Skip to main content
Log in

Simultaneous identification of vehicular parameters and structural damages in bridge

  • Engineering Science
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

In this paper, we present a method for simultaneously identifying the vehicular parameters and the structural damage of bridges. By using the dynamic response data of bridge in coupled vibration state and the algorithm for the inverse problem, the vehicle-bridge coupling model is built through combining the motion equations of both vehicle and the bridge based on their interaction force relationship at contact point. Load shape function method and Newmark iterative method are used to solve the vibration response of the coupled system. Penalty function method and regularization method are interchangeable in the process until the error is less than the allowable value. The proposed method is applied on a single-span girders bridge, and the recognition results verify the feasibility, high accuracy and robustness of the method.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Zhu X Q, Law S S. Time domain identification of moving loads on bridge deck[J]. Journal of Vibration and Acoustics, 2003, 125(2):187–198.

    Article  Google Scholar 

  2. Tao X H, Huang X M. Analysis and calculation of frequency domain simulation of dynamic load[J]. Journal of Huazhong University of Science and Technology (Urban Science Edition), 2003, 20(4): 47–50(Ch).

    Google Scholar 

  3. Bayissa W L, Haritos N, Thelandersson S. Vibration-based structural damage identification using wavelet transform[J]. Mechanical Systems and Signal Processing, 2008, 22(5):1194–1215.

    Article  Google Scholar 

  4. Wang L, Hou J L, Ou J P. Moving force identification based on load shape function for a long-span bridge structure[J]. Chinese Journal of Computational Mechanics, 2012, 29(2): 153–158(Ch).

    Google Scholar 

  5. Wu S Q, Law S S. Statistical moving load identification including uncertainty[J]. Probabilistic Engineering Mechanics, 2012, 29(5):70–78.

    Article  Google Scholar 

  6. Ou J P, Li H. Structural health monitoring mainland China: Review and future trends[J]. Structural Health Monitoring-an International Journal, 2010, 9(3):219–231.

    Article  Google Scholar 

  7. Zhu H P, Yu J, Zhang J B. A summary review and advantages of vibration-based damage identification methods in structural health monitoring[J]. Engineering Mechanics, 2011, 28(2):1–11.

    Google Scholar 

  8. Zhang Q X, Duan Z D, Ukasz J, et al. Experimental validation of a fast dynamic load identification method based on load shape function[J]. Journal of Vibration and Shock, 2011, 30(9):98–102(Ch).

    Google Scholar 

  9. Au F T K, Jiang R J, Cheung Y K. Parameter identification of vehicles moving on continuous bridges[J]. Journal of Sound and Vibration, 2004, 269(1-2):91–111.

    Article  Google Scholar 

  10. Deng L, Cai C S. Identification of parameters of vehicles moving on bridge[J]. Engineering Structure, 2009, 31(10): 2474–2485.

    Article  Google Scholar 

  11. Xu B, He J, Rovekamp R, et al. Structural parameters and dynamic loading identification from incomplete measurements: Approach and validation[J]. Mechanical Systems and Signal Processing, 2012, 28(4): 244–257.

    Article  Google Scholar 

  12. John E M, Michael L, Michael F. The sensitivity method in finite element model updating: A tutorial[J]. Mechanical Systems and Signal Processing, 2011, 25(7): 2275–2296.

    Article  Google Scholar 

  13. Hernandez E M, Bernal D. Iterative finite element model updating in the time domain[J]. Mechanical Systems and Signal Processing, 2013, 34(1-2): 39–46.

    Article  Google Scholar 

  14. Cattarius J, Inman D J. Time domain analysis in smart structure[J]. Mechanical Systems and Signal Processing, 1997, 11(3): 409–423.

    Article  Google Scholar 

  15. Majumder L, Manohar C S. A time-domain approach for damage detection in beam structures using vibration data with a moving oscillator as an excitation source[J]. Journal of Sound and Vibration, 2003, 268(4): 699–716.

    Article  Google Scholar 

  16. Koh C G, Hong B, Liaw C Y. Parameter identification of large structural systems in time domain[J]. Journal of Structural Engineering, 2000, 126(8):957–963.

    Article  Google Scholar 

  17. Lu Z R, Law S S. Features of dynamic response sensitivity and its application in damage detection[J]. Journal of Sound and Vibration, 2007, 303(1-2):305–329.

    Article  Google Scholar 

  18. Bu J Q, Law S S, Zhu X Q, et al. Vehicle condition surveillance on continuous bridges based on response sensitivity[J]. Journal of Engineering Mechanics, 2006, 132(1): 78–86.

    Article  Google Scholar 

  19. Zhan J W, Xia H, Chen S Y, et al. Damage detection of bridges based on train-induced bridge response and sensitivity analysis[J]. Engineering Mechanics, 2011, 28(11): 38–44(Ch).

    Article  Google Scholar 

  20. Wu S Q, Law S S. Vehicle axle load identification on bridge deck with irregular road surface profile[J]. Engineering Structure, 2010, 33(4):591–601

    Google Scholar 

  21. Yu L, Chan T H T. Recent research on identification of moving loads on bridges[J]. Journal of Sound and Vibration, 2007, 305(3):3–21.

    Article  Google Scholar 

  22. Ding L, Hao H, Zhu X Q. Evaluation of dynamic vehicle axle loads on bridges with different surface condition[J]. Journal of Sound and Vibration, 2009, 323(1):826–848.

    Article  Google Scholar 

  23. Zou Z H, Ren W X. Finite Element Model Updating and Model Validation of Bridge Structures [M]. Beijing: China Communications Press, 2012(Ch).

    Google Scholar 

  24. Wang C, Ren W X, Huang T L. Physical parameter identification of time-varying structure based on discrete wavelet transform[J]. Journal of Central South University (Science and Technology), 2010, 41(2):655–660(Ch).

    Google Scholar 

  25. Li C L, Zhou C C, Li X, et al. A novel model for assessing the pore structure of tight sands and its application[J]. Applied Geophysics, 2010, 7(3): 283–291.

    Article  CAS  Google Scholar 

  26. Xu T H, Yang Y X. Condition of regularization solution superior to LS solution based on MSE principle[J]. Geomatics and Information Science of Wuhan University, 2004, 29(3): 223–226(Ch).

    Google Scholar 

  27. Zhang C, Song G Q. Bridge damage identification by finite element model updating with Tikhonov regularization and wavelet denoising[J]. Journal of Vibration Engineering, 2012, 25(1): 97–102(Ch).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaozhong Zhang.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (41402271), Guizhou Science and Technology Cooperation Project (LH [2016]7043), and Young Science and Technology Talents Growth Project of Guizhou Provincial Department of Education (KY-[2016]-282)

Biography: ZHANG Xiaozhong, male, Associate professor, Ph. D., research direction: soft matter physics.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, X., Sun, G., Sun, Y. et al. Simultaneous identification of vehicular parameters and structural damages in bridge. Wuhan Univ. J. Nat. Sci. 23, 84–92 (2018). https://doi.org/10.1007/s11859-018-1298-x

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11859-018-1298-x

Keywords

CLC number

Navigation