Abstract
Tipping is a phenomenon in multistable systems where small changes in inputs cause huge changes in outputs. When the parameter varies within a certain time scale, the rate will affect the tipping behaviors. These behaviors are undesirable in thermoacoustic systems, which are widely used in aviation, power generation and other industries. Thus, this paper aims at considering the tipping behaviors of the thermoacoustic system with the time-varying parameters and the combined excitations of additive and multiplicative colored noises. Transient dynamical behaviors for the proposed thermoacoustic model are implemented through the reduced Fokker-Planck-Kolmogorov equation derived by a standard stochastic averaging method. Then, the tipping problems of the rate-dependent thermoacoustic systems with random fluctuations are studied by virtue of the obtained probability density functions. Our results show that the rate delays the value of the tipping parameter compared to the one with the quasi-steady assumption, which is called as a rate-dependent tipping-delay phenomenon. Besides, the influences of the initial values, the rate, the changing time of the parameters, and the correlation time of the noises on the rate-dependent tipping-delay phenomenon are analyzed in detail. These results are of great significance for research in related fields such as aviation and land gas turbines.
Similar content being viewed by others
References
Ashwin P, Perryman C, Wieczorek S. Parameter shifts for nonautonomous systems in low dimension: Bifurcation- and rate-induced tipping. Nonlinearity, 2017, 30: 2185–2210
Holland M M, Bitz C M, Tremblay B. Future abrupt reductions in the summer Arctic sea ice. Geophys Res Lett, 2006, 33: L23503
Zickfeld K. Is the Indian summer monsoon stable against global change? Geophys Res Lett, 2005, 32: L15707
Clark G F, Stark J S, Johnston E L, et al. Light-driven tipping points in polar ecosystems. Glob Change Biol, 2013, 19: 3749–3761
Hoegh-Guldberg O, Mumby P J, Hooten A J, et al. Coral reefs under rapid climate change and ocean acidification. Science, 2007, 318: 1737–1742
Mumby P J, Hastings A, Edwards H J. Thresholds and the resilience of Caribbean coral reefs. Nature, 2007, 450: 98–101
Yan W, Woodard R, Sornette D. Diagnosis and prediction of tipping points in financial markets: Crashes and rebounds. Phys Procedia, 2010, 3: 1641–1657
Ashwin P, Wieczorek S, Vitolo R, et al. Tipping points in open systems: Bifurcation, noise-induced and rate-dependent examples in the climate system. Proc R Soc A, 2012, 370: 1166–1184
Ma J, Xu Y, Kurths J, et al. Detecting early-warning signals in periodically forced systems with noise. Chaos, 2018, 28: 113601
Ma J, Xu Y, Li Y, et al. Predicting noise-induced critical transitions in bistable systems. Chaos, 2019, 29: 081102
Ma J Z, Xu Y, Xu W, et al. Slowing down critical transitions via Gaussian white noise and periodic force. Sci China Tech Sci, 2019, 62: 2144–2152
Lucarini V, Calmanti S, Artale V. Destabilization of the thermohaline circulation by transient changes in the hydrological cycle. Clim Dyn, 2005, 24: 253–262
Mitry J, McCarthy M, Kopell N, et al. Excitable neurons, firing threshold manifolds and canards. J Math Neuroscience, 2013, 3: 12
Lenton T M, Rockström J, Gaffney O, et al. Climate tipping points - too risky to bet against. Nature, 2019, 575: 592–595
Ritchie P, Sieber J. Probability of noise- and rate-induced tipping. Phys Rev E, 2017, 95: 052209
Xu Y, Gu R, Zhang H, et al. Stochastic bifurcations in a bistable duffing-Van der Pol oscillator with colored noise. Phys Rev E, 2011, 83: 056215
Lieuwen T C. Unsteady Combustor Physics. New York: Cambridge Univ Press, 2012. 177–185
Oefelein J C, Yang V. Comprehensive review of liquid-propellant combustion instabilities in F-1 engines. J Propulsion Power, 1993, 9: 657–677
Nair V, Sujith R I. Multifractality in combustion noise: Predicting an impending combustion instability. J Fluid Mech, 2014, 747: 635–655
Lieuwen T, Neumeier Y, Zinn B T. The role of unmixedness and chemical kinetics in driving combustion instabilities in lean premixed combustors. Combust Sci Tech, 1998, 135: 193–211
Bonciolini G, Ebi D, Boujo E, et al. Experiments and modelling of rate-dependent transition delay in a stochastic subcritical bifurcation. R Soc Open Sci, 2018, 5: 172078
Zhang X, Xu Y, Schmalfuß B, et al. Random attractors for stochastic differential equations driven by two-sided Lévy processes. Stochastic Anal Appl, 2019, 37: 1028–1041
Mei R, Xu Y, Kurths J. Transport and escape in a deformable channel driven by fractional Gaussian noise. Phys Rev E, 2019, 100: 022114
Wang Z Q, Xu Y, Yang H. Lévy noise induced stochastic resonance in an FHN model. Sci China Tech Sci, 2016, 59: 371–375
Liu Q, Xu Y, Kurths J. Bistability and stochastic jumps in an airfoil system with viscoelastic material property and random fluctuations. Commun Nonlinear Sci Numer Simul, 2020, 84: 105184
Li Y, Xu R, Xu Y, et al. Particle dynamics and transport enhancement in a confined channel with position-dependent diffusivity. New J Phys, 2020
Unni V R, Gopalakrishnan E A, Syamkumar K S, et al. Interplay between random fluctuations and rate dependent phenomena at slow passage to limit-cycle oscillations in a bistable thermoacoustic system. Chaos, 2019, 29: 031102
Li H, Xu Y, Yue X, et al. Transition-event duration in one-dimensional systems under correlated noise. Phys A-Stat Mech its Appl, 2019, 532: 121764
Liu Q, Xu Y, Xu C, et al. The sliding mode control for an airfoil system driven by harmonic and colored Gaussian noise excitations. Appl Math Model, 2018, 64: 249–264
Mei R X, Xu Y, Li Y G, et al. The steady current analysis in a periodic channel driven by correlated noises. Chaos Soliton Fract, 2020, 135: 109766
Noiray N, Denisov A. A method to identify thermoacoustic growth rates in combustion chambers from dynamic pressure time series. Proc Combust Inst, 2017, 36: 3843–3850
Zinn B T, Lores M E. Application of the Galerkin method in the solution of non-linear axial combustion instability problems in liquid rockets. Combust Sci Technol, 1971, 1: 269–278
Zhu W Q, Cai G Q. Introduction to Stochastic Dynamics (in Chinese). Beijing: Science Press, 2017
Kaszás B, Feudel U, Tel T. Tipping phenomena in typical dynamical systems subjected to parameter drift. Sci Rep, 2019, 9: 8654
Author information
Authors and Affiliations
Corresponding author
Additional information
This work was supported by the National Natural Science Foundation of China (Grant No. 11772255), the Fundamental Research Funds for the Central Universities, the Research Funds for Interdisciplinary Subject of Northwestern Polytechnical University, the Shaanxi Project for Distinguished Young Scholars, and Shaanxi Provincial Key R&D Program (Grant Nos. 2020KW-013 and 2019TD-010).
Rights and permissions
About this article
Cite this article
Zhang, X., Xu, Y., Liu, Q. et al. Rate-dependent tipping-delay phenomenon in a thermoacoustic system with colored noise. Sci. China Technol. Sci. 63, 2315–2327 (2020). https://doi.org/10.1007/s11431-020-1589-x
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11431-020-1589-x