Nonlinear Dynamics

, Volume 42, Issue 2, pp 185–198 | Cite as

Bifurcation and Chaos Analysis of Stochastic Duffing System Under Harmonic Excitations

  • X. L. Leng
  • C. L. Wu
  • X. P. Ma
  • G. Meng
  • T. Fang
Article

Abstract

The Chebyshev polynomial approximation is applied to the dynamic response problem of a stochastic Duffing system with bounded random parameters, subject to harmonic excitations. The stochastic Duffing system is first reduced into an equivalent deterministic non-linear one for substitution. Then basic non-linear phenomena, such as stochastic saddle-node bifurcation, stochastic symmetry-breaking bifurcation, stochastic period-doubling bifurcation, coexistence of different kinds of steady-state stochastic responses, and stochastic chaos, are studied by numerical simulations. The main feature of stochastic chaos is explored. The suggested method provides a new approach to stochastic dynamic response problems of some dissipative stochastic systems with polynomial non-linearity.

Keywords

Chebyshev polynomial approximation stochastic bifurcation stochastic chaos stochastic Duffing system 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Guckenheimer, J. and Holmes, P., Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields, Springer-Verlag, New York, 1983.Google Scholar
  2. 2.
    Ueda, Y., ‘Steady motions exhibited by Duffing's equation: A picture book of regular and chaotic motions’, in New Approaches to Nonlinear Problems in Dynamics, P. J. Holmes (ed.), SIAM, PA, 1980, pp. 311–322.Google Scholar
  3. 3.
    Ueda, Y., ‘Random phenomena resulting from nonlinearity in the system described by Duffing equation’, International Journal of Nonlinear Mechanics 20(5/6), 1985, 481–491.CrossRefGoogle Scholar
  4. 4.
    Moon, F. C., ‘Experiments on chaotic motions of a forced nonlinear oscillator: Strange attractors’, ASME J. Appl. Mech. 47, 1980, 638–644.Google Scholar
  5. 5.
    Dowell, E. H., ‘Flutter of a buckled plate as an example of chaotic motion of a deterministic system’, Journal of Sound and Vibration 85, 1982, 333–344.CrossRefGoogle Scholar
  6. 6.
    Dowell, E. H. and Pezeshki, C., ‘On understanding of chaos in Duffing equation including a comparison with experiment’, ASME Journal of Applied Mechanics 53(1), 1986, 5–9.Google Scholar
  7. 7.
    Fang, T. and Dowell, E. H., ‘Numerical simulation of periodic and chaotic responses in a stable Duffing system’, International Journal of Nonlinear Mechanics 22(5), 1987, 401–425.CrossRefGoogle Scholar
  8. 8.
    Parlitz, U., ‘Common dynamic features of periodically driven strictly dissipative oscillators’, International Journal of Bifurcation Chaos 3(3), 1993, 703–715.CrossRefGoogle Scholar
  9. 9.
    Gong, P. L. and Xu, J. X., ‘On the multiple-attractor coexisting system with uncertainties using generalized cell mapping method’, Appl. Math. Mech. 19, 1998, 1179.Google Scholar
  10. 10.
    Petit, C. L. and Baren, P. S., ‘Effect of parameter uncertainty on airfoil limit cycle oscillations’, Journal of Aircraft 40(5), 2003, 1004–1006.Google Scholar
  11. 11.
    Li J., ‘The expanded order system method of combined random vibration analysis’, Acta Mechanica Sinica 28(1), 1996, 66–75 [in Chinese].MathSciNetGoogle Scholar
  12. 12.
    Fang, T., Leng, X. L., and Song, C. Q., ‘Chebyshev polynomial approximation for dynamical response problem of random system’, Journal of Sound and Vibration 266(1), 2003, 198–206.CrossRefMathSciNetGoogle Scholar
  13. 13.
    Fang, T., Leng, X. L., and Ma, X. P., ‘λ-PDF and Gegenbauer polynomial approximation for dynamical response problem of random system’, Acta Mechanica Sinica (Eng. Ser.) 20(3), 2003, 292–298.Google Scholar
  14. 14.
    Leng, X. L., ‘Study on Evolutionary Random Response Problems of Stochastic Linear Systems and Bifurcation and Chaos in Stochastic Duffing Oscillator’, Ph.D. Thesis, Northwestern Polytechnical University, Xian, China, November 2002 [in Chinese].Google Scholar
  15. 15.
    Kamerich, E., A Guide to MAPLE, Springer, New York, 1999.Google Scholar
  16. 16.
    Parker, T. S. and Chua, L. O., Practical Numerical Algorithms for Chaotic Systems, Springer-Verlag, New York, 1989.Google Scholar
  17. 17.
    Wolf, A., Swift J. B., Swinney, H. L., and Vastano, J. A., Determining Lyapunov exponents from a time series, Physica D 16, 1985, 285–317.CrossRefGoogle Scholar

Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • X. L. Leng
    • 1
  • C. L. Wu
    • 2
    • 3
  • X. P. Ma
    • 4
  • G. Meng
    • 1
  • T. Fang
    • 2
  1. 1.State Key Laboratory of Vibration, Shock, and Noise, School of Mechanical and Power Energy EngineeringShanghai Jiaotong UniversityShanghaiChina
  2. 2.Department of Engineering MechanicsNorthwestern Polytechnical UniversityXianChina
  3. 3.Aircraft Strength Research Institute of ChinaXianChina
  4. 4.Institute of UAVNorthwestern Polytechnical UniversityXian

Personalised recommendations