Diagnosis of vortex induced vibration of a gravity damper
| 1 | Università degli Studi Guglielmo Marconi |
| 2 | Università degli Studi di Perugia |
| 3 | University of Perugia - Department of Engineering |
CORRESPONDING AUTHOR
Davide Astolfi
University of Perugia - Department of Engineering, Via G. Duranti 93, 06125 Perugia, Italy
University of Perugia - Department of Engineering, Via G. Duranti 93, 06125 Perugia, Italy
Submission date: 2018-01-08
Acceptance date: 2018-03-09
Online publication date: 2018-03-11
Publication date: 2018-06-11
Diagnostyka 2018;19(2):31–39
KEYWORDS
TOPICS
ABSTRACT
A gravity damper is a one-way valve, employed for regulating the airflow rate in ducts, generally constituted by a series of rectangular panels (closure sections), connected to an articulated quadrilateral synchronizing the movements. If the device needs to process large masses of high speed air, as common in the case of energy conversion systems, disadvantageous dynamic effects can occur. In this study, vortex-induced vibration (VIV), occurring on a gravity damper for high values of the Reynolds number, is investigated. The analysis of this work couples numerical methods (Computational Fluid Dynamics with Large-Eddy Simulation turbulence model and Finite Element Method) to experiments: a full-scale accelerometric measurement campaign is actually performed at the wind tunnel facilities of the University of Perugia. VIVs are diagnosed and quantified through the experimental vibration analysis, which is interpreted through numerical simulations. The large amplitude of VIV is interpreted as due to a tendency towards lock-in because of the approaching of the vortex shedding frequency to a natural vibration mode of the system. The integrated numerical and experimental framework finally inspires two different design solutions for mitigating the amplitude of VIV: these strategies are tested at the wind tunnel and they are indeed shown to be effective.
REFERENCES (28)
1.
Bearman PW. Vortex shedding from oscillating bluff bodies. Annual review of fluid mechanics, 1984, 16(1):195–222. https://doi.org/10.1146/annure....
2.
Griffin O, Skop R, Koopmann G. The vortex-excited resonant vibrations of circular cylinders. Journal of Sound and Vibration, 1973, 31(2):235–249. https://doi.org/10.1016/S0022-....
3.
Blackburn H, Henderson R. Lock-in behavior in simulated vortex-induced vibration. Experimental Thermal and Fluid Science, 1996; 12(2):184–189. https://doi.org/10.1016/0894-1....
4.
Paidoussis MP, Price SJ, De Langre E. Fluid-structure interactions: cross-flow-induced instabilities. Cambridge University Press 2010.
5.
Constantinides Y, Oakley OH, Numerical prediction of bare and straked cylinder viv. In 25th International Conference on Offshore Mechanics and Arctic Engineering, American Society of Mechanical Engineers; 2006:745–753. https://doi.org/10.1115/OMAE20....
6.
Pan Z, Cui W, Miao Q. 2007. Numerical simulation of vortex-induced vibration of a circular cylinder at low mass-damping using rans code. Journal of Fluids and Structures, 2007;23(1):23–37. https://doi.org/10.1016/j.jflu....
7.
Zhao M, Cheng L. Numerical simulation of vortex-induced vibration of four circular cylinders in a square configuration. Journal of Fluids and Structures, 2012; 31: 125–140. https://doi.org/10.1016/j.jflu....
8.
Murakami S, Mochida A. On turbulent vortex shedding flow past 2d square cylinder predicted by cfd. Journal of Wind Engineering and Industrial Aerodynamics, 1995; 54:191–211. https://doi.org/10.1016/0167-6....
9.
Rodi W. Comparison of les and rans calculations of the flow around bluff bodies. Journal of wind engineering and industrial aerodynamics, 1997;69: 55–75. https://doi.org/10.1016/S0167-....
10.
Catalano P, Wang M, Iaccarino G, Moin P. Numerical simulation of the flow around a circular cylinder at high reynolds numbers. International Journal of Heat and Fluid Flow, 2003;24(4):463–469. https://doi.org/10.1016/S0142-....
11.
Bouris D, Bergeles G. 2d les of vortex shedding from a square cylinder. Journal of Wind Engineering and Industrial Aerodynamics, 1999;80(1):31–46. https://doi.org/10.1016/S0167-....
12.
Ong MC, Utnes T, Holmedal LE, Myrhaug D, Pettersen B. Numerical simulation of flow around a smooth circular cylinder at very high reynolds numbers. Marine Structures, 2009;22(2):142–153. https://doi.org/10.1016/j.mars....
13.
Segalini A, Talamelli A. Experimental analysis of dominant instabilities in coaxial jets”. Physics of fluids, 2011 23(2): 024103. https://doi.org/10.1063/1.3553....
14.
Flamand O, De Oliveira F, Stathopoulos-Vlamis A, Papanikolas P. Conditions for occurrence of vortex shedding on a large cable stayed bridge: Full scale data from monitoring system. Journal of Wind Engineering and Industrial Aerodynamics, 2014; 135: 163–169. https://doi.org/10.1016/j.jwei....
15.
Li H, Laima S, Ou J, Zhao X, Zhou W, Yu Y, Li N, Liu Z. Investigation of vortex-induced vibration of a suspension bridge with two separated steel box girders based on field measurements. Engineering Structures, 2011;33(6):1894–1907. https://doi.org/10.1016/j.engs....
16.
Molinari M, Pozzi M, Zonta D, Battisti L. In-field testing of a steel wind turbine tower. In Structural Dynamics and Renewable Energy, Volume 1. Springer, 2011: 103–112.
17.
Mukundan H, Modarres-Sadeghi Y, Dahl JM, Hover FS, Triantafyllou MS. Monitoring viv fatigue damage on marine risers. Journal of Fluids and structures, 2009;25(4): 617–628. https://doi.org/10.1016/j.jflu....
18.
Marcollo H, Hinwood J. On shear flow single mode lock-in with both cross-flow and in-line lock-in mechanisms. Journal of Fluids and structures 2006;22(2): 197–211. https://doi.org/10.1016/j.jflu....
19.
Diana G, Fiammenghi G, Belloli M, Rocchi, D. Wind tunnel tests and numerical approach for long span bridges: the messina bridge. Journal of Wind Engineering and Industrial Aerodynamics, 2013; 122: 38–49. https://doi.org/10.1016/j.jwei....
20.
Scappaticci L, Mariani F, Bartolini N, Risi F, Garinei A. Dynamic effects of wind loads on a gravity damper. Procedia Engineering, 2015;109:162–170. https://doi.org/10.1016/j.proe....
21.
Kleissl J. Field experimental study of the Smagorinsky model and application to large eddy simulation. 2004.
22.
Kobayashi T. Large eddy simulation for engineering applications. Fluid dynamics research, 2006;38(2):84-107. https://doi.org/10.1016/j.flui....
23.
Nicoud F, Ducros F. Subgrid-scale stress modelling based on the square of the velocity gradient tensor. Flow, turbulence and Combustion, 1999;62(3): 183–200. https://doi/org/10.1023/A:1009....
24.
Dowell EH. Nonlinear oscillations of a fluttering plate. AIAA journal, 1966;4(7): 1267-1275. https://doi.org/10.2514/3.3658.
25.
Hunt JC, Wray AA, Moin P. Eddies, streams, and convergence zones in turbulent flows. In Studying Turbulence Using Numerical Simulation Databases, 2. Proceedings of the 1988 Summer Program, Stanford University, pp. 193–208.
26.
Mueller AA. Large Eddy Simulation of cross-flow around a square rod at incidence with application to tonal noise prediction. University of Twente. 2012.
27.
Welch P. The use of fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Transactions on audio and electroacoustics, 1967;15(2): 70–73. https://doi.org/10.1109/TAU.19....
28.
Laurantzon F, Örlü R, Segalini A, Alfredsson PH. Time-resolved measurements with a vortex flowmeter in a pulsating turbulent flow using wavelet analysis. Measurement Science and Technology, 2010; 21(12), 123001. https://doi.org/10.1088/0957-0....
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