- Yoon, Gil Ho
- Issue Date
- Mar-2012
- Publisher
- John Wiley & Sons Inc.
- Keywords
- model reduction method; multifrequency quasi-static Ritz vector method; acoustic; Ritz vector method; quasi-static Ritz vector method
- Citation
- International Journal for Numerical Methods in Engineering, v.89, no.11, pp 1451 - 1470
- Pages
- 20
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- International Journal for Numerical Methods in Engineering
- Volume
- 89
- Number
- 11
- Start Page
- 1451
- End Page
- 1470
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166163
- DOI
- 10.1002/nme.3301
- ISSN
- 0029-5981
1097-0207
- Abstract
- Computational issues concerning the calculation of acoustic responses of a complex finite element (FE) model for various noise and vibration inputs have become prevalent. Such a model requires a significant amount of computation time because of repeated inversions of dynamic stiffness matrices. Thus, even state-of-the-art computer hardware and software often face limitations where a model order reduction (MOR) scheme can help. The established MOR schemes such as Ritz vector or quasi-static Ritz vector methods are efficient for general engineering systems, but these MOR methods become inaccurate for frequency response analyses in some acoustic systems with frequency-dependent mass and stiffness matrices and force vectors (hereinafter frequency-dependent acoustic systems). To cope with the inaccurate prediction by these methods for frequency-dependent acoustic systems, this research presents and applies the multifrequency quasi-static Ritz vector method. Unlike the Ritz vector or quasi-static Ritz vector methods, the present multifrequency quasi-static Ritz vector method employs direct Krylov subspace bases without an orthonormal procedure at multiple center frequencies. In comparison with the existing MOR scheme, a significant gain in computational efficiency is achieved, as well as enhanced accuracy. A comparison of these methods based on criteria such as efficiency, accuracy, and reliability was also conducted.
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