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A High Efficient Fluid-Structure Interaction Method for Flutter Analysis of Mistuned
- Source :
- Xibei Gongye Daxue Xuebao, Vol 36, Iss 5, Pp 856-864 (2018)
- Publication Year :
- 2018
- Publisher :
- The Northwestern Polytechnical University, 2018.
-
Abstract
- The time cost is very high by direct fluid-structure interaction method for mistuned bladed disk structures, so aerodynamic loads generally are ignored or treated as small perturbations in traditional flutter analysis. In order to analyze the flutter characteristics of mistuned blade rapidly and accurately, this paper presents an efficient fluid-structure interaction method based on aerodynamic reduced order model. system identification technology and two basic assumptions are used to build the unsteady aerodynamic reduced order model. Coupled the structural equations and the aerodynamic model in the state space, the flutter stability of mistuned bladed disk can be obtained by changing the structural parameters. For the STCF 4 example, the response calculated by this method agrees well with the results obtained by the direct CFD, but the computational efficiency is improved by nearly two orders of magnitude. This method is used to study the stiffness mistuned cascade system, and the stability characteristics of the system are obtained by calculating the eigenvalues of the aeroelastic matrix. The results show that the stiffness mistuning can significantly improve the flutter stability of the system, and also lead to the localization of the mode. The mistuning mode, mistuning amplitude and fluid structure interaction can influence the flutter stability obviously.
- Subjects :
- computational efficiency
business.industry
General Engineering
System identification
Stiffness
fluid-structure interaction
mistuned
TL1-4050
Aerodynamics
aeroelastic
Mistuning
Computational fluid dynamics
Aeroelasticity
flutter
Control theory
Fluid–structure interaction
medicine
Flutter
reduced order model
medicine.symptom
business
Mathematics
Motor vehicles. Aeronautics. Astronautics
Subjects
Details
- Language :
- Chinese
- ISSN :
- 26097125 and 10002758
- Volume :
- 36
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Xibei Gongye Daxue Xuebao
- Accession number :
- edsair.doi.dedup.....538601e813658ff6e716f35fecd91a3e