Abstract
Railway vehicles suffer from hunting motion, even when traveling below the critical speed obtained by linear analysis, due to the nonlinear characteristics of the wheel system. Nonlinear characteristics in Hopf bifurcations can be characterized as subcritical or supercritical, depending on whether the cubic nonlinearity is softening or hardening, respectively. In a system with softening cubic nonlinearity, third-order nonlinear analysis cannot detect nontrivial stable steady-state oscillations because they are affected by quintic nonlinearity. Therefore, in such a system, it is necessary to apply fifth-order nonlinear analysis to a system model in which quintic nonlinearity is taken into account. In this study, we investigated the cubic and quintic nonlinear phenomena in hunting motion with a roller rig that is widely used for hunting motion research. Previous experimental studies using a roller rig were restricted to the linear stability and the cubic nonlinear stability. We clarified that roller rig experiments can observe the hysteresis phenomenon and the existence of subcritical Hopf and saddle-node bifurcations, indicating that not only the cubic but also the quintic nonlinearity of the wheel system plays an important role. In addition, we obtained the normal form governing the nonlinear dynamics. We developed an experimental identification method to obtain the coefficients of the normal form. The validity of our method was confirmed by comparing the bifurcation diagrams obtained from the experimental time history and the normal form whose coefficients were experimentally identified using the proposed method.
Similar content being viewed by others
References
Knothe, K., Bohm, F.: History of stability of railway and road vehicles. Veh. Syst. Dyn. 31, 283–323 (1999)
Jin, X.S.: Key problems faced in high-speed train operation. Appl. Phys. Eng. 15, 936–945 (2014)
Dai, J., Ang, K.K., Jiang, D.: Moving element analysis of high-speed rail system accounting for hanging sleepers. In: MATEC Web of Conferences. https://doi.org/10.1051/matecconf/201814805007 (2018)
Han, L., Jing, L., Zhao, L.: Finite element analysis of the wheel-rail impact behavior induced by a wheel flat for high-speed trains: the influence of strain rate. Part F J. Rail Rapid Transit 232, 990–1004 (2018)
Law, E.H., Cooperrider, N.K.: A survey of railway vehicle dynamics research. Dyn. Syst. 96, 132–146 (1974)
Wickens, A.H.: The dynamic stability of railway vehicle wheelsets and bogies having profiled wheels. Int. J. Solids Struct. 1, 319–341 (1965)
Wickens, A.H.: Steering and dynamic stability of railway vehicles. Veh. Syst. Dyn. 5, 15–46 (1976)
Wickens, A.H.: The dynamics of railway vehicles on straight track: fundamental considerations of lateral stability. In: Proceedings of the Institution of Mechanical Engineers, Conference Proceedings, vol. 180, pp. 29–44 (1965)
Doyle, G.R., Prause, R.H.: Hunting stability of rail vehicles with torsionally flexible wheelsets. J. Eng. Ind. 99, 10–17 (1977)
Lee, S., Cheng, Y.: Hunting stability analysis of high-speed railway vehicle trucks on tangent tracks. J. Sound Vib. 282, 881–898 (2005)
Chi, M., Zhang, W., Zeng, J., Jin, X., Zhu, M.: Influence of hunting motion on ride quality of railway vehicle. J. Vib. Eng. 21, 639–643 (2008)
Baldovin, D., Sireteanu, T., Simona, N., Mitu, A.M.: Dissipation effect in the hunting motion stability of wheel set with elastic joints. Universitatea gEftimie Murguh Resita 17, 167–176 (2010)
Yabuno, H., Okamoto, T., Aoshima, N.: Effect of lateral linear stiffness on nonlinear characteristics of hunting motion of a railway wheelset. Meccanica 37, 555–568 (2002)
Kaiser, I., Polach, O.: Comparison of methods analyzing bifurcation and hunting of complex rail vehicle models. Comput. Nonlinear Dyn. (2012). https://doi.org/10.1115/1.4006825
He, X.: Hopf bifurcation at infinity with discontinuous nonlinearities. ANZIAM J. 33, 133–148 (1991)
Sakamoto, H., Yamamoto, M.: Effect of nonlinear creep force on railway truck dynamics. Bull. JSME 29, 3102–3108 (1986)
Ahmadian, M., Yang, S.: Hopf bifurcation and hunting behavior in a rail wheelset with flange contact. Nonlinear Dyn. 15, 15–30 (1998)
Hamid, M.S., Kourosh, H.S.: A survey of Hopf bifurcation analysis in nonlinear railway wheelset dynamics. J. Vibroeng. 14, 334–351 (2012)
Yokose, K., Igarashi, M.: Fundamental study on truck hunting considering non-linearity of creep force. Bull. JSME 29, 541–547 (1986)
Banerjee, N., Karmakar, R.: Modelling of a free rail wheelset using non-linear creep force. IJHVS 21, 310–327 (2014)
Guckenheimer J., Holmes P.: Local bifurcations. In: Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields. Applied Mathematical Sciences, vol 42, chap. 3. Springer, New York, NY (1983). https://doi.org/10.1007/978-1-4612-1140-2_3
Cheng, L., Wei, X., Cao, H.: Two-parameter bifurcation analysis of limit cycles of a simplified railway wheelset model. Nonlinear Dyn. 93, 2415–2431 (2018)
Kim, P., Jung, J., Seok, J.: A parametric dynamic study on hunting stability of full dual-bogie railway vehicle. Int. J. Precis. Eng. Manuf. 12, 505–519 (2011)
Hamid, M.S., Kourosh, H.S.: Bifurcation analysis in hunting dynamical behavior in a railway bogie: using novel exact equivalent functions for discontinuous nonlinearities. Sci. Iran. 19, 1493–1501 (2012)
Zhang, T., Dai, H.: Loss of stability of a railway wheel-set, subcritical or supercritical. Veh. Syst. Dyn. 55, 1731–1747 (2017)
Kim, P., Seok, J.: Bifurcation analysis on the hunting behavior of a dual-bogie railway vehicle using the method of multiple scales. J. Sound Vib. 329, 4017–4039 (2010)
Zhang, B., Zeng, J., Liu, W.: Research on stochastic stability and stochastic bifurcation of suspended wheelset. J. Mech. Sci. Technol. 29, 3097–3107 (2015)
Uyulan, G., Gokasan, M., Bogosyan, S.: Dynamic investigation of the hunting motion of a railway bogie in a curved track via bifurcation analysis. Math. Probl. Eng. 1, 1–15 (2017)
Zboinski, K., Dusza, M.: Self-exciting vibrations and Hopf’s bifurcation in non-linear stability analysis of rail vehicles in a curved track. Eur. J. Mech. 29, 190–203 (2010)
Von Wagner, U.: Nonlinear dynamic behavior of a railway wheelset. Veh. Syst. Dyn. 47, 627–640 (2009)
Chi, M., Wu, X.: Parameters study of Hopf bifurcation in railway vehicle system. Comput. Nonlinear Dyn. (2015). https://doi.org/10.1115/1.4027683
Yamanaga, Y., Kido, K.: Hunting stability test of railway bogies on roller rigs and bifurcation. In: Dynamics and Design Conference. https://doi.org/10.1299/jsmedmc.2017.304 (2017)
Dong, H., Zeng, J., Xie, J., Jia, L.: Bifurcation/instability forms of high speed railway vehicles. Sci. China Technol. Sci. 56, 1685–1696 (2013)
Jaschinski, A., Chollet, H., Iwnicki, S.D., Wickens, A.H., Von Wurzen, J.: The application of the roller rigs to railway vehicle dynamics. Veh. Syst. Dyn. 31, 345–392 (1999)
Ejiri, K., Michitsuji, Y., Suda, Y., Lin, S., Sugiyama, H.: Running stability analysis of independently rotating wheelset with negative tread conicity using scaled-model roller rig. JSME 79, 4950–4962 (2013)
Myamlin, S., Kalivoda, J., Neduzha, L.: Testing of railway vehicles using roller rigs. Procedia Eng. 187, 688–695 (2017)
Iwnicki, S.D., Wickens, A.H.: Validation of a Matlab railway vehicle simulation using a scale roller rig. Veh. Syst. Dyn. 30, 257–270 (1998)
Yamanaga, Y., Watanabe, N.: Experimental investigation of global stability against hunting oscillation using a real bogie. Trans. JSME (The Japanese Journal of Educational Research) 84, 18–00109 (2018)
Nayfeh, A.H.: The Method of Normal Forms. Wiley, Hoboken (2011)
Pirbodaghi, T., Hoseini, S.H., Ahmadian, M.T., Farrahi, G.H.: Duffing equations with cubic and quintic nonlinearities. Comput. Math. Appl. 57, 500–506 (2009)
Iwnicki, S.D.: Handbook of Railway Vehicle Dynamics. Taylor and Francis, Didcot (2006)
Nana, B., Yamgoue, S.B., Tchitnga, R., Woafo, P.: Nonlinear dynamics of a sinusoidally driven lever in repulsive magnetic fields. Nonlinear Dyn. 91, 55–66 (2018)
Kwuimy, C.K., Woafo, P.: Experimental realization and simulations a self-sustained macro electromechanical system. Mech. Res. Commun. 37, 106–110 (2010)
De Pater, A.D.: The exact theory of the motion of a single wheelset on a perfectly straight track. Veh. Syst. Dyn. 8, 182–184 (1979)
True, H.: Dynamics of a rolling wheelset. Appl. Mech. Rev. 46, 438–444 (1993)
Knudsen, C., Feldberg, R., True, H.: Bifurcations and chaos in a model of a rolling railway wheelset. Philos. Trans. R. Soc. Lond. A 338, 455–469 (1992)
Zhang, T., Dai, H.: Bifurcation analysis of high-speed railway wheel-set. Nonlinear Dyn. 83, 1511–1528 (2016)
Steiner, W., Steindl, A., Troger, H.: Center manifold approach to the control of a tethered satellite system. Appl. Math. Comput. 70, 315–327 (1995)
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendix A: Hysteresis width depending on the amount of surface roughness or disturbance
Disturbances created from surface roughness can change the linear and nonlinear critical speeds, that is, the width of the hysteresis region, as follows. Figure 11 is a schematic bifurcation diagram. In the hysteresis region, the unstable steady-state amplitude is the threshold determining whether the amplitude grows up to the stable nontrivial steady-state amplitude or decreases to the zero amplitude. Therefore, when the disturbance is small, as in Fig. 11a, where the disturbance is denoted by short thick arrows, the linear and nonlinear critical speeds, \({v_\mathrm{c}}\) and \({v_\mathrm{n}}\), are approximately equal to those theoretically obtained values under the assumption of an infinitely small disturbance. At these critical speeds, the amplitude grows or decreases along the thin arrow.
In contrast, under a large disturbance, as in Fig. 11b, where the disturbance is denoted by long thick arrows, the linear and nonlinear critical speeds decrease and increase, respectively. Therefore, the threshold becomes narrower than it is for a small disturbance. As one application of these nonlinear characteristics, measurement of the width of threshold can prove an identical method for determining the amount of disturbance.
Appendix B: Eigenvalues of the equation of motion
Matrix \(\varvec{A}\) consists of the coefficients of the linear terms, and vector \({\varvec{N}(\varvec{x},\epsilon )}\) includes the cubic and quintic nonlinear terms and the detuning term denoted by the second term of Eq. (5). At the linear critical speed (\({\epsilon =0}\)), the four eigenvalues of the matrix \(\varvec{A}\) include a pair of pure imaginary eigenvalues as
and one complex conjugate pair of eigenvalues with a negative real part as
where
Appendix C: Reduction in nonlinear terms of the equation of r
We obtain the equation governing \({\eta }\) under the consideration of different orders from Eq. (21). The linear part (\({O(\epsilon ^{1/2})}\)) of Eq. (21) is obtained as:
and the cubic part (\({O(\epsilon ^{3/2})}\)) of Eq. (21) is obtained as
To reduce the number of nonlinear terms in the equation, we consider
Therefore, the cubic nonlinear coefficients of Eq. (20) are selected as
and we select \({\varGamma _1}\), \({\varGamma _4}\) as
Then, Eq. (C-2) is simplified as follows:
The quintic part (\({O(\epsilon ^{5/2})}\)) of Eq. (21) is obtained as follows:
We consider that
Therefore, the quintic nonlinear coefficients of Eq. (20) are selected as
Then, we select \({\varGamma _7}\), \({\varGamma _{10}}\), and \({\varGamma _{15}}\) as
Finally, Eq. (C-7) is simplified:
where
Therefore, the equation of \({\eta }\) in consideration of quintic nonlinearity (\({O(\epsilon ^{5/2})}\)) can be obtained as follows:
Rights and permissions
About this article
Cite this article
Wei, W., Yabuno, H. Subcritical Hopf and saddle-node bifurcations in hunting motion caused by cubic and quintic nonlinearities: experimental identification of nonlinearities in a roller rig. Nonlinear Dyn 98, 657–670 (2019). https://doi.org/10.1007/s11071-019-05220-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-019-05220-1