Abstract
Vortex structures, detected by the existing popular vortex identification methods, of the same case are generally different if the results are measured by different observers, who are moving with different coordinate systems. These coordinate systems can be inertial or non-inertial. Galilean invariance can solve the moving observer problems in different inertial coordinate systems. A variable is invariant under Galilean transformation is called Galilean invariant. Galilean invariant vortex identification methods can provide invariant vortex structures based on different inertial observers. However, for some situations, the observers are non-inertial, e.g., the observer is sitting on an aircraft which is accelerating or rotating. In such a situation, it requires to use an objective method. Objectivity represents a property that one variable is not observer-dependent (the observer’s motion can be either inertial or non-inertial). A strategy based on a zero-vorticity (measured in inertial frame) reference point is proposed in this letter to find the objective vortex structure. Liutex is chosen as the vortex indicator and two numerical examples are used to test the proposed strategy. The results show that the strategy is effective.
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References
Landau L. D. L., Lifshitz E. M. The classical theory of fields [M]. Oxford, UK: Pergamon Press, 1975.
Waleffe F. Exact coherent structures in channel flow [J]. Journal of Fluid Mechanics, 2001, 435: 93–102.
Mellibovsky F., Eckhardt B. From travelling waves to mild chaos: A supercritical bifurcation cascade in pipe flow [J]. Journal of Fluid Mechanics, 2012, 709: 149–150.
Kreilos T., Zammert S., Eckhardt B. Comoving frames and symmetry-related motions in parallel shear flows [J]. Journal of Fluid Mechanics, 2014, 751: 685–697.
Lugt H. J. The dilemma of defining a vortex [M]. Heidelberg, Berlin, Germany: Springer, 1979.
Drouot R. Définition d’un transport associé à un modèle de fluide du deuxième ordre. Comparaison de diverses lois de comportement [J]. Comptes rendus de l’Académie des Sciences, Série A, 1976, 282: 923–926.
Haller G., Hadjighasem A., Farazmand M. et al. Defining coherent vortices objectively from the vorticity [J]. Journal of Fluid Mechanics, 2016, 795: 136–173.
Martins R. S., Pereira A. S., Mompean G. et al. An objective perspective for classic flow classification criteria [J]. Comptes Rendus Mecanique, 2016, 344: 52–59.
Liu J. M., Gao Y. S., Wang Y. Q. et al. Objective Omega vortex identification method [J]. Journal of Hydrodynamics, 2019, 31(3): 455–463.
Liu C., Gao Y., Tian S. et al. Rortex-A new vortex vector definition and vorticity tensor and vector decompositions [J]. Physics of Fluids, 2018, 30(3): 035103.
Gao Y., Liu C. Rortex and comparison with eigenvalue-based vortex identification criteria [J]. Physics of Fluids, 2018, 30(8): 085107.
Wang Y. Q., Gao Y. S., Xu H. et al. Liutex theoretical system and six core elements of vortex identification [J]. Journal of Hydrodynamics, 2020, 32(2): 197–211.
Liu J., Liu C. Modified normalized Rortex/vortex identification method [J]. Physics of Fluids, 2019, 31(6): 061704.
Liu C., Gao Y. S., Dong X. R. et al. Third generation of vortex identification methods: Omega and Liutex/Rortex based systems [J]. Journal of Hydrodynamics, 2019, 31(2): 205–223.
Wang Y. Q., Gao Y. S., Liu J. M. et al. Explicit formula for the Liutex vector and physical meaning of vorticity based on the Liutex-Shear decomposition [J]. Journal of Hydrodynamics, 2019, 31(3): 464–474.
Gao Y. S., Liu J. M., Yu Y. et al. A Liutex based definition and identification of vortex core center lines [J]. Journal of Hydrodynamics, 2019, 31(3): 445–454.
Wang Y., Gao Y., Liu C. Letter: Galilean invariance of Rortex [J]. Physics of Fluids, 2018, 30(11): 111701.
Wang Y., Yang Y., Yang G. et al. DNS study on vortex and vorticity in late boundary layer transition [J]. Communications in Computational Physics, 2017, 22(2): 441–459.
Yan Y., Chen L., Li Q. et al. Numerical study of microramp vortex generator for supersonic ramp flow control at Mach 2.5 [J]. Shock Waves, 2017, 27: 79–96.
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The authors acknowledge the financial support from UTA Mathematics Department and are grateful to Texas Advanced Computation Center (TACC) for providing computing resources.
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Biography: Yifei Yu (1996–), Male, Ph. D. Candidate
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Yu, Y., Wang, Yq. & Liu, C. A letter for objective Liutex. J Hydrodyn 34, 965–969 (2022). https://doi.org/10.1007/s42241-022-0064-x
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DOI: https://doi.org/10.1007/s42241-022-0064-x