On the Effect and Analysis of Fluid-Structural Mode Coupling

2021 ◽  
Author(s):  
Mani Sadeghi ◽  
Huan-Min Shang ◽  
Ming-Ta Yang ◽  
Eric Grover
1983 ◽  
Vol 20 (8) ◽  
pp. 696-702 ◽  
Author(s):  
Gerald D. Miller ◽  
John H. Wykes ◽  
Michael J. Brosnan

Author(s):  
Mani Sadeghi ◽  
Ming-Ta Yang ◽  
Huan-Min Shang ◽  
Eric Grover

Abstract The consideration of aeromechanics plays a vital role in the design of machines that operate under aerodynamic forces, such as turbomachinery, and aircraft. The structure of those machines is subject to aeromechanical dynamics, including forced response and flutter. The strength of aeromechanical interaction depends on the level of coupling between flow and structure. One effect that can lead to strong coupling is the interaction between eigenmodes of the structure and eigenmodes of the flow near coincidence. This paper examines the impact of modal coincidence on the linear dynamic stability of aeromechanical systems for two illustrative canonical examples, one governed by inviscid acoustics, and one by the eigenmode of a wake. Three commonly used analysis techniques are applied and ranked for various levels of coupling: The 1-way coupled work-per-cycle method, a 2-way coupled non-linear modal FSI analysis in time, and an eigenanalysis of the 2-way coupled linear system, based on a state-space representation. It is demonstrated that all three methods agree for low to moderate levels of 2-way coupling, typical in turbomachinery applications. At higher levels, the work-per-cycle assessment is insufficient, whereas the FSI and eigenvalue analysis agree well.


2001 ◽  
Vol 123 (13) ◽  
pp. 3055-3063 ◽  
Author(s):  
Vitali Tugarinov ◽  
Zhichun Liang ◽  
Yury E. Shapiro ◽  
Jack H. Freed ◽  
Eva Meirovitch

2002 ◽  
Vol 315 (2) ◽  
pp. 155-170 ◽  
Author(s):  
Vitali Tugarinov ◽  
Yury E. Shapiro ◽  
Zhichun Liang ◽  
Jack H. Freed ◽  
Eva Meirovitch

1998 ◽  
Vol 77 (2) ◽  
pp. 305-311 ◽  
Author(s):  
Thomas Scheidsteger, Rolf Schilling

Author(s):  
Ali Kutay ◽  
Kilsoo Kim ◽  
Jonathan Muse ◽  
Anthony Calise ◽  
Rajeev Chandramohan

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