Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-24T00:50:27.970Z Has data issue: false hasContentIssue false

Triggering in the horizontal Rijke tube: non-normality, transient growth and bypass transition

Published online by Cambridge University Press:  25 November 2010

MATTHEW P. JUNIPER*
Affiliation:
Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK
*
Email address for correspondence: mpj1001@cam.ac.uk

Abstract

With a sufficiently large impulse, a thermoacoustic system can reach self-sustained oscillations even when it is linearly stable, a process known as triggering. In this paper, a procedure is developed to find the lowest initial energy that can trigger self-sustained oscillations, as well as the corresponding initial state. This is known as the ‘most dangerous’ initial state. The procedure is based on adjoint looping of the nonlinear governing equations, combined with an optimization routine. It is developed for a simple model of a thermoacoustic system, the horizontal Rijke tube, and can be extended to more sophisticated thermoacoustic models. It is observed that the most dangerous initial state grows transiently towards an unstable periodic solution before growing to a stable periodic solution. The initial energy required to trigger these self-sustained oscillations is much lower than the energy of the oscillations themselves and slightly lower than the lowest energy on the unstable periodic solution. It is shown that this transient growth arises due to non-normality of the governing equations. This is analogous to the sequence of events observed in bypass transition to turbulence in fluid mechanical systems and has the same underlying cause. The most dangerous initial state is calculated as a function of the heat-release parameter. It is found that self-sustained oscillations can be reached over approximately half the linearly stable domain. Transient growth in real thermoacoustic systems is 105–106 times greater than that in this simple model. One practical conclusion is that, even in the linearly stable regime, it may take very little initial energy for a real thermoacoustic system to trigger to high-amplitude self-sustained oscillations through the mechanism described in this paper.

Type
Papers
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Ananthkrishnan, N., Deo, S. & Culick, F. 2005 Reduced-order modeling and dynamics of nonlinear acoustic waves in a combustion chamber. Combust. Sci. Technol. 177, 221247.CrossRefGoogle Scholar
Ashwin, P. & Timme, M. 2005 Unstable attractors: existence and robustness in networks of oscillators with delayed pulse coupling. Nonlinearity 18 (5), 20352060.CrossRefGoogle Scholar
Balasubramanian, K. & Sujith, R. I. 2008 a Thermoacoustic instability in a Rijke tube: non-normality and nonlinearity. Phys. Fluids 20, 044103.CrossRefGoogle Scholar
Balasubramanian, K. & Sujith, R. I. 2008 b Non-normality and nonlinearity in combustion–acoustic interaction in diffusion flames. J. Fluid Mech. 594, 2957.CrossRefGoogle Scholar
Bewley, T. 2001 Flow control: new challenges for a new Renaissance. Prog. Aerosp. Sci. 37, 2158.CrossRefGoogle Scholar
Butler, K. M. & Farrell, B. F. 1992 Three-dimensional optimal perturbations in viscous shear flow. Phys. Fluids A 4 (8), 16371650.CrossRefGoogle Scholar
Dowling, A. P. 1997 Nonlinear self-excited oscillations of a ducted flame. J. Fluid Mech. 346, 271290.CrossRefGoogle Scholar
Dowling, A. P. 1999 A kinematic model of a ducted flame. J. Fluid Mech. 394, 5172.CrossRefGoogle Scholar
Duguet, Y., Willis, A. P. & Kerswell, R. R. 2008 Transition in pipe flow: the saddle structure on the boundary of turbulence. J. Fluid Mech. 613, 255274.CrossRefGoogle Scholar
Engelborghs, K., Luzyanina, T. & Roose, D. 2002 Numerical bifurcation analysis of delay differential equations using DDE-BIFTOOL. ACM Trans. Math. Softw. 28 (1), 121.CrossRefGoogle Scholar
Heckl, M. 1990 Nonlinear acoustic effects in the Rijke tube. Acustica 72, 63.Google Scholar
Henningson, D. S. & Reddy, S. C. 1994 On the role of linear mechanisms in transition to turbulence. Phys. Fluids 6 (3), 13961398.CrossRefGoogle Scholar
Jahnke, C. C. & Culick, F. E. C. 1994 Application of dynamical systems theory to nonlinear combustion instabilities. J. Propul. Power 10, 508517.CrossRefGoogle Scholar
Juniper, M. P. 2010 Transient growth in the horizontal Rijke tube: nonlinear optimal initial states. In N3L International Workshop T.U.M. Munich, Germany.Google Scholar
Juniper, M. P. & Waugh, I. C. 2010 Bypass transition to sustained thermoacoustic oscillations in a linearly stable Rijke tube. In 16th AIAA/CEAS Aeroacoustics Conference, KTH, Stockholm, Sweden. AIAA.Google Scholar
Landau, L. D. & Lifshitz, E. M. 1959 Fluid Mechanics. Pergamon.Google Scholar
Lieuwen, T. 2002 Experimental investigation of limit-cycle oscillations in an unstable gas turbine combustor. J. Propul. Power 18 (1), 6167.CrossRefGoogle Scholar
Matveev, I. 2003 Thermo-acoustic instabilities in the Rijke tube: experiments and modeling. PhD thesis, CalTech, Pasadena, CA.Google Scholar
Nagaraja, S., Kedia, K. & Sujith, R. I. 2009 Characterizing energy growth during combustion instabilities: singular values or eigenvalues? Proc. Combust. Inst. 32, 29332940.CrossRefGoogle Scholar
Nicoud, F., Benoit, L., Sensiau, C. & Poinsot, T. 2007 Acoustic modes in combustors with complex impedances and multidimensional active flames. AIAA J. 45 (2), 426441.CrossRefGoogle Scholar
Noiray, N., Durox, D., Schuller, T. & Candel, S. M. 2008 A unified framework for nonlinear combustion instability analysis based on the flame describing function. J. Fluid Mech. 615, 139167.CrossRefGoogle Scholar
Press, H. P., Teukolsky, S. A., Vetterling, W. T. & Flannery, B. P. 1992 Numerical Recipes in Fortran 77. Cambridge University Press.Google Scholar
Reddy, S. C. & Henningson, D. S. 1993 Energy growth in viscous channel flows. J. Fluid Mech. 252, 209238.CrossRefGoogle Scholar
Schmid, P. J. 2007 Nonmodal stability theory. Annu. Rev. Fluid Mech. 39, 129162.CrossRefGoogle Scholar
Schmid, P. J. & Henningson, D. S. 2001 Stability and Transition in Shear Flows. Springer.CrossRefGoogle Scholar
Schneider, T. M., Eckhardt, B. & Yorke, J. A. 2007 Turbulence transition and the edge of chaos in pipe flow. Phys. Rev. Lett. 99, 034502.CrossRefGoogle ScholarPubMed
Selimefendigila, F., Sujith, R. I. & Polifke, W. 2010 Identification of heat transfer dynamics for non-modal analysis of thermoacoustic stability. Appl. Maths Comput. (in press). doi:10.1016/j.amc.2010.07.051.Google Scholar
Sirkes, Z. & Tziperman, E. 1997 Finite difference of adjoint or adjoint of finite difference? Mon. Weather Rev. 125, 33733378.2.0.CO;2>CrossRefGoogle Scholar
Skufca, J. D., Yorke, J. A. & Eckhardt, B. 2006 Edge of chaos in a parallel shear flow. Phys. Rev. Lett. 96, 174101.CrossRefGoogle Scholar
Strogatz, S. H. 2001 Nonlinear Dynamics and Chaos. Westview Press.Google Scholar
Subramanian, P., Mariappan, S., Sujith, R. I. & Wahi, P. 2010 Application of numerical continuation to bifurcation analysis of Rijke tube. In N3L International Workshop T.U.M. Munich, Germany.Google Scholar
Trefethen, L. N., Trefethen, A. E., Reddy, S. C. & Driscoll, T. A. 1993 Hydrodynamic stability without eigenvalues. Science 261, 578584.CrossRefGoogle ScholarPubMed
Waugh, I. C. & Juniper, M. P. 2010 Triggering, bypass transition and the effect of noise on a linearly stable thermoacoustic system. Proc. Combust. Inst. 33 (in press). doi:10.1016/j.proci.2010.06.018.Google Scholar
Zinn, B. T. & Lieuwen, T. C. 2005 Combustion instability: basic concepts. In Combustion Instabilities in Gas Turbine Engines (ed. Lieuwen, T. C. & Yang, V.). AIAA.Google Scholar