Skip to main content
SpringerLink
Log in

Moving train loads identification on a continuous steel truss girder by using dynamic displacement influence line method

  • Published:
International Journal of Steel Structures Aims and scope Submit manuscript

Abstract

This paper presents a dynamic displacement influence line method for moving load identification on bridge. The finite element model of Poyang Lake continuous truss bridge-train systems is established and the dispersed modal shapes are acquired by modal analysis. Multi-axle moving train loads are identified with simulated annealing genetic algorithm by minimizing the errors between the measured displacements and the reconstructed displacements from the identified moving loads. In the identification process, the dynamic displacement influence line technique is used to calculate the time history displacement responses of the bridge to avoid solving equations of motion of the bridge repetitively. Several important parameters of the bridge-train system are discussed to investigate their effects on the proposed method. The results demonstrate that the proposed method is an accurate and efficient method for moving train load identification on complex bridges.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Au, F. T. K, Jiang, R. J., and Cheung, Y. K. (2004). “Parameter identification of vehicles moving on continuous bridges.” Journal of Sound Vibration, 269, pp. 91–111.

    Article  Google Scholar 

  • Cebon, D. (1987). “Assessment of the dynamic wheel forces generated by heavy road vehicles.” Proc. Symposium on Heavy Vehicle Suspension and Characteristics, Australian Road Research Board, pp. 199–212.

  • Connor, O. and Chan, T. H. T. (1988). “Dynamic Wheel Loads From Bridge Strains.” Journal of Structural Engineering, ASCE, 114, pp. 1703–1723.

    Article  Google Scholar 

  • Cantineni, R. (1992). “Dynamic behavior of highway bridges under the passage of heavy vehicles.” Swiss Federal Laboratories for Mate-rials Testing and Research, EMPA, Report No. 220. pp. 240.

  • Chan, T. H. T., Law, S. S., and Yung, T. H. (1999). “An interpretive method for moving force identification.” Journal of Sound Vibration, 219(3), pp. 503–524.

    Article  Google Scholar 

  • Chan, T. H. T., Yu, L., Law, S. S., and Yung, T. H. (2001a). “Moving force identification studies I: theory.” Journal of Sound Vibration, 247(1), pp. 59–76.

    Article  Google Scholar 

  • Chan, T. H. T., Yu, L., Law, S. S., and Yung, T. H. (2001b). “Moving force identification studies II: comparative studies.” Journal of Sound Vibration, 247(1), pp. 77–95.

    Article  Google Scholar 

  • Chen, P. H. and Shahandashti, S. M. (2009). “Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints.” Automation in Construction, 18, pp. 434–443.

    Article  Google Scholar 

  • Jiang, R. J., Au, F. T. K., and Cheung, Y. K. (2004). “Identification of vehicles moving on continuous bridges with rough surface.” Journal of Sound Vibration, 274, pp. 1045–1063.

    Article  Google Scholar 

  • Law, S. S. and Chan, T. H. T. (1997). “Moving force identification: a time domain method.” Journal of Sound Vibration, 201(1), pp. 1–22.

    Article  Google Scholar 

  • Law, S. S., Chan, T. H. T., and Zeng, Q. H. (1999). “Moving force identification: a frequency and time domains analysis.” Journal of Dynamics Systems, Measurement and Control, 121(3), pp. 394–401.

    Article  Google Scholar 

  • Moses, F. (1978). “Weigh-in motionsystem using instrumented bridges.” Journal of Transport Engineering, ASCE, 105, pp. 233–249.

    Google Scholar 

  • Michaltsos, G. T. (2002). “Dynamic behavior of a single-span beam subjected to loads moving with variable speeds.” Journal of Sound Vibration, 258(2), pp. 359–372.

    Article  Google Scholar 

  • Qu, W. L., Wang, Y., and Pi, Y. L. (2011). “Multi-axle moving train loads identification on simply supported bridge by using simulated annealing genetic algorithm.” International Journal of Structural Stability and Dynamics, 11(1), pp. 57–71.

    Article  Google Scholar 

  • Yu, L. and Chan, T. H. T. (2007). “Recent research on identification of moving loads on bridges.” Journal of Sound Vibration, 305, pp. 3–21.

    Article  Google Scholar 

  • Zhu, X. Q. and Law, S. S. (2000). “Identification of vehicle axle loads from bridge dynamic responses.” Journal of Sound Vibration, 236(4), pp. 705–724.

    Article  Google Scholar 

  • Zhu, X. Q. and Law, S. S. (2001). “Orthogonal function in moving loads identification on a multi-span bridge.” Journal of Sound Vibration, 245, pp. 329–345.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Civil and Materials Engineering Faculty, Henan University of Urban Construction, Pingdingshan, 467036, P. R. China

    Yi Wang

  2. Hubei Key Laboratory of Roadway Bridge and structure Engineering, Wuhan University of Technology, Wuhan, 430070, P. R. China

    Wei-Lian Qu

Authors
  1. Yi Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wei-Lian Qu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yi Wang.

Additional information

Note.-Discussion open until November 1, 2011. This manuscript for this paper was submitted for review and possible publication on April 16, 2010; approved on February 10, 2011.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, Y., Qu, WL. Moving train loads identification on a continuous steel truss girder by using dynamic displacement influence line method. Int J Steel Struct 11, 109–115 (2011). https://doi.org/10.1007/s13296-011-2001-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13296-011-2001-7

Keywords

Search

Navigation