Advertisement

A Novel Method for Railway Crossing Monitoring Based on Ambient Vibration Caused by Train-Track Interaction

  • Chen ShenEmail author
  • Zili Li
  • Rolf Dollovoet
Conference paper
  • 10 Downloads
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Railway crossings are critical components in the rail network. They usually degrade faster than the other components. It is therefore vital to monitor their conditions using appropriate methods. This paper proposes to use the ambient vibration caused by the train-track interaction from a distance to monitor the condition of railway crossings. Both impact tests and pass-by measurements were performed on an instrumented crossing. The eigenfrequencies and mode shapes in the frequency range of 10–2000 Hz are first identified by impact tests using three different devices, i.e. a falling weight device, a big hammer and a small hammer. For the pass-by measurement, the dynamic features of both the wheel-crossing impact and ambient vibration are analyzed using time-frequency representations. It is shown that the ambient vibration signals are stationary and contain several characteristic frequencies. Then a method based on the frequency domain decomposition is applied to the ambient vibration signals to further identify the frequency components. It is found that the frequencies identified from the pass-by measurement agree well with the eigenfrequencies identified from the impact test. The proposed method can be further developed to continuously monitor the condition of railway crossings without interrupting train operations.

Keywords

Railway crossing Condition monitoring Pass-by measurement Ambient vibrations 

References

  1. 1.
    Li, X., Torstensson, P.T., Nielsen, J.C.O.: Simulation of vertical dynamic vehicle–track interaction in a railway crossing using Green’s functions. J. Sound Vib. 410, 318–329 (2017)CrossRefGoogle Scholar
  2. 2.
    Alfi, S., Bruni, S.: Mathematical modelling of train–turnout interaction. Veh. Syst. Dyn. 47(5), 551–574 (2009)CrossRefGoogle Scholar
  3. 3.
    Kassa, E., Nielsen, J.C.O.: Dynamic interaction between train and railway turnout: full-scale field test and validation of simulation models. Veh. Syst. Dyn. 46(sup1), 521–534 (2008)CrossRefGoogle Scholar
  4. 4.
    Kaewunruen, S.: Monitoring structural deterioration of railway turnout systems via dynamic wheel/rail interaction. Case Stud. Nondestruct. Test. Eval. 1, 19–24 (2014)CrossRefGoogle Scholar
  5. 5.
    Wei, Z., Boogaard, A., Núñez, A., Li, Z., Dollevoet, R.: An integrated approach for characterizing the dynamic behavior of the wheel-rail interaction at crossings. Trans. Instrum. Meas. 67(10), 2332–2344 (2018)CrossRefGoogle Scholar
  6. 6.
    Boogaard, M.A., Li, Z., Dollevoet, R.P.B.J.: In situ measurements of the crossing vibrations of a railway turnout. Measurement 125, 313–324 (2018)CrossRefGoogle Scholar
  7. 7.
    Pålsson, B.A., Nielsen, J.C.O.: Dynamic vehicle–track interaction in switches and crossings and the influence of rail pad stiffness – field measurements and validation of a simulation model. Veh. Syst. Dyn. 53(6), 734–755 (2015)CrossRefGoogle Scholar
  8. 8.
    Brincker, R., et al.: Modal identification of output-only systems using frequency domain decomposition. Smart Mater. Struct. 10(3), 441 (2001)CrossRefGoogle Scholar
  9. 9.
    Tarinejad, R., Damadipour, M.: Modal identification of structures by a novel approach based on FDD-wavelet method. J. Sound Vib. 333(3), 1024–1045 (2014)CrossRefGoogle Scholar
  10. 10.
    Reynders, E: System identification methods for (operational) modal analysis: review and comparison. Arch. Comput. Meth. Eng. 19(1), 51–124 (2012)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Delft University of TechnologyDelftThe Netherlands

Personalised recommendations