Log in

Resolvent analysis of swirling turbulent jets

  • Original Article
  • Published:
Theoretical and Computational Fluid Dynamics Aims and scope Submit manuscript

Abstract

This study explores coherent structures in a swirling turbulent jet. Stationary axisymmetric solutions of the Reynolds–Averaged Navier–Stokes equations at \(Re=200,000\) were obtained using an open source computational fluid dynamics code and the Spalart–Allmaras eddy viscosity model. Then, resolvent analysis with the same eddy viscosity field provided coherent structures of the turbulent fluctuations on the base flow. As in many earlier studies, a large gain separation is identified between the optimal and sub-optimal resolvent modes, permitting a focus on the most amplified response mode and its corresponding optimal forcing. At zero swirl, the results indicate that the jet’s coherent response is dominated by axisymmetric (\(m=0\)) structures, which are driven by the usual Kelvin–Helmholtz shear amplification mechanism. However, as swirl is increased, different coherent structures begin to dominate the response. For example, double and triple spiral (\(|m|=2\) and \(|m|=3\)) modes are identified as the dominant structures when the axial and azimuthal velocity maxima of the base flow are comparable. In this case, distinct co- and counter-rotating \(|m|=2\) modes experience vastly different degrees of amplification. The physics of this selection process involve several amplification mechanisms contributing simultaneously in different regions of the mode. This is analysed in more detail by comparing the alignment between the wavevector of the dominant response mode and the principal shear direction of the base flow. Additional discussion also considers the development of structures along the exterior of the jet nozzle.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19

Similar content being viewed by others

References

  1. Abreu, L.I., et al.: Resolvent modelling of near-wall coherent structures in turbulent channel flow. Int. J. Heat Fluid Flow 85, 108662 (2020). https://doi.org/10.1016/j.ijheatfluidflow.2020.108662

    Article  Google Scholar 

  2. Alnæs, M., et al.: Unified form language: a domain-specific language for weak formulations of partial differential equations. ACM Trans. Math. Softw. 40(2), 9:1-9:37 (2014). https://doi.org/10.1145/2566630

    Article  MathSciNet  Google Scholar 

  3. Amestoy, P.R., Duff, I.S., et al.: A fully asynchronous multifrontal solver using distributed dynamic scheduling. SIAM J. Matrix Anal. Appl. 23(1), 15–41 (2001)

    Article  MathSciNet  Google Scholar 

  4. Amestoy, P.R., Guermouche, A., et al.: Hybrid scheduling for the parallel solution of linear systems. Parallel Comput. 32(2), 136–156 (2006)

    Article  MathSciNet  Google Scholar 

  5. Balay, S., Abhyankar, S., et al.: PETSc/TAO Users Manual. Tech. rep. ANL-21/39 - Revision 3.19. Argonne National Laboratory (2023)

  6. Balay, S., Gropp, W., et al.: Efficient management of parallelism in object oriented numerical software libraries. In: Arge, E., Bruaset, A.M., Langtangen, H.P. (eds.) Modern Software Tools in Scientific Computing, pp. 163–202. Birkhäuser Press, Basel, CH (1997)

    Chapter  Google Scholar 

  7. Balay, S., Abhyankar, S., et al.: PETSc Web page. https://petsc.org/ (2023)

  8. Batchelor, G.K., Gill, A.E.: Analysis of the stability of axisymmetric jets. J. Fluid Mech. 14(4), 529–551 (1962). https://doi.org/10.1017/S0022112062001421

    Article  MathSciNet  Google Scholar 

  9. Beneddine, S., et al.: Conditions for validity of mean flow stability analysis. J. Fluid Mech. 798, 485–504 (2016). https://doi.org/10.1017/jfm.2016.331

    Article  MathSciNet  Google Scholar 

  10. Billant, P., Chomaz, J.M., Huerre, P.: Experimental study of vortex breakdown in swirling jets. J. Fluid Mech. 376, 183–219 (1998). https://doi.org/10.1017/S0022112098002870

    Article  MathSciNet  Google Scholar 

  11. Billant, P., Gallaire, F.: Generalized Rayleigh criterion for non-axisymmetric centrifugal instabilities. J. Fluid Mech. 542, 365–379 (2005). https://doi.org/10.1017/S0022112005006464

    Article  MathSciNet  Google Scholar 

  12. Billant, P., Gallaire, F.: A unified criterion for the centrifugal instabilities of vortices and swirling jets. J. Fluid Mech. 734, 5–35 (2013). https://doi.org/10.1017/jfm.2013.460

    Article  MathSciNet  Google Scholar 

  13. Bodony, D.J., Fikl, A., Murthy S.: Adjoint-based sensitivity of shock-laden flows. In: 15th Ercoftac. Progress in Flow Instability, Transition and Control (2023)

  14. Boyd, J.P.: Chebyshev and Fourier Spectral Methods: Second Revised Edition. Google-Books-ID: i9UoAwAAQBAJ. Courier Corporation (2001)

  15. Chevalier, Q.: Coherent structures in turbulent flows, Ph.D. thesis. Institut Polytechnique doctoral school (2023)

  16. Chevalier, Q., Lutz, L., Cavalieri, A.V.: A second-order resolvent formulation for the analysis of turbulent flow structures. Comptes Rendus. Mécanique 351(G2), 355–371 (2023). https://doi.org/10.5802/crmeca.193

    Article  Google Scholar 

  17. Dalcin, L., et al.: Parallel distributed computing using Python. Adv. Water Resour. New Comput. Methods Softw. Tools 34(9), 1124–1139 (2011). https://doi.org/10.1016/j.advwatres.2011.04.013

    Article  Google Scholar 

  18. Douglas, C.M., Emerson, B.L., Lieuwen, T.C.: Nonlinear dynamics of fully developed swirling jets. J. Fluid Mech. 924, A14 (2021). https://doi.org/10.1017/jfm.2021.615

    Article  MathSciNet  Google Scholar 

  19. Drazin, P.G., Reid, W.H.: Hydrodynamic Stability. Cambridge University Press, Cambridge (1982)

    Google Scholar 

  20. Duck, P.W.: The inviscid stability of swirling flows: large wavenumber disturbances. Z. Angew. Math. Phys. 37(3), 340–360 (1986). https://doi.org/10.1007/BF00946755

    Article  MathSciNet  Google Scholar 

  21. Ellingsen, T., Palm, E., et al.: Stability of linear flow. Phys. Fluids 18(4), 487–488 (1975). https://doi.org/10.1063/1.861156

    Article  Google Scholar 

  22. Emanuel, K.A.: A note on the stability of columnar vortices. J. Fluid Mech. 145, 235–238 (1984). https://doi.org/10.1017/S0022112084002895

    Article  Google Scholar 

  23. Gallaire, F., Rott, S., Chomaz, J.-M.: Experimental study of a free and forced swirling jet. Phys. Fluids 16(8), 2907–2917 (2004). https://doi.org/10.1063/1.1758171

    Article  Google Scholar 

  24. Gallaire, F., Chomaz, J.-M.: Instability mechanisms in swirling flows. Phys. Fluids 15(9), 2622–2639 (2003). https://doi.org/10.1063/1.1589011

    Article  MathSciNet  Google Scholar 

  25. Gallaire, F., Chomaz, J.-M.: Mode selection in swirling jet experiments: a linear stability analysis. J. Fluid Mech. 494, 223–253 (2003). https://doi.org/10.1017/S0022112003006104

    Article  MathSciNet  Google Scholar 

  26. Garnaud, X.: Modes, transient dynamics and forced response of circular jets. Ph.D. thesis. Ecole Polytechnique X (2012)

  27. Garnaud, X., et al.: The preferred mode of incompressible jets: linear frequency response analysis. J. Fluid Mech. 716, 189–202 (2013). https://doi.org/10.1017/jfm.2012.540

    Article  MathSciNet  Google Scholar 

  28. Geuzaine, C., Remacle, J.F.: Gmsh: a 3-D finite element mesh generator with built-in pre- and post-processing facilities. Int. J. Numer. Methods Eng. 79(11), 1309–1331 (2009). https://doi.org/10.1002/nme.2579

    Article  MathSciNet  Google Scholar 

  29. Hernandez, V., Roman, J.E., Vidal, V.: SLEPc: a scalable and flexible toolkit for the solution of eigenvalue problems. ACM Trans. Math. Softw. 31(3), 351–362 (2005). https://doi.org/10.1145/1089014.1089019

    Article  MathSciNet  Google Scholar 

  30. Howard, L.N., Gupta, A.S.: On the hydrodynamic and hydromagnetic stability of swirling flows. J. Fluid Mech. 14(3), 463–476 (1962). https://doi.org/10.1017/S0022112062001366

    Article  MathSciNet  Google Scholar 

  31. Khorrami, M.R.: On the viscous modes of instability of a trailing line vortex. J. Fluid Mech. 225, 197–212 (1991). https://doi.org/10.1017/S0022112091002021

    Article  Google Scholar 

  32. Khorrami, M.R.: Stability of a compressible axisymmetric swirling jet. AIAA J. 33(4), 650–658 (1995). https://doi.org/10.2514/3.12627

    Article  Google Scholar 

  33. Leibovich, S., Stewartson, K.: A sufficient condition for the instability of columnar vortices. J. Fluid Mech. 126, 335–356 (1983). https://doi.org/10.1017/S0022112083000191

    Article  MathSciNet  Google Scholar 

  34. Lessen, Martin, Paillet, F.: The stability of a trailing line vortex. Part 2. Viscous theory. J. Fluid Mech. 65(4), 769–779 (1974). https://doi.org/10.1017/S0022112074001649

    Article  Google Scholar 

  35. Lessen, M., Singh, P.J., Paillet, F.: The stability of a trailing line vortex. Part 1. Inviscid theory. J. Fluid Mech. 63(4), 753–763 (1974). https://doi.org/10.1017/S0022112074002175

    Article  Google Scholar 

  36. Lesshafft, L., et al.: Resolvent-based modelling of coherent wave packets in a turbulent jet. Phys. Rev. Fluids 4(6), 063901 (2019)

    Article  Google Scholar 

  37. Liang, H., Maxworthy, T.: An experimental investigation of swirling jets. J. Fluid Mech. 525, 115–159 (2005). https://doi.org/10.1017/S0022112004002629

    Article  Google Scholar 

  38. Loiseleux, T., Chomaz, J.-M., Huerre, P.: The effect of swirl on jets and wakes: linear instability of the Rankine vortex with axial flow. Phys. Fluids 10(5), 1120–1134 (1998). https://doi.org/10.1063/1.869637

    Article  MathSciNet  Google Scholar 

  39. Loiseleux, T., Delbende, I., Huerre, P.: Absolute and convective instabilities of a swirling jet/wake shear layer. Phys. Fluids 12(2), 375–380 (2000). https://doi.org/10.1063/1.870315

    Article  MathSciNet  Google Scholar 

  40. Lu, G., Lele, S.K.: Inviscid instability of compressible swirling mixing layers. Phys. Fluids 11(2), 450–461 (1999). https://doi.org/10.1063/1.869861

    Article  MathSciNet  Google Scholar 

  41. Manoharan, K., et al.: A weakly nonlinear analysis of the processing vortex core oscillation in a variable swirl turbulent round jet. J. Fluid Mech. 884, A29 (2020). https://doi.org/10.1017/jfm.2019.903

    Article  Google Scholar 

  42. Martin, J.E., Meiburg, E.: Numerical investigation of three dimensionally evolving jets under helical perturbations. J. Fluid Mech. 243(1), 457 (1992). https://doi.org/10.1017/S0022112092002787

    Article  Google Scholar 

  43. Martin, J.E., Meiburg, E.: On the stability of the swirling jet shear layer. Phys. Fluids 6(1), 424–426 (1994). https://doi.org/10.1063/1.868041

    Article  Google Scholar 

  44. Martin, J.E., Meiburg, E.: The nonlinear evolution of swirling jets. Meccanica 29(4), 331–341 (1994). https://doi.org/10.1007/BF00987568

    Article  MathSciNet  Google Scholar 

  45. Martin, J.E., Meiburg, E.: Nonlinear axisymmetric and three-dimensional vorticity dynamics in a swirling jet model. Phys. Fluids 8(7), 1917–1928 (1996). https://doi.org/10.1063/1.868971

    Article  Google Scholar 

  46. Martin, J.E., Meiburg, E.: The growth and nonlinear evolution of helical perturbations in a swirling jet model. Eur. J. Mech. B Fluids 17(4), 639–651 (1998). https://doi.org/10.1016/S0997-7546(98)80017-4

    Article  Google Scholar 

  47. Meliga, P., Gallaire, F., Chomaz, J.-M.: A weakly nonlinear mechanism for mode selection in swirling jets. J. Fluid Mech. 699, 216–262 (2012). https://doi.org/10.1017/jfm.2012.93

    Article  MathSciNet  Google Scholar 

  48. Moise, P., Mathew, J.: Hysteresis and turbulent vortex breakdown in transitional swirling jets. J. Fluid Mech. 915, A94 (2021). https://doi.org/10.1017/jfm.2021.118

    Article  MathSciNet  Google Scholar 

  49. Montagnani, D., Auteri, F.: Non-modal analysis of coaxial jets. J. Fluid Mech. 872, 665–696 (2019). https://doi.org/10.1017/jfm.2019.356

    Article  MathSciNet  Google Scholar 

  50. Morra, P., Nogueira, P.A.S., et al.: The colour of forcing statistics in resolvent analyses of turbulent channel flows. J. Fluid Mech. (2021). https://doi.org/10.1017/jfm.2020.802

    Article  MathSciNet  Google Scholar 

  51. Morra, P., Semeraro, O., et al.: Resolvent analysis: With or without eddy viscosity? ERCOFTAC Bull. 118, 20 (2019)

    Google Scholar 

  52. Nogueira, P.A.S., et al.: Large-scale streaky structures in turbulent jets. J. Fluid Mech. 873, 211–237 (2019). https://doi.org/10.1017/jfm.2019.365

    Article  Google Scholar 

  53. Nogueira, P.A. S., et al.: Forcing statistics in resolvent analysis: application in minimal turbulent Couette flow. ar**v:2001.02576 [physics]. (visited on 11/06/2020) (2020)

  54. Oberleithner, K., Paschereit, C.O., Wygnanski, I.: On the impact of swirl on the growth of coherent structures. J. Fluid Mech. 741, 156–199 (2014). https://doi.org/10.1017/jfm.2013.669

    Article  MathSciNet  Google Scholar 

  55. Panda, J., McLaughlin, D.K.: Experiments on the instabilities of a swirling jet. Phys. Fluids 6(1), 263–276 (1994). https://doi.org/10.1063/1.868074

    Article  Google Scholar 

  56. Pickering, E., et al.: Lift-up, Kelvin-Helmholtz and Orr mechanisms in turbulent jets. J. Fluid Mech. 896, A2 (2020). https://doi.org/10.1017/jfm.2020.301

    Article  MathSciNet  Google Scholar 

  57. Rayleigh, L.: On the dynamics of revolving fluids on JSTOR. In: Proceedings of the Royal Society of London, vol. 93. Containing Papers of a Mathematical and Physical Character A. Royal Society, London, pp. 148–154 (1917)

  58. Rayleigh, L.: On the question of the stability of the flow of fluids. Lond. Edinb. Dublin Philos. Mag. J. Sci. 34(206), 59–70 (1892). https://doi.org/10.1080/14786449208620167

    Article  Google Scholar 

  59. Roman, J.E., et al.: SLEPc Users Manual. Tech. rep. DSIC-II/24/02-Revision 3.20. D. Sistemes Informatics i Computació, Universitat Politecnica de Valencia (2023)

  60. Schmid, P.J.: Nonmodal stability theory. Ann. Rev. Fluid Mech. 39(1), 129–162 (2007). https://doi.org/10.1146/annurev.fluid.38.050304.092139

    Article  MathSciNet  Google Scholar 

  61. Schmidt, O.T., et al.: Spectral analysis of jet turbulence. J. Fluid Mech. 855, 953–982 (2018). https://doi.org/10.1017/jfm.2018.675

    Article  MathSciNet  Google Scholar 

  62. Scroggs, M., Baratta, I., et al.: Basix: a runtime finite element basis evaluation library. J. Open Sour. Softw. 7(73), 3982 (2022). https://doi.org/10.21105/joss.03982

    Article  Google Scholar 

  63. Scroggs, M., Dokken, J., et al.: Construction of arbitrary order finite element degree-of-freedom maps on polygonal and polyhedral cell 35 meshes. ACM Trans. Math. Softw. 48(2), 18:1-18:23 (2022). https://doi.org/10.1145/3524456

    Article  Google Scholar 

  64. Semeraro, O., et al.: Modeling of coherent structures in a turbulent jet as global linear instability wave packets: theory and experiment. Int. J. Heat Fluid Flow 62, 24–32 (2016). https://doi.org/10.1016/j.ijheatfluidflow.2016.10.010

    Article  Google Scholar 

  65. Spalart, P., Allmaras, S.: A one-equation turbulence model for aerodynamic flows. In: 30th Aerospace Sciences Meeting and Exhibit, p. 439. American Institute of Aeronautics and Astronautics (1992). https://doi.org/10.2514/6.1992-439

  66. Synge, L.J.: The stability of heterogeneous liquids. Trans. R. Soc. Can. 27, 1 (1938)

    Google Scholar 

  67. Tempelmann, D., et al.: Swept wing boundary-layer receptivity to localized surface roughness. J. Fluid Mech. 711, 516–544 (2012). https://doi.org/10.1017/jfm.2012.405

    Article  MathSciNet  Google Scholar 

  68. The OpenFOAM Foundation (n.d.). https://openfoam.org/

  69. Towne, A., Schmidt, O.T., Colonius, T.: Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis. J. Fluid Mech. 847, 821–867 (2018)

    Article  MathSciNet  Google Scholar 

  70. Zhang, J., et al.: The PetscSF scalable communication layer. IEEE Trans. Parallel Distrib. Syst. 33(4), 842–853 (2022)

    Article  MathSciNet  Google Scholar 

Download references

Funding

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the CleanSky2 Joint Undertaking Grant Agreement No. 785303, and under the Marie Skłodowska-Curie Grant Agreement No. 899987. The first author has been supported by the Direction Générale de l’Armement. Results reflect only the authors’ view and none of the above are responsible for any use that may be made of the information it contains.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Quentin Chevalier.

Ethics declarations

Data availibility statement

The data used in this study may be requested from the authors.

Ethical approval

Not applicable.

Conflict of interest

The authors have no relevant financial or non-financial conflict of interest to disclose.

Additional information

Communicated by Kilian Oberleithner.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Validation case

In this section results from the code developed internally for the purposes of this study will be compared to known publications. The emphasis here is therefore proving the validity of design choices outlined in Sects. 2.12.2.1 and 2.3.2, not introducing new phenomena. To increase confidence in our model, reproductions of figure 3(a) and 7(a) of Meliga et al. [47], as well as figure 6.6 from Garnaud [26] were made. They will not be discussed here for the sake of brevity, but may be found in Chevalier [15].

The case considered instead is closer to the one described in Sect. 2.1, namely the non-swirling jet based on Pickering et al. [56]. To better compare with the reference, the nozzle was cut out and calculations performed on \(x\in [0;49]\). Figure 20 is to be compared with Fig. 4b of that work. This graph differs notably from its reference - gains are lower than expected, the peak of the \(m=0\) curve happens at a higher frequency, and the other curves have a marked increase before the expected monotonic decrease.

However, there are several points where our model substantially differs from the reference:

  • Base flows come from different methods—one is the result of a LES calculation, the other a RANS process,

  • Eddy viscosity models also differ, one being a length scale model and the other being the SA model—even though qualitatively similar, they vary by about a factor three.

Fig. 20
figure 20

Squared gains as a function of Strouhal number for a variety of azimuthal wavenumbers with no nozzle

A qualitative comparison of response and forcing modes was also done on Fig. 21, which is to be compared to figures 9(b) and (c) of Pickering et al. [56]. These structures are qualitatively very close to the reference, though somewhat shorter. This is probably due to a difference in the eddy viscosity used, which leads to different localised dam**. It can be observed that the eddy viscosity used in this study steadily increases with x whereas that of Pickering et al. [56] peaks and eventually decays.

Fig. 21
figure 21

Resolvent modes for \((m,St)\in \{0,1,3\}\times \{0.05,0.2,0.6\}\). Scaling is adjusted to facilitate comparaison to Pickering et al.[56]

Mesh refinement

As part of the validation process of the code used in this work, convergence with respect to mesh refinement was verified. In the usual manner, a very refined mesh was taken as reference, and it was checked that results do converge quickly to the fine mesh as the number of elements increases, see Fig. 22. Mesh refinement was also verified for fluctuations. Once more, this point will be omitted here and made available in Chevalier [16],

Fig. 22
figure 22

Velocity magnitude for a variety of slices at different number of elements

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chevalier, Q., Douglas, C.M. & Lesshafft, L. Resolvent analysis of swirling turbulent jets. Theor. Comput. Fluid Dyn. (2024). https://doi.org/10.1007/s00162-024-00704-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00162-024-00704-2

Keywords

Navigation