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Analysis of amplification mechanisms and cross-frequency interactions in nonlinear flows via the harmonic resolvent

Published online by Cambridge University Press:  12 August 2020

Alberto Padovan*
Affiliation:
Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ08540, USA
Samuel E. Otto
Affiliation:
Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ08540, USA
Clarence W. Rowley
Affiliation:
Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ08540, USA
*
Email address for correspondence: [email protected]

Abstract

We propose a framework that elucidates the input–output characteristics of flows with complex dynamics arising from nonlinear interactions between different time scales. More specifically, we consider a periodically time-varying base flow, and perform a frequency-domain analysis of periodic perturbations about this base flow. The response of these perturbations is governed by the harmonic resolvent, which is a linear operator similar to the harmonic transfer function introduced by Wereley (1991 Analysis and control of linear periodically time-varying systems, PhD thesis, Massachusetts Institute of Technology). This approach makes it possible to explicitly capture the triadic interactions that are responsible for the energy transfer between different time scales in the flow. For instance, perturbations at frequency $\omega$ are coupled with perturbations at frequency $\alpha$ through the base flow at frequency $\omega -\alpha$. We draw a connection with resolvent analysis, which is a special case of the harmonic resolvent when evaluated about a steady base flow. We show that the left and right singular vectors of the harmonic resolvent are the optimal response and forcing modes, which can be understood as full spatio-temporal signals that reveal space–time amplification characteristics of the flow. Finally, we illustrate the method on examples, including a three-dimensional system of ordinary differential equations and the flow over an airfoil at near-stall angle of attack.

Type
JFM Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

REFERENCES

Balay, S., Abhyankar, S., Adams, M. F., Brown, J., Brune, P., Buschelman, K., Dalcin, L., Dener, A., Eijkhout, V., Gropp, W. D. et al. 2019 PETSc users manual. Tech. Rep. ANL-95/11 - Revision 3.12. Argonne National Laboratory.Google Scholar
Deem, E., Cattafesta, L., Yao, H., Hemati, M., Zhang, H. & Rowley, C. 2018 Experimental implementation of modal approaches for reattachment of separated flows. 2018 AIAA Aerospace Science Meeting.CrossRefGoogle Scholar
Dušek, J., Gal, P. L. & Fraunié, P. 1994 A numerical and theoretical study of the first Hopf bifurcation in a cylinder wake. J. Fluid Mech. 264, 5980.CrossRefGoogle Scholar
Guckenheimer, J. & Holmes, P. 2002 Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields. Springer.Google Scholar
Halko, N., Martinsson, P. G. & Tropp, J. A. 2011 Finding structure with randomness: probabilistic algorithms for constructing approximate matrix decompositions. SIAM Rev. 53, 217288.CrossRefGoogle Scholar
Hernandez, V., Roman, J. E. & Vidal, V. 2005 SLEPc: a scalable and flexible toolkit for the solution of eigenvalue problems. ACM Trans. Math. Softw. 31 (3), 351362.CrossRefGoogle Scholar
Ho, C.-M. & Huang, L.-S. 1981 Subharmonics and vortex merging in mixing layers. J. Fluid Mech. 119, 443473.CrossRefGoogle Scholar
Jovanović, M. R. & Bamieh, B. 2005 Componentwise energy amplification in channel flows. J. Fluid Mech. 534, 145183.CrossRefGoogle Scholar
Jovanović, M. R. & Fardad, M. 2008 $H_2$ norm of linear time-periodic systems: a perturbation analysis. Automatica 44 (8), 20902098.CrossRefGoogle Scholar
Majda, A. J. & Timofeyev, I. 2000 Remarkable statistical behavior for truncated burgers-Hopf dynamics. Proc. Natl Acad. Sci. USA 97 (23), 1241312417.CrossRefGoogle ScholarPubMed
Marston, J. B., Chini, G. P. & Tobias, S. M. 2016 Generalized quasilinear approximation: application to zonal jets. Phys. Rev. Lett. 116, 214501.CrossRefGoogle ScholarPubMed
McKeon, B. J. & Sharma, A. S. 2010 A critical-layer framework for turbulent pipe flow. J. Fluid Mech. 658, 336382.CrossRefGoogle Scholar
Mittal, R., Kotapati, R. & Cattafesta, L. 2005 Numerical study of resonant interactions and flow control in a canonical separated flow. 43rd AIAA Aerospace Sciences Meeting and Exhibit, AIAA Paper 2005-1261.Google Scholar
Noack, B. R., Afanasiev, K., Morzynski, M., Tadmor, G. & Thiele, F. 2003 A hierarchy of low-dimensional models for the transient and post-transient cylinder wake. J. Fluid Mech. 497, 335363.CrossRefGoogle Scholar
Noack, B. R., Schlegel, M., Ahlborn, B., Mutschke, G., Morzyński, M., Comte, P. & Tadmor, G. 2008 A finite-time thermodynamics of unsteady fluid flows. J. Non-Equilib. Thermodyn. 33, 103148.Google Scholar
Rigas, G., Sipp, D. & Colonius, T. 2020 Non-linear input/output analysis: application to boundary layer transition. arXiv:2001.09440.Google Scholar
Schmid, P. J. & Henningson, D. S. 2001 Stability and Transition in Shear Flows. Springer.CrossRefGoogle Scholar
Shaabani-Ardali, L., Sipp, D. & Lesshafft, L. 2020 Optimal triggering of jet bifurcation: an example of optimal forcing applied to a time-periodic base flow. J. Fluid Mech. 885, A34.CrossRefGoogle Scholar
Sipp, D. & Lebedev, A. 2007 Global stability of base and mean flows: a general approach and its applications to cylinder and open cavity flows. J. Fluid Mech. 593, 333358.CrossRefGoogle Scholar
Stuart, J. T. 1958 On the non-linear mechanics of hydrodynamic stability. J. Fluid Mech. 4, 121.CrossRefGoogle Scholar
Symon, S., Rosenberg, K., Dawson, S. T. M. & McKeon, B. J. 2018 Non-normality and classification of amplification mechanisms in stability and resolvent analysis. Phys. Rev. Fluids 3, 053902.CrossRefGoogle Scholar
Taira, K. & Colonius, T. 2007 The immersed boundary method: a projection approach. J. Comput. Phys. 225, 21182137.CrossRefGoogle Scholar
Turton, S. E., Tuckerman, L. S. & Barkley, D. 2015 Prediction of frequencies in thermosolutal convection from mean flows. Phys. Rev. E 91 (4), 043009.CrossRefGoogle ScholarPubMed
Wereley, N. M. 1991 Analysis and control of linear periodically time varying systems. PhD thesis, Massachusetts Institute of Technology.Google Scholar