SpringerLink
Log in

Field Tests of Bridge Damage Detection by Using the Passive Tap-Scan Method

  • Conference paper
  • First Online:
Computational and Experimental Simulations in Engineering (ICCES 2023)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 145))

  • 616 Accesses

Abstract

In recent years, using a passing vehicle to detect damage has attracted extensive attention. Among these works, the tap-scan damage detection method can achieve a high signal to noise ratio by applying the tap** force at a sensitive frequency that is higher than the frequency band of environmental noises. Further analysis shows that this method can detect the stiffness transition of beam structures, because the vehicle acceleration is very sensitive to the stiffness gradient. This paper will further report the new design of the passive tap-scan damage detection vehicle updated for practical implementations. The results from two field tests are used to demonstrate that this vehicle can not only find the damage on beam surface, but also give the quantitative estimation of damage severity. All these findings demonstrate the practical potential of the passive tap-scan method.

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

Access this chapter

Log in via an institution
Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Rehman, S.K.U., Ibrahim, Z., Memon, S.A., et al.: Nondestructive test methods for concrete bridges: a review. Constr. Build. Mater. 107, 58–86 (2016)

    Article  Google Scholar 

  2. AASHTO: The Manual for Bridge Evaluation, 3rd edn. American Association of State Highway and Transportation Officials, Washington, DC (2018)

    Google Scholar 

  3. Cunha, A., Caetano, E., Magalhães, F., Moutinho, C.: Recent perspectives in dynamic testing and monitoring of bridges. Struct. Control. Health Monit. 20, 853–877 (2013)

    Article  Google Scholar 

  4. Carden, E.P., Fanning, P.: Vibration based condition monitoring: a review. Struct. Health Monit. 3(4), 355–377 (2004)

    Article  Google Scholar 

  5. Fu**o, Y., Siringoringo, D.M., Ikeda, Y., et al.: Research and implementations of structural monitoring for bridges and buildings in Japan. Engineering 5, 1093–1119 (2019)

    Article  Google Scholar 

  6. Figueiredo, E., Brownjohn, J.: Three decades of statistical pattern recognition paradigm for SHM of bridges. Struct. Health Monit. 21(6), 3018–3054 (2022)

    Article  Google Scholar 

  7. Farrar, C.R., Jauregui, D.A.: Comparative study of damage identification algorithms applied to a bridge: I. experiment. Smart Mater. Struct. 7, 704–719 (1998)

    Article  Google Scholar 

  8. **ang, Z.H., Zhang, Y.: Change of modal properties of simply-supported plane beams due to damages. Interact. Multiscale Mech. 2, 153–175 (2009)

    Article  Google Scholar 

  9. **ang, Z.H., Wang, L.Q., Zhou, M.S.: Suppressing damage identification errors from selected natural frequencies and mode shape points. Inverse Probl. Sci. Eng. 20, 871–890 (2012)

    Article  MathSciNet  Google Scholar 

  10. Yang, Y.B., Lin, C.W., Yau, J.D.: Extracting bridge frequencies from the dynamic response of a passing vehicle. J. Sound Vib. 272, 471–493 (2004)

    Article  Google Scholar 

  11. Lin, C.W., Yang, Y.B.: Use of a passing vehicle to scan the fundamental bridge frequencies: an experimental verification. Eng. Struct. 27, 1865–1878 (2005)

    Article  Google Scholar 

  12. Yang, Y.B., Yang, J.P., Zhang, B., Wu, Y.: Vehicle scanning method for bridges. Wiley, Hoboken (2019)

    Book  Google Scholar 

  13. Malekjafarian, A., Corbally, R., Gong, W.: A review of mobile sensing of bridges using moving vehicles: progress to date, challenges and future trends. Structures 44, 1466–1489 (2022)

    Article  Google Scholar 

  14. Zhang, Y., Wang, L.Q., **ang, Z.H.: Damage detection by mode shape squares extracted from a passing vehicle. J. Sound Vib. 33, 291–307 (2012)

    Article  Google Scholar 

  15. **, N., Dertimanis, V.K., Chatzi, E.N., et al.: Subspace identification of bridge dynamics via traversing vehicle measurements. J. Sound Vib. 523, 116690 (2022)

    Article  Google Scholar 

  16. González, A., Obrien, E.J., McGetrick, P.J.: Identification of dam** in a bridge using a moving instrumented vehicle. J. Sound Vib. 331, 4115–4131 (2012)

    Article  Google Scholar 

  17. Yang, Y.B., Zhang, B., Chen, Y., et al.: Bridge dam** identification by vehicle scanning method. Eng. Struct. 183, 637–645 (2019)

    Article  Google Scholar 

  18. González, A., Obrien, E.J., Li, Y.Y., et al.: The use of vehicle acceleration measurements to estimate road roughness. Veh. Syst. Dyn. 46, 483–499 (2008)

    Article  Google Scholar 

  19. Zhan, Y., Au, F.T.K.: Bridge surface roughness identification based on vehicle-bridge interaction. Int. J. Struct. Stab. Dyn. 19, 1950069 (2019)

    Article  MathSciNet  Google Scholar 

  20. Bu, J.Q., Law, S.S., Zhu, X.Q.: Innovative bridge condition assessment from dynamic response of a passing vehicle. J. Eng. Mech. 132, 1372–1378 (2006)

    Article  Google Scholar 

  21. **ang, Z.H., Dai, X.W., Zhang, Y., et al.: The tap-scan method for damage detection of bridge structures. Interact. Multiscale Mech. 3, 173–191 (2010)

    Article  Google Scholar 

  22. Zhang, Y., Lie, S.T., **ang, Z.H.: Damage detection method based on operating deflection shape curvature extracted from dynamic response of a passing vehicle. Mech. Syst. Signal Process. 35, 238–254 (2013)

    Article  Google Scholar 

  23. **ang, Z.H., Lu, Q.H.: Elasto-dynamic damage evaluation of bridges. In: Handbook of Damage Mechanics: Nano to Macro Scale for Materials and Structures, pp. 589–618. Springer, New York (2015)

    Chapter  Google Scholar 

  24. Hu, Z.Y., **ang, Z.H., Lu, Q.H.: Passive Tap-scan damage detection method for beam structures. Struct. Control. Health Monit. 27, e2510 (2020)

    Article  Google Scholar 

  25. Yang, D.S., Wang, C.M.: Bridge damage detection using reconstructed mode shape by improved vehicle scanning method. Eng. Struct. 263, 114373 (2022)

    Article  Google Scholar 

  26. Corbally, R., Malekjafarian, A.: Bridge damage detection using operating deflection shape ratios obtained from a passing vehicle. J. Sound Vib. 537, 117225 (2022)

    Article  Google Scholar 

  27. Hu, Z.Y., Lin, P., Guo, H., Zhang, Y.M., **ang, Z.H.: Detect the stiffness transition in beam structures by using the passive tap-scan method. Mech. Syst. Signal Process. 192, 110211 (2023)

    Article  Google Scholar 

Download references

Funding

This work was supported by the grant 2021-ZJYHZDXM-06 from CCCC Infrastructure Maintenance Group Co., Ltd., China.

Author information

Authors and Affiliations

  1. CCCC Road & Bridge Inspection & Maintenance Co., Ltd, Bei**g, China

    ** Lin, He Guo & Lei Qiao

  2. CCCC Infrastructure Maintenance Group Co., Ltd, Bei**g, China

    ** Lin, He Guo & Lei Qiao

  3. Department of Engineering Mechanics, Tsinghua University, Bei**g, 100084, China

    Zhuyou Hu & Zhihai **ang

Authors
  1. ** Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhuyou Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. He Guo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lei Qiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhihai **ang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhihai **ang .

Editor information

Editors and Affiliations

  1. Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, USA

    Shaofan Li

Ethics declarations

Conflict of Interest

The authors declare that they have no conflicts of interest to report regarding the present study.

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lin, P., Hu, Z., Guo, H., Qiao, L., **ang, Z. (2024). Field Tests of Bridge Damage Detection by Using the Passive Tap-Scan Method. In: Li, S. (eds) Computational and Experimental Simulations in Engineering. ICCES 2023. Mechanisms and Machine Science, vol 145. Springer, Cham. https://doi.org/10.1007/978-3-031-42987-3_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-42987-3_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42986-6

  • Online ISBN: 978-3-031-42987-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation