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Practical concerns of implementing a finite-time Lyapunov exponent analysis with under-resolved data

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Abstract

Using Lagrangian techniques to find transport barriers in complex, aperiodic flows necessitates a careful consideration of the available dimensional support (3D versus 2D) and temporal resolution of the data to be analyzed, a particular challenge in experimental data acquisition. To illustrate and diagnose the detrimental effects that can manifest in the computed Lagrangian flow maps and Cauchy–Green strain tensor that are calculated as part of most Lagrangian coherent structure analyses, planar finite-time Lyapunov exponent (FTLE) fields are computed from analytically defined, experimentally collected, and numerically simulated velocity fields. The FTLE fields calculated using three-component, three-dimensional velocity information (3D FTLE) are compared with calculations using two-dimensional data considering only the in-plane velocities (2D FTLE), data that are typically gathered during fluid dynamics experiments. In some regions, where the vortex rotation axis is perpendicular to the plane of interest, the 2D FTLE may perform well. However, in regions where the vortex rotation axis has a non-zero component parallel to the plane of interest, whole structures can fail to be captured by the 2D FTLE. A quantitative analysis of the error in the 2D FTLE field as it relates to instantaneous vorticity deviation core angle is conducted using Hill’s spherical vortex and the wake of a bioinspired pitching panel. The effect of decreasing temporal resolution is studied using simulated 3D experiments of a fully turbulent channel flow, where the time resolution of the velocity data is artificially degraded. The resultant 3D FTLE fields progressively worsen with degrading velocity field temporal resolution by the visible elongation of coherent structures in the streamwise direction, indicative of the poorly resolved intermediate velocity fields. This effect can be mitigated with a simple method that invokes Taylor’s frozen eddy hypothesis. Both dimensional support and temporal resolution problems in experimental velocity fields can cause major errors in the resulting FTLE fields. With fundamental understanding about the flow field of interest, such as local vortex orientation or relevant length and time scales, some of the pitfalls may be avoided.

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References

  • Allshouse MR, Peacock T (2015) Refining finite-time Lyapunov exponent ridges and the challenges of classifying them. Chaos Interdiscip J Nonlinear Sci 25(8):087,410

    Article  MathSciNet  Google Scholar 

  • Balasuriya S, Ouellette NT, Rypina II (2018) Generalized Lagrangian coherent structures. Phys D Nonlinear Phenom 372:31–51

    Article  MathSciNet  Google Scholar 

  • Banisch R, Koltai P (2017) Understanding the geometry of transport: diffusion maps for Lagrangian trajectory data unravel coherent sets. Chaos Interdiscip J Nonlinear Sci 27(3):035,804

    Article  MathSciNet  Google Scholar 

  • Beron-Vera F, Olascoaga M, Goni G (2008) Oceanic mesoscale eddies as revealed by Lagrangian coherent structures. Geophys Res Lett 35:L12603

    Article  Google Scholar 

  • Beron-Vera FJ (2010) Mixing by low- and high-resolution surface geostrophic currents. J Geophys Res Oceans 115(C10):C006006

    Article  Google Scholar 

  • Blazevski D, Haller G (2014) Hyperbolic and elliptic transport barriers in three-dimensional unsteady flows. Phys D Nonlinear Phenom 273:46–62

    Article  MathSciNet  Google Scholar 

  • Bose C, Sarkar S (2018) Investigating chaotic wake dynamics past a flapping airfoil and the role of vortex interactions behind the chaotic transition. Phys Fluids 30(4):047,101

    Article  Google Scholar 

  • Bourgeois J, Sattari P, Martinuzzi R (2012) Coherent vortical and straining structures in the finite wall-mounted square cylinder wake. Int J Heat Fluid Flow 35:130–140 [7th symposium on turbulence and shear flow phenomena (TSFP7)]

    Article  Google Scholar 

  • BozorgMagham AE, Ross SD (2015) Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast uncertainty. Commun Nonlinear Sci Numer Simul 22(1):964–979

    Article  Google Scholar 

  • Chong MS, Perry AE, Cantwell BJ (1990) A general classification of three-dimensional flow fields. Phys Fluids A 2(5):765–777

    Article  MathSciNet  Google Scholar 

  • du Toit P, Marsden J (2010) Horseshoes in hurricanes. J Fixed Point Theory Appl 7:351–384. https://doi.org/10.1007/s11784-010-0028-6

    Article  MathSciNet  MATH  Google Scholar 

  • Froyland G, Padberg-Gehle K (2015) A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data. Chaos 25(8):087406

    Article  MathSciNet  Google Scholar 

  • Froyland G, Santitissadeekorn N, Monahan A (2010) Transport in time-dependent dynamical systems: finite-time coherent sets. Chaos Interdiscip J Nonlinear Sci 20(4):043116

    Article  MathSciNet  Google Scholar 

  • Green MA, Rowley CW, Haller G (2007) Detection of Lagrangian coherent structures in three-dimensional turbulence. J Fluid Mech 572:111–120

    Article  MathSciNet  Google Scholar 

  • Green MA, Rowley CW, Smits AJ (2011) The unsteady three-dimensional wake produced by a trapezoidal pitching panel. J Fluid Mech 685:117–145

    Article  Google Scholar 

  • Haller G (2002) Lagrangian coherent structures from approximate velocity data. Phys Fluids 14(6):1851–1861

    Article  MathSciNet  Google Scholar 

  • Haller G (2011) A variational theory of hyperbolic Lagrangian coherent structures. Phys D Nonlinear Phenom 240(7):574–598

    Article  MathSciNet  Google Scholar 

  • Haller G (2015) Lagrangian coherent structures. Annu Rev Fluid Mech 47:137–162

    Article  MathSciNet  Google Scholar 

  • Haller G, Hadjighasem A, Farazmand M, Huhn F (2016) Defining coherent vortices objectively from the vorticity. J Fluid Mech 795:136–173

    Article  MathSciNet  Google Scholar 

  • Hernández-Carrasco I, López C, Hernández-García E, Turiel A (2011) How reliable are finite-size Lyapunov exponents for the assessment of ocean dynamics? Ocean Model 36(3–4):208–218

    Article  Google Scholar 

  • Hill MJM (1894) On a spherical vortex. Philos Trans R Soc Lond (A) 185:213–245

    Article  Google Scholar 

  • Hunt JCR, Wray AA, Moin P (1988) Eddies, stream, and convergence zones in turbulent flows. Center for Turbulence Research Report CTR-S88

  • Jeong J, Hussein F (1995) On the identification of a vortex. J Fluid Mech 285:69–94

    Article  MathSciNet  Google Scholar 

  • Karrasch D, Haller G (2013) Do finite-size Lyapunov exponents detect coherent structures? Chaos Interdiscip J Nonlinear Sci 23(4):043,126

    Article  MathSciNet  Google Scholar 

  • Keating SR, Smith KS, Kramer PR (2011) Diagnosing lateral mixing in the upper ocean with virtual tracers: Spatial and temporal resolution dependence. J Phys Oceanogr 41(8):1512–1534

    Article  Google Scholar 

  • Kim J, Moin P, Moser R (1987) Turbulence statistics in fully developed channel flow at low Reynolds number. J Fluid Mech 177:133–166

    Article  Google Scholar 

  • King JT, Kumar R, Green MA (2018) Experimental observations of the three-dimensional wake structures and dynamics generated by a rigid, bioinspired pitching panel. Phys Rev Fluids 3(3):034,701

    Article  Google Scholar 

  • Kourentis L, Konstantinidis E (2011) Uncovering large-scale coherent structures in natural and forced turbulent wakes by combining PIV, POD, and FTLE. Exp Fluids 52(3):749–763

    Article  Google Scholar 

  • Kumar R, King JT, Green MA (2016) Momentum distribution in the wake of a trapezoidal pitching panel. Mar Technol Soc J 50(5):9–23

    Article  Google Scholar 

  • Kumar R, King JT, Green MA (2018) Three-dimensional pitching panel wake: Lagrangian analysis and momentum distribution from experiments. AIAA J. https://doi.org/10.2514/1.J056621

    Article  Google Scholar 

  • Leung S (2011) An Eulerian approach for computing the finite time Lyapunov exponent. J Comput Phys 230(9):3500–3524

    Article  MathSciNet  Google Scholar 

  • Leung S (2013) The backward phase flow method for the Eulerian finite time Lyapunov exponent computations. Chaos Interdiscip J Nonlinear Sci 23(4):043,132

    Article  MathSciNet  Google Scholar 

  • Miron P, Vétel J (2015) Towards the detection of moving separation in unsteady flows. J Fluid Mech 779:819–841

    Article  MathSciNet  Google Scholar 

  • Mulleners K, Raffel M (2011) The onset of dynamic stall revisited. Exp Fluids 52(3):779–793

    Article  Google Scholar 

  • O’Farrell C, Dabiri JO (2014) Pinch-off of non-axisymmetric vortex rings. J Fluid Mech 740:61–96

    Article  Google Scholar 

  • Olcay AB, Pottebaum TS, Krueger PS (2010) Sensitivity of Lagrangian coherent structure identification to flow field resolution and random errors. Chaos Interdiscip J Nonlinear Sci 20(1):017506

    Article  MathSciNet  Google Scholar 

  • Poje AC, Haza AC, Özgökmen TM, Magaldi MG, Garraffo ZD (2010) Resolution dependent relative dispersion statistics in a hierarchy of ocean models. Ocean Model 31(1–2):36–50

    Article  Google Scholar 

  • Rempel EL, Chian ACL, Brandenburg A, Muñoz PR, Shadden SC (2013) Coherent structures and the saturation of a nonlinear dynamo. J Fluid Mech 729:309–329

    Article  MathSciNet  Google Scholar 

  • Rockwood MP, Taira K, Green MA (2016) Detecting vortex formation and shedding in cylinder wakes using Lagrangian coherent structures. AIAA J 55:15–23

    Article  Google Scholar 

  • Shadden S, Lekien F, Marsden J (2005) Definition and properties of Lagrangian coherent structures from finite-time Lyapunov exponents in two-dimensinal aperiodic flows. Phys D 212:271–304

    Article  MathSciNet  Google Scholar 

  • Sulman MHM, Huntley HS, Lipphardt BL Jr, Kirwan AD Jr (2013) Leaving flatland: diagnostics for Lagrangian coherent structures in three-dimensional flows. Phys D Nonlinear Phenom 258:77–92

    Article  MathSciNet  Google Scholar 

  • Tang W, Walker P (2012) Finite-time statistics of scalar diffusion in Lagrangian coherent structures. Phys Rev E 86(4):045,201

    Article  Google Scholar 

  • Taylor GI (1938) The spectrum of turbulence. Proc R Soc Lond Ser A Math Phys Sci 164(919):476–490

    MATH  Google Scholar 

  • You G, Leung S (2018) An improved Eulerian approach for the finite time Lyapunov exponent. J Sci Comput 76(3):1407–1435

    Article  MathSciNet  Google Scholar 

  • Zhou J, Adrian RJ, Balachandar S, Kendall TM (1999) Mechanisms for generating coherent packets of hairpin vortices in channel flow. J Fluid Mech 387:353–396

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Steven Brunton for his contributions and conversations that fed into the content of this paper. This work was supported by the Air Force Office of Scientific Research under AFOSR Award no. FA9550-14-1-0210.

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Correspondence to Matthew P. Rockwood.

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Rockwood, M.P., Loiselle, T. & Green, M.A. Practical concerns of implementing a finite-time Lyapunov exponent analysis with under-resolved data. Exp Fluids 60, 74 (2019). https://doi.org/10.1007/s00348-018-2658-1

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