Abstract
This paper presents a new formulation of the coupled reduced-order modeling technique for fluid–structure interaction problems. The problem addressed here is a classical vibro-acoustic issue, which is a coupled vibration of an acoustic fluid in an elastic structure. Discretization of the problem yields a model having many degrees of freedom, which may impede rapid simulation and analysis. Projection-based model reduction is thus the most popular way to handle this problem. Conventionally, structure and fluid modes are independently employed to reduce their own degrees of freedom, and the Schur complement is then used to make a weak coupling between the two domains. In this work, we suggest a new coupled formulation to build a strong connection between the fluid and structure, which is mathematically a sequential projection from structure to fluid. The proposed strongly coupled formulation provides insight into the way that the structural vibration energy is transmitted to the fluid domain. Consequently, it can offer more precise reduced-order modeling of the fluid–structure interaction problems than conventional approaches. Numerical results herein demonstrate improved accuracy of the proposed method.
Original language | English |
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Pages (from-to) | 495-516 |
Number of pages | 22 |
Journal | Computer Methods in Applied Mechanics and Engineering |
Volume | 347 |
DOIs | |
Publication status | Published - 2019 Apr 15 |
Bibliographical note
Funding Information:This research was supported by the Basic Science Research Programs through the National Research Foundation of Korea funded by the Ministry of Science, ICT, and Future Planning ( NRF-2016R1A2B4013885 , NRF-2018R1A1A1A05078730 , NRF-2018K2A9A1A06069632 ).
Publisher Copyright:
© 2018 Elsevier B.V.
Keywords
- Component mode synthesis
- Fluid–structure interaction
- Reduced-order modeling
- Vibro-acoustic simulation
ASJC Scopus subject areas
- Computational Mechanics
- Mechanics of Materials
- Mechanical Engineering
- General Physics and Astronomy
- Computer Science Applications