Skip to main content
Log in

Detection of speed and axle configuration of moving vehicles using acoustic emission

  • Original Paper
  • Published:
Journal of Civil Structural Health Monitoring Aims and scope Submit manuscript

Abstract

Axle detection is a critical monitoring process that needs to be implemented on bridges so that the number of axles of crossing vehicles can be determined. Most bridge design codes specify bridge design loads based on certain trucks configurations. Reviewing and updating bridge design codes depend on an accurate measurement of the nature of the loads being transported across bridges. Measurement of axle loads and configuration of trucks is also essential for bridge load regulation and enforcement. In this paper, a new method is proposed for the accurate detection of velocity, number of axles, and configuration of moving vehicles on bridges. The proposed method uses the acoustic signals emitted when the tires of moving vehicles hit bridge expansion joints and was tested on a bridge in Morris, Manitoba, Canada. It was discovered that the proposed method accurately predicts the velocity, number of axles, and configuration of moving vehicles on bridges.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

References

  1. Zhang J, Lu Y, Lu Z, Liu C, Sun G, Li Z (2015) A new smart traffic monitoring method using embedded cement-based piezoelectric sensors. Smart Mater Struct 24(2):1–8

    Article  Google Scholar 

  2. Jeng ST, ChuS LY (2015) Tracking heavy vehicles based on weigh-in-motion and inductive loop signature technologies. IEEE Trans Intell Transp Syst 16(2):632–664

    Article  Google Scholar 

  3. Marszalek Z, Sroka R, Zeglen T (2015) Inductive loop for vehicle axle detection from first concepts to the system based on changes in the sensor impedance components. In: Proceedings of 20th international conference on methods and models in automation and robotics, 24–27 August 2015. Miedzyzdroje, Poland, pp 765–769

  4. Zhao H, Uddin N, O’Brien E, Shao X, Zhu P (2014) Identification of vehicular axle weights with a bridge weigh-in-motion system considering transverse distribution of wheel loads. J Bridge Eng 19(3):04013008

    Article  Google Scholar 

  5. Chatterjee P, OBrien E, Li Y, Gonza´lez A (2006) Wavelet domain analysis for identification of vehicle axles from bridge measurements. Comput Struct 84(28):1792–1801

    Article  Google Scholar 

  6. Ojio T, Yamada K (2002) Bridge weigh-in-motion systems using stringers of plate girder bridges. In: Third international conference on weigh-in-motion (ICWIM3), pp 209–218

  7. Dowling J, OBrien EJ, Gonzalez A (2012) Adaptation of cross entropy optimization to a dynamic bridge wim calibration problem. Eng Struct 44:13–22

    Article  Google Scholar 

  8. Zhao H, Uddin N, Shao X, Zhu P, Tan C (2015) Field-calibrated influence lines for improved axle weight identification with a bridge weigh-in motion system. Struct Infrastruct Eng 11(6):721–743

    Article  Google Scholar 

  9. O’Brien EJ, Quilligan MJ, Karoumi R (2006) Calculating an IL from direct measurements. In: Proceedings of the institution of civil engineers, bridge engineering, vol 159, pp 31–34

  10. O’Brien E, Hajializadeh D, Uddin N, Robinson D, Opitz R (2012) Strategies for axle detection in bridge weigh-in-motion systems. In: Proceedings of the international conference on weigh-in-motion (ICWIM 6), pp 79–88

  11. Myra L, Taylor SE, Robinson D, Mufti A, Brien EJO (2015) Recent developments in bridge weigh in motion (B-WIM). J Civil Struct Health Monit 6(1):69–81

    Google Scholar 

  12. Caprani CC, OBrien EJ, Blacoe S (2013) Vision systems for analysis of congested traffic assessment, upgrading and refurbishment of infrastructures. Rotterdam

  13. Ojio T, Carey C, OBrien E, Doherty E, Taylor S (2016) Contactless bridge weigh-in-motion. J Bridge Eng 21(7):1–27

    Article  Google Scholar 

  14. Bao T, Babanajad SK, Taylor T, Ansari F (2015) Generalized method and monitoring technique for shear-strain-based bridge weigh-in-motion. J Bridge Eng 21(1):04015029. https://doi.org/10.1061/%28ASCE%29BE.1943-5592.0000782

    Article  Google Scholar 

  15. Canadian Standards Association (2006) CAN/CSA-S6-06, Canadian Highway Bridge Design Code (CHBDC)

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to B. Algohi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Algohi, B., Mufti, A. & Thomson, D. Detection of speed and axle configuration of moving vehicles using acoustic emission. J Civil Struct Health Monit 8, 353–362 (2018). https://doi.org/10.1007/s13349-018-0281-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13349-018-0281-8

Keywords

Navigation