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A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence lines of different lanes

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Abstract

A real-time vehicle monitoring is crucial for effective bridge maintenance and traffic management because overloaded vehicles can cause damage to bridges, and in some extreme cases, it will directly lead to a bridge failure. Bridge weigh-in-motion (BWIM) system as a high performance and cost-effective technology has been extensively used to monitor vehicle speed and weight on highways. However, the dynamic effect and data noise may have an adverse impact on the bridge responses during and immediately following the vehicles pass the bridge. The fast Fourier transform (FFT) method, which can significantly purify the collected structural responses (dynamic strains) received from sensors or transducers, was used in axle counting, detection, and axle weighing technology in this study. To further improve the accuracy of the BWIM system, the field-calibrated influence lines (ILs) of a continuous multi-girder bridge were regarded as a reference to identify the vehicle weight based on the modified Moses algorithm and the least squares method. In situ experimental results indicated that the signals treated with FFT filter were far better than the original ones, the efficiency and the accuracy of axle detection were significantly improved by introducing the FFT method to the BWIM system. Moreover, the lateral load distribution effect on bridges should be considered by using the calculated average ILs of the specific lane individually for vehicle weight calculation of this lane.

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References

  1. Pais J C, Amorim S I, Minhoto M J. Impact of traffic overload on road pavement performance. Journal of Transportation Engineering, 2013, 139(9): 873–879

    Article  Google Scholar 

  2. Rys D, Judycki J, Jaskula P. Analysis of effect of overloaded vehicles on fatigue life of flexible pavements based on weigh in motion (WIM) data. International Journal of Pavement Engineering, 2016, 17(8): 716–726

    Article  Google Scholar 

  3. Yu Y, Cai C S, Deng L. State-of-the-art review on bridge weigh-in-motion technology. Advances in Structural Engineering, 2016, 19(9): 1514–1530

    Article  Google Scholar 

  4. Ojio T, Carey C H, O’Brien E J, Doherty C, Taylor S E. Contactless bridge weigh-in-motion. Journal of Bridge Engineering, 2016, 21(7): 04016032

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  7. Lydon M, Taylor S E, Robinson D, Mufti A, Brien E J O. Recent developments in bridge weigh in motion (B-WIM). Journal of Civil Structural Health Monitoring, 2016, 6(1): 69–81

    Article  Google Scholar 

  8. Snyder R, Moses F. Application of in-motion weighing using instrumented bridges. Transportation Research Record: Journal of the Transportation Research Board, 1985, 1048: 83–88

    Google Scholar 

  9. Park M S, Lee J, Kim S, Jang J H, Park Y H. Development and application of a BWIM system in a cable-stayed bridge. In: Proceedings of the 3rd International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-3). Vancouver: International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII), 2007, 13–16

    Google Scholar 

  10. O’Brien E J, Znidaric A, Ojio T. Bridge weigh-in-motion—Latest developments and applications worldwide. In: Proceedings of the International Conference on Heavy Vehicles. Paris: John Wiley & Sons, Inc., 2008, 19–22

    Google Scholar 

  11. Schmidt F, Jacob B, Servant C, Marchadour Y. Experimentation of a bridge WIM system in France and applications for bridge monitoring and overload detection. In: The 6th International Conference on Weigh-In-Motion (ICWIM6). Dallas: International Society for Weigh in Motion (ISWIM), 2012

    Google Scholar 

  12. Lydon M, Robinson D, Taylor S E, Amato G, Brien E JO, Uddin N. Improved axle detection for bridge weigh-in-motion systems using fiber optic sensors. Journal of Civil Structural Health Monitoring, 2017, 7(3): 325–332

    Article  Google Scholar 

  13. Sekiya H, Kubota K, Miki C. Simplified portable bridge weigh-in-motion system using accelerometers. Journal of Bridge Engineering, 2018, 23(1): 04017124

    Article  Google Scholar 

  14. Peters R J. AXWAY—A system to obtain vehicle axle weights. In: Australian Road Research Board Conference. Hobart: ARRB Group Limited, 1984

    Google Scholar 

  15. Peters R J. CULWAY, an unmanned and undetectable highway speed vehicle weighing system. In: Australian Road Research Board Proceedings. Adelaide: Australian Road Research Board (ARRB), 1986, 70–83

    Google Scholar 

  16. O’Brien E J, Znidaric A, Baumgärtner W, González A, McNulty P. Weighing-In-Motion of Axles and Vehicles for Europe (WAVE) WP1. 2: Bridge WIM Systems. Dublin: University College Dublin, 2001

    Google Scholar 

  17. Jacob B, O’Brien E J, Jehaes S. Weigh-in-motion of Road Vehicles: Final Report of the Cost 323 Action. Laboratoire Central des Ponts et Chausees (LCPC), 2002

  18. Moses F. Weigh-in-motion system using instrumented bridges. Journal of Transportation Engineering, 1979, 105(3): 233–249

    Google Scholar 

  19. Yamaguchi E, Kawamura S I, Matuso K, Matsuki Y, Naito Y. Bridge-Weigh-in-Motion by two-span continuous bridge with skew and heavy-truck flow in Fukuoka area, Japan. Advances in Structural Engineering, 2009, 12(1): 115–125

    Article  Google Scholar 

  20. O’Brien E, Favai P, Corbally R. Multiple-Equation Bridge Weigh-in-Motion. In: Proceedings of 2013 IABSE Symposium. Kolkata: International Association for Bridge and Structural Engineering (IABSE), 2013, 99(12): 1298–1305

    Google Scholar 

  21. Zhao Z, Uddin N, O’Brien E J. Bridge weigh-in-motion algorithms based on the field calibrated simulation model. Journal of Infrastructure Systems, 2017, 23(1): 04016021

    Article  Google Scholar 

  22. Ojio T, Yamada K. Bridge WIM by reaction force method. In: The 4th International Conference on Weigh-In-Motion. Taipei, China: International Society for Weigh in Motion (ISWIM), 2005

    Google Scholar 

  23. Bao T, Babanajad S K, Taylor T, Ansari F. Generalized method and monitoring technique for shear-strain-based bridge weigh-in-motion. Journal of Bridge Engineering, 2016, 21(1): 04015029

    Article  Google Scholar 

  24. Znidaric A, Lavric I, Kalin J. The next generation of bridge weigh-in-motion systems. In: The Third International Conference on Weigh-in-Motion (ICWIM3). Ames: Iowa State University, 2002, 219–229

    Google Scholar 

  25. McNulty P, O’Brien E J. Testing of bridge weigh-in-motion system in a sub-Arctic climate. Journal of Testing and Evaluation, 2003, 31(6): 497–506

    Google Scholar 

  26. O’Brien E J, Quilligan M, Karoumi R. Calculating an influence line from direct measurements. Proceedings of the Institution of Civil Engineers-Bridge Engineering, 2006, 159(BE1): 31–34

    Article  Google Scholar 

  27. O’Brien E J, Gonzalez A, Dowling J. A filtered measured influence line approach to bridge weigh-in-motion. In: The Fifth International IABMAS Conference: Bridge Maintenance, Safety Management and Life-Cycle Optimization. Philadelphia: Taylor & Francis (Routledge), 2010

    Google Scholar 

  28. Znidaric A, Dempsey A, Lavric I, Baumgaertner W. Bridge WIM systems without axle detectors. Weigh-in-Motion of Road Vehicles, WAVE Symposium, Final. Paris, France, 1999, 388–397

  29. Richardson J, Jones S, Brown A, O’Brien E J, Hajializadeh D. On the use of bridge weigh-in-motion for overweight truck enforcement. International Journal of Heavy Vehicle Systems, 2014, 21(2): 83–104

    Article  Google Scholar 

  30. Hibbeler R C. Structural Analysis. 7th ed. New Jersey: Pearson Prentice Hall, 2009

    Google Scholar 

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Acknowledgements

This research was supported by the Key Research Program and Development Program of Hunan Province (No. 2019SK2172), the National Natural Science Foundation of China (Grant No. 51178178), the Science and Technology Foundation of Guangdong Provincial Department of Transportation (2010-02-013). The support from these programs is gratefully acknowledged. The authors would also like to express their gratitude to the anonymous reviewers for their insightful and constructive comments.

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Authors and Affiliations

  1. Key Laboratory for Wind and Bridge Engineering of Hunan Province, College of Civil Engineering, Hunan University, Changsha, 410082, China

    Hanli Wu & Hua Zhao

  2. Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO, 65409, USA

    Hanli Wu & Jenny Liu

  3. Qingyuan Traffic and Transportation Bureau, Qingyuan, 511500, China

    Zhentao Hu

Authors
  1. Hanli Wu
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  2. Hua Zhao
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Correspondence to Hua Zhao.

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Wu, H., Zhao, H., Liu, J. et al. A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence lines of different lanes. Front. Struct. Civ. Eng. 14, 1232–1246 (2020). https://doi.org/10.1007/s11709-020-0653-0

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  • DOI: https://doi.org/10.1007/s11709-020-0653-0

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