Technical Papers
Jun 13, 2018

Identification of Railway Ballasted Track Systems from Dynamic Responses of In-Service Trains

Publication: Journal of Aerospace Engineering
Volume 31, Issue 5

Abstract

Railway track is one of the most important parts of the railway system, and monitoring its condition is essential to ensure the safety of trains and reduce maintenance cost. An adaptive regularization approach is adopted in this paper to identify the parameters of a railway ballasted track system (substructure) from dynamic measurements on in-service vehicles. The vehicle-track interaction system is modeled as a discrete spring-mass model on a Winkler elastic foundation. Damage is defined as the stiffness reduction of the track due to foundation settlement, loosening in the rail fastener, and lack of compaction of the ballast. Accelerometers are installed on the underframe of the train to capture the dynamic responses from which the interaction forces between the vehicle and the railway track are determined. The damage of the railway track can be detected via changes in the interaction force. Numerical results show that the proposed approach can identify all stiffness parameters successfully at a low moving speed and at a high sampling rate when measurement noise is involved.

Get full access to this article

View all available purchase options and get full access to this article.

References

Bathe, K. J. 1982. Finite element procedures in engineering analysis. Upper Saddle River, NJ: Prentice Hall.
Bu, J. Q., S. S. Law, and X. Q. Zhu. 2006. “Innovative bridge damage assessment from dynamic response of a passing vehicle.” J. Eng. Mech. 132 (12): 1372–1379. https://doi.org/10.1061/(ASCE)0733-9399(2006)132:12(1372).
Cantero, D., and B. Basu. 2015. “Railway infrastructure damage detection using wavelet transformed acceleration response of traversing vehicle.” Struct. Control Health Monit. 22 (1): 62–70. https://doi.org/10.1002/stc.1660.
Hansen, P. C. 1992. “Analysis of discrete ill-posed problems by means of the L-curve.” SIMA Rev. 34 (4): 561–580. https://doi.org/10.1137/1034115.
Henchi, K., M. Fafard, M. Talbot, and G. Dhatt. 1988. “An efficient algorithm for dynamic analysis of bridges under moving vehicles using a coupled modal and physical components approach.” J. Sound Vibr. 212 (4): 663–683. https://doi.org/10.1006/jsvi.1997.1459.
Ishii, H., Y. Fujino, Y. Mizuno, and K. Kaito. 2006. “The study of train intelligent monitoring system using acceleration of ordinary trains.” In Proc., 1st Asia-Pacific Workshop on Structural Health Monitoring. Yokohama, Japan.
Kacar, A., H. Tugba Tan, and M. O. Kaya. 2011. “Free vibration analysis of beams on variable Winkler elastic foundation by using the differential transform method.” Math. Comput. Appl. 16 (3): 773–783. https://doi.org/10.3390/mca16030773.
Lam, H. F., S. A. Alabi, and J.-H. Yang. 2017. “Identification of rail-sleeper-ballast system through time-domain Markov chain Monte Carlo–based Bayesian approach.” Eng. Struct. 140: 421–436. https://doi.org/10.1016/j.engstruct.2017.03.001.
Lam, H. F., M. T. Wong, and Y. B. Yang. 2012. “A feasibility study on railway ballast damage detection utilizing measured vibration of in situ concrete sleeper.” Eng. Struct. 45: 284–298. https://doi.org/10.1016/j.engstruct.2012.06.022.
Law, S. S., K. Zhang, and Z. D. Duan. 2010. “Structural damage detection from coupling forces between substructures under support excitation.” Eng. Struct. 32 (8): 2221–2228. https://doi.org/10.1016/j.engstruct.2010.03.024.
Lederman, G., S. Chen, J. Garrent, J. Kovacevic, H. Y. Noh, and J. Bielak. 2017. “Track-monitoring from the dynamic response of an operational train.” Mech. Syst. Sig. Process. 87: 1–16. https://doi.org/10.1016/j.ymssp.2016.06.041.
Li, C. S., S. H. Luo, C. Cole, and M. Spiryagin. 2017. “An overview: Modern techniques for railway vehicle on-board health monitoring systems.” Veh. Syst. Dyn. 55 (7): 1045–1070. https://doi.org/10.1080/00423114.2017.1296963.
Li, X. Y., and S. S. Law. 2010. “Adaptive Tikhonov regularization for damage detection based on nonlinear model updating.” Mech. Syst. Sig. Process. 24 (6): 1646–1664. https://doi.org/10.1016/j.ymssp.2010.02.006.
Liu, K., S. S. Law, X. Q. Zhu, and Y. Xia. 2014. “Explicit form of an implicit method for inverse force identification.” J. Sound Vibr. 333 (3): 730–744. https://doi.org/10.1016/j.jsv.2013.09.040.
Mizuno, Y., Y. Fujino, K. Kataoka, and Y. Matsumoto. 2008. “Development of a mobile sensing unit and its prototype implementation.” Supplement, Tsinghua Sci. Technol. 13 (S1): 223–227. https://doi.org/10.1016/S1007-0214(08)70153-6.
Mohammadzadeh, S., M. Esmaeili, and M. Mehrali. 2014. “Dynamic response of double beam rested on stochastic foundation under harmonic moving load.” Int. J. Numer. Anal. Methods Geomech. 38 (6): 572–592. https://doi.org/10.1002/nag.2227.
Oregui, M., S. Li, A. Nunez, Z. Li, R. Carroll, and R. Dollevoet. 2017. “Monitoring bolt tightness of rail joints using axle box acceleration measurements.” Struct. Control Health Monit. 24 (2): e1848. https://doi.org/10.1002/stc.1848.
Salvador, P., V. Naranjo, R. Insa, and P. Teixeira. 2016. “Axlebox accelerations: Their acquisition and time-frequency characterization for railway track monitoring purposes.” Measurement 82: 301–312. https://doi.org/10.1016/j.measurement.2016.01.012.
Savini, G. 2010. “A numerical program for railway vehicle-track-structure dynamic interaction using a modal substructuring approach.” Ph.D. dissertation, Univ. of Bologna Digital Library.
Uzzal, R. U. A., W. Ahmed, and S. Rakheja. 2008. “Dynamic analysis of railway vehicle-track interactions due to wheel flat with a pitch-plane vehicle model.” J. Mech. Eng. 39 (2): 86–94. https://doi.org/10.3329/jme.v39i2.1851.
Vale, C., and R. Calcada. 2014. “A dynamic vehicle-track interaction model for predicting the track degradation process.” J. Infrastr. Syst. 20 (3): 04014016. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000190.
Weston, P. F., C. S. Ling, C. J. Goodman, C. Roberts, P. Li, and R. M. Goodall. 2007. “Monitoring lateral track irregularity form in-service railway vehicles.” Proc. Inst. Mech. Eng., Part F: J. Rail Rapid Transit. 221 (1): 89–100.
With, C., and A. Bodare. 2009. “Evaluation of track stiffness with a vibrator for prediction of train-induced displacement on railway embankments.” Soil Dyn. Earthquake Eng. 29 (8): 1187–1197. https://doi.org/10.1016/j.soildyn.2008.11.010.
Wu, T. X., and D. J. Thompson. 2002. “A hybrid model for the noise generation due to railway wheel flats.” J. Sound Vibr. 251 (1): 115–139. https://doi.org/10.1006/jsvi.2001.3980.
Yang, Y. B., and J. D. Yau. 1997. “Vehicle bridge interaction element for dynamic analysis.” J. Struct. Eng. 123 (11): 1512–1518. https://doi.org/10.1061/(ASCE)0733-9445(1997)123:11(1512).
Zhai, W., and Z. Cai. 1997. “Dynamic interaction between a lumped mass vehicle and a discretely supported continuous rail track.” Comput. Struct. 63 (5): 987–997. https://doi.org/10.1016/S0045-7949(96)00401-4.

Information & Authors

Information

Published In

Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 31Issue 5September 2018

History

Received: Sep 25, 2017
Accepted: Mar 16, 2018
Published online: Jun 13, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 13, 2018

Permissions

Request permissions for this article.

Authors

Affiliations

Associate Professor, School of Civil and Environmental Engineering, Univ. of Technology Sydney, P.O. Box 123, Broadway, NSW 2007, Australia (corresponding author). ORCID: https://orcid.org/0000-0001-5083-9320. Email: [email protected]
S. S. Law, Ph.D. [email protected]
Professor, School of Civil Engineering, Chongqing Univ., Chongqing 400044, China; Professor, Dept. of Civil and Environment Engineering, Hong Kong Polytechnic Univ., Kowloon, Hunghum, Hong Kong, China. Email: [email protected]
Research Assistant, Dept. of Civil and Environment Engineering, Hong Kong Polytechnic Univ., Kowloon, Hunghum, Hong Kong, China. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share