Communications - Scientific Letters of the University of Zilina 2022, 24(3):D116-D125 | DOI: 10.26552/com.C.2022.3.D116-D125

The Comparison of Dynamic Effects Acting in the Common Crossing and Switch Unit of a Turnout

Jaroslav Smutný ORCID..., Dušan Janoštík*, Viktor Nohál
Institute of Railway Structures and Constructions, Faculty of Civil Engineering, Brno University of Technology, Brno, Czech republic

The paper presents an analysis and comparison of selected dynamic parameters in the common crossing and switch unit of a railway turnout. The paper includes a description of the measurement methodology, the report of mathematical methods used to evaluate the measured data and comparison of selected parameters describing dynamic processes in individual parts of the structure. The paper also includes a mathematical analysis of the lesser-known Hilbert Huang transformation, including its practical application. From the presented case study, practical experience and recommendations for the railway line managers, research organizations and possibly for the wider technical public are derived.

Keywords: railway turnout, common crossing unit, switch unit, dynamic effects, nonstationary and nonlinear signals, vibrations analysis in time and frequency domain, Hilbert-Huang transformation
Grants and funding:

This paper was supported by the project FASTS-21-7401, “Evaluation of dynamic effects acting on a structure by advanced mathematical analysis methods”.

Received: September 16, 2021; Accepted: January 10, 2022; Prepublished online: March 29, 2022; Published: July 1, 2022  Show citation

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Smutný, J., Janoštík, D., & Nohál, V. (2022). The Comparison of Dynamic Effects Acting in the Common Crossing and Switch Unit of a Turnout. Communications - Scientific Letters of the University of Zilina, 24(3), D116-125. doi: 10.26552/com.C.2022.3.D116-D125
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    References

    1. MORAVCIK, M. Analysis of vehicle bogie effects on track structure - nonstationary analysis of dynamic response. Communications - Scientific Letters of the University of Zilina [online]. 2011, 13(3), p. 33-40. ISSN 1335-4205, eISSN 2585-7878. Available from: http://komunikacie.uniza.sk/index.php/communications/article/view/860 Go to original source...
    2. KAEWUNRUEN, S., REMENNIKOV, A. M. Field trials for dynamic characteristics of railway track and its components using impact excitation technique. NDT & E International [online]. 2007, 40(7), p. 510-519. ISSN 0963-8695. Available from: https://doi.org/10.1016/j.ndteint.2007.03.004 Go to original source...
    3. KASSA, E., ANDERSON, C., NIELSEN, J. Simulation of dynamic interaction between train and railway turnout. Vehicle System Dynamics [online]. 2006, 44(3), p. 247-258. ISSN 0042-3114, eISSN 1744-5159. Available from: https://doi.org/10.1080/00423110500233487 Go to original source...
    4. KAEWUNRUEN, S. Monitoring structural deterioration of railway turnout systems via dynamic wheel/rail interaction. Case Studies in Nondestructive Testing and Evaluation [online]. 2014, 1, p. 19-24. ISSN 2214-6571. Available from: https://doi.org/10.1016/j.csndt.2014.03.004 Go to original source...
    5. KOLLMENT, W., O'LEARY, P., HARKER, M., OSSBERGER, U., ECK, S. Towards condition monitoring of railway points: instrumentation, measurement and signal processing. In: 2016 IEEE International Instrumentation and Measurement Technology Conference: proceedings [online]. IEEE. 2016. p. 612-617. Available from: https://doi.org/10.1109/I2MTC.2016.7520434 Go to original source...
    6. SMUTNY, J., PAZDERA, L., VUKUSIC, I. Dynamic effects on turnouts evaluation. The certified methodology. Ministry of Transportat of Czech Republic. 124/2014-710-VV/1, 2014.
    7. CHAMPENEY, D. C. A handbook of Fourier theorems. New York: Cambridge University Press, 1987. ISBN 9780521265034. Go to original source...
    8. SMUTNY, J. Measurement and analysis of dynamic and acoustic parameters of rail fastening. NDT & E International [online]. 2004, 37(8), p. 119-129. ISSN 0963-8695. Available from: https://doi.org/10.1016/j.ndteint.2003.08.003 Go to original source...
    9. HUANG, N. E., SHEN, Z., LONG, S. R., WU, M. C., SHIH, H. H., ZHENG, Q., YEN, N. C., TUNG, C. C., LIU, H.-H. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A [online]. 1998, 454(1971), p. 903-995. ISSN 1364-5021, eISSN 1471-2946. Available from: https://doi.org/10.1098/rspa.1998.0193 Go to original source...
    10. HUANG, N. E. New method for nonlinear and nonstationary time series analysis: empirical mode decomposition and Hilbert spectral analysis. In: Wavelet Application VII SPIE 4056: proceedings [online]. 2000. p. 197-210. Available from: https://doi.org/10.1117/12.381681 Go to original source...
    11. HUANG, N. E., SHEN, S. S. P. Hilbert-Huang transform and its applications [online]. World Scientific Publishing, 2005. ISBN 978-981-256-376-7, eISBN 978-981-4480-06-02, p. 1-24. Available from: https://doi.org/10.1142/5862 Go to original source...
    12. HUANG, N. E., WU, Z. A review on Hilbert-Huang transform method and its applications to geophysical studies. Reviews of Geophysics [online]. 2008, 46(2), p. 1-23. eISSN 1944-9208. Available from: https://doi.org/10.1029/2007RG000228 Go to original source...
    13. HUANG, N. E., CHEN, X., LO, M.-T., WU, Z. On Hilbert spectral representation: a true time-frequency representation for nonlinear and nonstationary data. Advances in Adaptive Data Analysis [online]. 2011, 3(01n02), p. 63-93. ISSN 1793-5369, eISSN 1793-7175. Available from: https://doi.org/10.1142/S1793536911000659 Go to original source...
    14. TORRES, M. E., COLOMINAS, M. A., SCHLOTTHAUER, G. S., FLANDRIN, P. A complete ensemble empirical mode decomposition with adaptive noise. In: IEEE International Conference on Acoustic, Speech and Signal Processing ICASSP 2011: proceedings [online]. IEEE. 2011. p. 4144-4147. Available from: https://doi.org/10.1109/ICASSP.2011.5947265 Go to original source...
    15. JUNSHENG, C., DEJIE, Y., YU, Y. Research on the intrinsic mode function (IMF) criterion in EMD method. Mechanical System and Signal Processing [online]. 2004, 20(4), p. 817-824. ISSN 0888-3270. Available from: https://doi.org/10.1016/j.ymssp.2005.09.011 Go to original source...
    16. ZHANG, R. R., MA, S., SAFAK, E., HARTZELL, S. Hilbert-Huang transform analysis of dynamic and earthquake motion recordings. Journal of Engineering Mechanics [online]. 2003, 129(8), p. 861-875. ISSN 0733-9399, eISSN 1943-7889. Available from: https://doi.org/10.1061/(ASCE)0733-9399(2003)129:8(861) Go to original source...
    17. CHIANG, W. L., CHIOU, D. J., CHEN, C. W., TANG, J. P., HSU, W. K., LIU, T. Y. Detecting the sensitivity of structural damage based on the Hilbert-Huang transform approach. Engineering Computations [online]. 2010, 27(7), p. 799-818. ISSN 0264-4401. Available from: https://doi.org/10.1108/02644401011073665 Go to original source...
    18. RILLING, G., FLANDRIN, P., GONCALVES, P. On empirical mode decomposition and its algorithms. In: IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing NSIP2003: proceedings. IEEE. 2003.
    19. PUTRA, T., ABDULLAH, S., NUAWI, M. Z., YUNOH, M. F. M. The Morlet and Daubechies wavelet transforms for fatigue strain signal analysis. Applied Mechanics and Materials [online]. 2018, 471, p. 197-202. ISSN 1662-7482. Available from: https://doi.org/10.4028/www.scientific.net/AMM.471.197 Go to original source...
    20. JANOSTIK, D., NOHAL, V., SEELMANN, H., SMUTNY, J. The continuous monitoring of selected railway structures using the autonomous data logger. Communications - Scientific Letters of the University of Zilina [online]. 2020, 22(2), p. 88-96. ISSN 1335-4205, eISSN 2585-7878. Available from: https://doi.org/10.26552/com.C.2020.2.88-96 Go to original source...

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