Monitoring the Condition of Narrow Bridges Using Data from Rotation-Based and Strain-Based Bridge Weigh-in-Motion Systems
Publication: Journal of Bridge Engineering
Volume 27, Issue 7
Abstract
This study investigates the concept that when localized bridge superstructure damage is present, the weights of passing vehicles inferred from a rotation-based bridge weigh-in-motion (B-WIM) system will deviate from those predicted by a strain-based B-WIM system. Rotation measurements were gathered from a 5.4-m simply supported laboratory model bridge crossed repeatedly by a four-axle model vehicle. Damage was incorporated by bolting stiffening plates onto localized sections of the test bridge. This “negative damage” concept, consisting of local increases in stiffness, allows several damage scenarios to be investigated on the test bridge. The experimental results show that when negative damage is present, rotation-calculated gross vehicle weights decrease, while strain-calculated gross vehicle weights remain unchanged. It is also shown that the approximate location of damage can be identified.
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Acknowledgments
The authors would like to express their gratitude for the financial support received from European Project on Strengthening Infrastructure Risk Management in the Atlantic Area (SIRMA).
References
Abdoli Oskoui, E., T. Taylor, and F. Ansari. 2019. “Method and sensor for monitoring weight of trucks in motion based on bridge girder end rotations.” Struct. Infrastruct. Eng. 16: 1–14. https://doi.org/10.1080/15732479.2019.1668436.
Alten, K., M. Ralbovsky, A. Vorwagner, H. Toplitzer, and S. Wittmann. 2017. “Evaluation of different monitoring techniques during damage infliction on structures.” Procedia Eng. 199: 1840–1845. https://doi.org/10.1016/j.proeng.2017.09.106.
Brownjohn, J. 2007. “Structural health monitoring of civil infrastructure.” Philos. Trans. R. Soc. London, Ser. A 365: 589–622. https://doi.org/10.1098/rsta.2006.1925.
Bruns, D. G. 2017. “An optically referenced inclinometer with sub-microradian repeatability.” Rev. Sci. Instrum. 88 (11): 115111. https://doi.org/10.1063/1.5010202.
Cantero, D., and A. Gonzalez. 2015. “Bridge damage detection using weigh-in-motion technology.” J. Bridge Eng. 20 (5): 04014078. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000674.
Cantero, D., R. Karoumi, and A. González. 2015. “The virtual axle concept for detection of localised damage using bridge weigh-in-motion data.” Eng. Struct. 89: 26–36. https://doi.org/10.1016/j.engstruct.2015.02.001.
Carden, E. P., and P. Fanning. 2004. “Vibration based condition monitoring: A review.” Struct. Health Monit. 3 (4): 355–377. https://doi.org/10.1177/1475921704047500.
Deraemaeker, A., E. Reynders, G. De Roeck, and J. Kullaa. 2008. “Vibration-based structural health monitoring using output-only measurements under changing environment.” Mech. Syst. Sig. Process. 22 (1): 34–56. https://doi.org/10.1016/j.ymssp.2007.07.004.
Doebling, S. W., C. R. Farrar, M. B. Prime, and D. W. Shevitz. 1996. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review. Technical Rep. LA-13070-MS; Other: ON: DE96012168; TRN: 96:003834. Washington, DC: U.S. Dept. of Energy.
Fan, W., and P. Qiao. 2011. “Vibration-based damage identification methods: A review and comparative study.” Struct. Health Monit. 10: 83–111. https://doi.org/10.1177/1475921710365419.
Farrar, C. R., and K. Worden. 2007. “An introduction to structural health monitoring.” Philos. Trans. A Math. Phys. Eng. Sci. 365 (1851): 303–315. https://doi.org/10.1098/rsta.2006.1928.
Faulkner, K., F. Huseynov, J. Brownjohn, and Y. Xu. 2018. “Deformation monitoring of a simply supported railway bridge under varying dynamic loads.” In Maintenance, safety, risk, management and life-cycle performance of bridges, edited by N. Powers, D. M. Frangopol, R. Al-Mahaidi, and C. Caprani, 1484–1491. London: CRC Press.
Ghali, A., A. M. Neville, and T. G. Brown. 2009. Structural analysis: A unified classical and matrix approach. 6th ed. London: Spon.
Gonzalez, I., and R. Karoumi. 2015. “BWIM aided damage detection in bridges using machine learning.” J. Civ. Struct. Health Monit. 5: 715–725. https://doi.org/10.1007/s13349-015-0137-4.
Hajializadeh, D., A. Žnidarič, J. Kalin, and E. J. OBrien. 2020. “Development and testing of a railway bridge weigh-in-motion system.” Appl. Sci. 10 (14): 4708. https://doi.org/10.3390/app10144708.
Heitner, B., F. Schoefs, E. OBrien, A. Žnidarič, and T. Yalamas. 2020. “Using the unit influence line of a bridge to track changes in its condition.” J. Civ. Struct. Health Monit. 10 (4): 667–678. https://doi.org/10.1007/s13349-020-00410-7.
Hester, D., J. Brownjohn, F. Huseynov, E. OBrien, A. Gonzalez, and M. Casero. 2019. “Identifying damage in a bridge by analysing rotation response to a moving load.” Struct. Infrastruct. Eng. 16: 1–16. https://doi.org/10.1080/15732479.2019.1680710.
Hester, D., and A. González. 2012. “A wavelet-based damage detection algorithm based on bridge acceleration response to a vehicle.” Mech. Syst. Sig. Process. 28: 145–166. https://doi.org/10.1016/j.ymssp.2011.06.007.
Hu, C., and M. T. Afzal. 2006. “A statistical algorithm for comparing mode shapes of vibration testing before and after damage in timbers.” J. Wood Sci. 52 (4): 348–352. https://doi.org/10.1007/s10086-005-0769-9.
Huang, N. E., K. Huang, and W.-L. Chiang. 2005. “HHT based bridge structural health monitoring method.” In Hilbert-Huang transform and its applications, edited by N. E. Huang, and S. S. P. Shen, 263–287. Singapore: World Scientific.
Huseynov, F., C. Kim, E. J. OBrien, J. M. W. Brownjohn, D. Hester, and K. C. Chang. 2020. “Bridge damage detection using rotation measurements–experimental validation.” Mech. Syst. Sig. Process. 135: 106380. https://doi.org/10.1016/j.ymssp.2019.106380.
ISO. 2016. Mechanical vibration—Road surface profiles—Reporting of measured data. ISO 8608:2016(en). Geneva: ISO.
Jacob, B., E. Obrien, and S. Jehaes. 2002. Weigh-in-motion of road vehicles, COST 323. Final Rep. Paris: Laboratoire Central des Ponts et Chaussées.
Lee, J. J., J. W. Lee, J. H. Yi, C. B. Yun, and H. Y. Jung. 2005. “Neural networks-based damage detection for bridges considering errors in baseline finite element models.” J. Sound Vib. 280 (3): 555–578. https://doi.org/10.1016/j.jsv.2004.01.003.
Liljencrantz, A., R. Karoumi, and P. Olofsson. 2007. “Implementing bridge weigh-in-motion for railway traffic.” Comput. Struct. 85: 80–88. https://doi.org/10.1016/j.compstruc.2006.08.056.
Lydon, M., S. E. Taylor, D. Robinson, A. Mufti, and E. J. O. Obrien. 2016. “Recent developments in bridge weigh in motion (B-WIM).” J. Civ. Struct. Health Monit. 6: 69–81. https://doi.org/10.1007/s13349-015-0119-6.
Makki Alamdari, M., K. Kildashti, B. Samali, and H. Valipour. 2019. “Damage diagnosis in bridge structures using rotation influence line: Validation on a cable-stayed bridge.” Eng. Struct. 185: 1–14. https://doi.org/10.1016/j.engstruct.2019.01.124.
McGeown, C., F. Huseynov, D. Hester, P. McGetrick, E. J. Obrien, and V. Pakrashi. 2021. “Using measured rotation on a beam to detect changes in its structural condition.” J. Struct. Integrity Maint. 6 (3): 159–166. https://doi.org/10.1080/24705314.2021.1906092.
Messina, A., E. J. Williams, and T. Contursi. 1998. “Structural damage detection by a sensitivity and statistical-based method.” J. Sound Vib. 216 (5): 791–808. https://doi.org/10.1006/jsvi.1998.1728.
Moravvej, M., M. El-Badry, and P. Joulani. 2017. “Reference-free damage identification in bridges using relative wavelet entropy.” Can. Civ. Eng. Mag. 34: 18–21.
Moser, P., and B. Moaveni. 2011. “Environmental effects on the identified natural frequencies of the Dowling Hall Footbridge.” Mech. Syst. Sig. Process. 25 (7): 2336–2357. https://doi.org/10.1016/j.ymssp.2011.03.005.
Moses, F. 1979. “Weigh-in-motion system using instrumented bridges.” Transp. Eng. J. 105 (3): 233–249. https://doi.org/10.1061/TPEJAN.0000783.
Nandwana, B. P., and S. K. Maiti. 1997. “Detection of the location and size of a crack in stepped cantilever beams based on measurements of natural frequencies.” J. Sound Vib. 203 (3): 435–446. https://doi.org/10.1006/jsvi.1996.0856.
OBrien, E., C. Carey, and J. Keenahan. 2015. “Bridge damage detection using ambient traffic and moving force identification.” Struct. Control Health Monit. 22: 1396–1407. https://doi.org/10.1002/stc.1749.
OBrien, E., M. A. Khan, D. P. McCrum, and A. Žnidarič. 2020a. “Using statistical analysis of an acceleration-based bridge weigh-in-motion system for damage detection.” Appl. Sci. 10 (2): 663. https://doi.org/10.3390/app10020663.
OBrien, E. J., J. M. W. Brownjohn, D. Hester, F. Huseynov, and M. Casero. 2021. “Identifying damage on a bridge using rotation-based bridge weigh-in-motion.” J. Civ. Struct. Health Monit. 11: 175–188. https://doi.org/10.1007/s13349-020-00445-w.
OBrien, E. J., P. C. Fitzgerald, A. Malekjafarian, and E. Sevillano. 2017. “Bridge damage detection using vehicle axle-force information.” Eng. Struct. 153: 71–80. https://doi.org/10.1016/j.engstruct.2017.10.012.
OBrien, E. J., B. Heitner, A. Žnidarič, F. Schoefs, G. Causse, and T. Yalamas. 2020b. “Validation of bridge health monitoring system using temperature as a proxy for damage.” Struct. Control Health Monit. 27 (9): e2588. https://doi.org/10.1002/stc.2588.
OBrien, E. J., M. Quilligan, and R. Karoumi. 2006. “Calculating an influence line from direct measurements.” Bridge Eng. 159 (1): 31–34.
Ojio, T., C. H. Carey, E. J. OBrien, C. Doherty, and S. E. Taylor. 2016. “Contactless bridge weigh-in-motion.” J. Bridge Eng. 21 (7): 04016032. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000776.
Quilligan, M., R. Karoumi, and E. Obrien. 2002. “Development and testing of a 2-dimensional multi-vehicle bridge-WIM algorithm.” In Proc., 3rd Int. Conf. on Weigh-in-Motion, 199–208. Dübendorf, Switzerland: International Society for Weigh-In-Motion.
Pakrashi, V., J. Harkin, J. Kelly, A. Farrell, and S. Nanukuttan. 2013. “Monitoring and repair of an impact damaged prestressed bridge.” Proc. ICE - Bridge Eng. 166: 16–29. https://doi.org/10.1680/bren.10.00057.
Peeters, B., and G. De Roeck. 2001. “One-year monitoring of the Z24-bridge: Environmental effects versus damage events.” Earthquake Eng. Struct. Dyn. 30 (2): 149–171. https://doi.org/10.1002/1096-9845(200102)30:2%3C149::AID-EQE1%3E3.0.CO;2-Z.
Richardson, J., S. Jones, A. Brown, E. J. O’Brien, and D. Hajializadeh. 2014. “On the use of bridge weigh-in-motion for overweight truck enforcement.” Int. J. Heavy Veh. Syst. 21 (2): 83–104. https://doi.org/10.1504/IJHVS.2014.061632.
Roveri, N., and A. Carcaterra. 2012. “Damage detection in structures under traveling loads by Hilbert–Huang transform.” Mech. Syst. Sig. Process. 28: 128–144. https://doi.org/10.1016/j.ymssp.2011.06.018.
Rytter, A. 1993. “Vibrational based inspection of civil engineering structures.” Ph.D. thesis, Dept. of Building Technology and Structural Engineering, Aalborg Univ. Fracture and Dynamics Vol. R9314 No. 44.
Salawu, O. S. 1997. “Detection of structural damage through changes in frequency: A review.” Eng. Struct. 19 (9): 718–723. https://doi.org/10.1016/S0141-0296(96)00149-6.
Shoukry, S. N., G. W. William, B. Downie, and M. Y. Riad. 2011. “Effect of moisture and temperature on the mechanical properties of concrete.” Constr. Build. Mater. 25 (2): 688–696. https://doi.org/10.1016/j.conbuildmat.2010.07.020.
Sinha, J. K., M. I. Friswell, and S. Edwards. 2002. “Simplified models for the location of cracks in beam structures using measured vibration data.” J. Sound Vib. 251 (1): 13–38. https://doi.org/10.1006/jsvi.2001.3978.
Sohn, H., M. Dzwonczyk, E. G. Straser, A. S. Kiremidjian, K. H. Law, and T. Meng. 1999. “An experimental study of temperature effect on modal parameters of the Alamosa Canyon Bridge.” Earthquake Eng. Struct. Dyn. 28 (8): 879–897. https://doi.org/10.1002/(SICI)1096-9845(199908)28:8%3C879::AID-EQE845%3E3.0.CO;2-V.
Teughels, A., and G. De Roeck. 2004. “Structural damage identification of the highway bridge Z24 by FE model updating.” J. Sound Vib. 278 (3): 589–610. https://doi.org/10.1016/j.jsv.2003.10.041.
Tripura, T., B. Bhowmik, V. Pakrashi, and B. Hazra. 2020. “Real-time damage detection of degrading systems.” Struct. Health Monit. 19 (3): 810–837. https://doi.org/10.1177/1475921719861801.
Wu, C.-M., and Y.-T. Chuang. 2004. “Roll angular displacement measurement system with microradian accuracy.” Sens. Actuators, A 116 (1): 145–149. https://doi.org/10.1016/j.sna.2004.04.005.
Yu, L., and T. H. T. Chan. 2007. “Recent research on identification of moving loads on bridges.” J. Sound Vib. 305 (1): 3–21. https://doi.org/10.1016/j.jsv.2007.03.057.
Zhang, W. W., Z. H. Wang, and H. W. Ma. 2009. “Studies on wavelet packet-based crack detection for a beam under the moving load.” Key Eng. Mater. 413–414: 285–290. https://doi.org/10.4028/www.scientific.net/KEM.413-414.285.
Zhao, H., N. Uddin, E. J. Obrien, X. Shao, and P. Zhu. 2014. “Identification of vehicular axle weights with a bridge weigh-in-motion system considering transverse distribution of wheel loads.” J. Bridge Eng. 19: 04013008. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000533.
Zhu, X. Q., and S. S. Law. 2006. “Wavelet-based crack identification of bridge beam from operational deflection time history.” Int. J. Solids Struct. 43 (7): 2299–2317. https://doi.org/10.1016/j.ijsolstr.2005.07.024.
Žnidarič, A., J. Kalin, and M. Kreslin. 2018. “Improved accuracy and robustness of bridge weigh-in-motion systems.” Struct. Infrastruct. Eng. 14 (4): 412–424. https://doi.org/10.1080/15732479.2017.1406958.
Žnidarič, A., and J. Kalin. 2020. “Using bridge weigh-in-motion systems to monitor single-span bridge influence lines.” J. Civ. Struct. Health Monit. 10 (5): 743–756. https://doi.org/10.1007/s13349-020-00407-2.
Žnidarič, A., I. Lavri, J. Kalin, and M. Kreslin. 2012. “Using strips to mitigate the multiple-presence problem of BWIM systems.” In Proc. 6th Int. Conf. Weigh Motion, 89–98. Dübendorf, Switzerland: International Society for Weigh-In-Motion.
Žnidarič, A., V. Pakrashi, E. OBrien, and A. O’Connor. 2011. “A review of road structure data in six European countries.” Proc. Inst. Civ. Eng. Urban Plann. Des. 164: 225–232. https://doi.org/10.1680/udap.900054.
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Published In
Journal of Bridge Engineering
Volume 27 • Issue 7 • July 2022
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jul 19, 2021
Accepted: Feb 4, 2022
Published online: May 3, 2022
Published in print: Jul 1, 2022
Discussion open until: Oct 3, 2022
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