Real-Time Dynamic Warning on Deflection Abnormity of Cable-Stayed Bridges Considering Operational Environment Variations
Publication: Journal of Performance of Constructed Facilities
Volume 35, Issue 1
Abstract
Long-span bridges face various threats every day due to their sophisticated operational environments. To investigate the operational state of bridges, a real-time dynamic warning method on the abnormity of cable-stayed bridges is proposed based on deflection measurements. The generalized Pareto distribution (GPD) model and finite-element (FE) calculation are used to determine the basic warning threshold. Considering the complicated components of the monitoring deflection signals (e.g., measurement noise, thermal effect, and vehicle load-induced effect), each signal component should be further modeled and investigated to improve the accuracy and effectiveness of the warning system. Because thermal effects are usually not the signal component of interest that may cover the signal fluctuation induced by abnormity, they should be separated from the raw signals. Then, in view of the variations of operational condition over time, the warning threshold is updated termly according to the operational period by using statistical approaches. Finally, the effectiveness of the proposed warning methodology is validated by analyzing the recorded deflection data from the third Nanjing Yangtze River Bridge. As a result, the proposed dynamic warning method is more effective than the conventional static one and will help bridge management departments identify emergencies in time and take inspection or maintenance decisions to ensure structural safety.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
The research reported in this paper was supported by the Natural Science Foundation of Jiangsu Province under Grant No. BK20181278, Transportation Science Research Project in Jiangsu under Grant No. 2019Z02, the Postgraduate Research & Practice Innovation Program of Jiangsu Province under Grant No. KYCX19_0099, and the Fundamental Research Funds for the Central Universities.
References
Bell, E. S., P. J. Lefebvre, M. Sanayei, B. Brenner, J. D. Sipple, and J. Peddle. 2013. “Objective load rating of a steel-girder bridge using structural modeling and health monitoring.” J. Struct. Eng. 139 (10): 1771–1779. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000599.
Brownjohn, J. M. W., K. Y. Koo, A. Scullion, and D. List. 2015. “Operational deformations in long-span bridges.” Struct. Infrastruct. Eng. 11 (4): 556–574. https://doi.org/10.1080/15732479.2014.951857.
Cao, Y., J. Yim, Y. Zhao, and M. L. Wang. 2011. “Temperature effects on cable stayed bridge using health monitoring system: A case study.” Struct. Health Monit. 10 (5): 523–537. https://doi.org/10.1177/1475921710388970.
Catbas, F. N., M. Susoy, and D. M. Frangopol. 2008. “Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data.” J. Eng. Struct. 30 (9): 2347–2359. https://doi.org/10.1016/j.engstruct.2008.01.013.
Deng, L., and C. S. Cai. 2009. “Bridge model updating using response surface method and genetic algorithm.” J. Bridge Eng. 15 (5): 553–564. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000092.
Deng, Y., A. Q. Li, S. R. Chen, and D. M. Feng. 2018. “Serviceability assessment for long-span suspension bridge based on deflection measurements.” Struct. Control Health Monit. 25 (11): e2254. https://doi.org/10.1002/stc.2254.
Ding, Y. L., A. Q. Li, and Y. Deng. 2010. “Structural damage warning of a long-span cable-stayed bridge using novelty detection technique based on wavelet packet analysis.” Adv. Struct. Eng. 13 (2): 291–298. https://doi.org/10.1260/1369-4332.13.2.291.
Holmes, J., and W. Moriarty. 1999. “Application of the generalized Pareto distribution to extreme value analysis in wind engineering.” J. Wind Eng. Ind. Aerodyn. 83 (1–3): 1–10. https://doi.org/10.1016/S0167-6105(99)00056-2.
Huang, H. B., T. H. Yi, H. N. Li, and H. Liu. 2018. “New representative temperature for performance alarming of bridge expansion joints through temperature-displacement relationship.” J. Bridge Eng. 23 (7): 04018043. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001258.
Kotz, S., and S. Nadarajah. 2000. Extreme value distributions: Theory and applications. London: Imperial College Press.
Kromanis, R., and P. Kripakaran. 2014. “Predicting thermal response of bridges using regression models derived from measurement histories.” Comput. Struct. 136 (May): 64–77. https://doi.org/10.1016/j.compstruc.2014.01.026.
Kromanis, R., and P. Kripakaran. 2017. “Data-driven approaches for measurement interpretation: Analysing integrated thermal and vehicular response in bridge structural health monitoring.” Adv. Eng. Inform. 34 (Oct): 46–59. https://doi.org/10.1016/j.aei.2017.09.002.
Lee, J., S. P. Chang, H. Kim, and K. G. Yoon. 2006. “Statistical time series analysis of long-term monitoring results of a cable-stayed bridge.” In Bridge maintenance, safety, management, life-cycle performance and cost. Boca Raton, FL: CRC Press.
Liu, X., Q. Huang, Y. Ren, and Y. Fan. 2016. “Assessment and early warning on the monitoring girder deflection of the long-span steel cable-stayed bridge.” [In Chinese.] J. Hunan Univ. 43 (9): 98–104. https://doi.org/10.3969/j.issn.1674.2016.09.013.
Liu, Y., Y. Deng, and C. S. Cai. 2015. “Deflection monitoring and assessment for a suspension bridge using a connected pipe system: A case study in China.” Struct. Control Health Monit. 22 (12): 1408–1425. https://doi.org/10.1002/stc.1751.
Mao, J. X., H. Wang, and J. Li. 2019. “Fatigue reliability assessment of a long-span cable-stayed bridge based on one-year monitoring strain data.” J. Bridge Eng. 24 (1): 05018015. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001337.
Mehrabi, A. B. 2016. “Performance of cable-stayed bridges: Evaluation methods, observations, and a rehabilitation case.” J. Perform. Constr. Facil. 30 (1): C4014007. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000715.
Meng, Q. L., and J. S. Zhu. 2018. “Fine temperature effect analysis-based time-varying dynamic properties evaluation of long-span suspension bridges in natural environments.” J. Bridge Eng. 23 (10): 04018075. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001279.
Ministry of Transport of P.R. China. 2007. Guidelines for design of highway cable-stayed bridge. Beijing: Ministry of Transport of P.R. China.
Ministry of Transport of P.R. China. 2015. General specifications for design of highway bridges and culverts. Beijing: Ministry of Transport of P.R. China.
Potgieter, I. C., and W. L. Gamble. 1983. Response of highway bridges to nonlinear temperature distributions. Champaign, IL: Univ. of Illinois at Urbana-Champaign.
Reda Taha, M. M., A. Noureldin, J. L. Lucero, and T. J. Baca. 2006. “Wavelet transform for structural health monitoring: A compendium of uses and features.” Struct. Health Monit. 5 (3): 267–295. https://doi.org/10.1177/1475921706067741.
Rodrigues, C., C. Felix, and J. Figueiras. 2011. “Fiber-optic-based displacement transducer to measure bridge deflections.” Struct. Health Monit. 10 (2): 147–156. https://doi.org/10.1177/1475921710373289.
Tomé, E. S., M. Pimentel, and J. Figueiras. 2018. “Structural response of a concrete cable-stayed bridge under thermal loads.” Eng. Struct. 176 (Dec): 652–672. https://doi.org/10.1016/j.engstruct.2018.09.029.
Wang, J. F., J. T. Zhang, R. Q. Xu, and Z. X. Yang. 2019. “Evaluation of thermal effects on cable forces of a long-span prestressed concrete cable stayed bridge.” J. Perform. Constr. Facil. 33 (6): 04019072. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001348.
Xia, Y., B. Chen, X. Q. Zhou, and Y. L. Xu. 2013. “Field monitoring and numerical analysis of Tsing Ma suspension bridge temperature behavior.” Struct. Control Health Monit. 20 (4): 560–575. https://doi.org/10.1002/stc.515.
Xu, X., Q. Huang, Y. Ren, D. Zhao, D. Zhang, and H. Sun. 2019a. “Condition evaluation of suspension bridges for maintenance, repair and rehabilitation: A comprehensive framework.” Struct. Infrastruct. Eng. 15 (4): 555–567. https://doi.org/10.1080/15732479.2018.1562479.
Xu, X., Q. Huang, Y. Ren, D. Y. Zhao, J. Yang, and D. Y. Zhang. 2019b. “Modeling and separation of thermal effects from cable-stayed bridge response.” J. Bridge Eng. 24 (5): 04019028. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001387.
Xu, X., Y. Ren, Q. Huang, Z. Fan, Z. Tong, W. Chang, and B. Liu. 2020. “Anomaly detection for large span bridges during operational phase using structural health monitoring data.” Smart Mater. Struct. 29 (4): 045029. https://doi.org/10.1088/1361-665X/ab79b3.
Xu, Z. D., and Z. S. Wu. 2007. “Simulation of the effect of temperature variation on damage detection in a long-span cable-stayed bridge.” Struct. Health Monit. Int. J. 6 (3): 177–189. https://doi.org/10.1177/1475921707081107.
Yang, D. H., T. H. Yi, H. N. Li, and Y. F. Zhang. 2018. “Correlation-based estimation method for cable-stayed bridge girder deflection variability under thermal action.” J. Perform. Constr. Facil. 32 (5): 04018070. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001212.
Zhao, H. W., Y. L. Ding, S. Nagarajaiah, and A. Q. Li. 2019. “Behavior analysis and early warning of girder deflections of a steel-truss arch railway bridge under the effects of temperature and trains: Case study.” J. Bridge Eng. 24 (1): 05018013. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001327.
Zhou, G. D., T. H. Yi, B. Chen, and X. Chen. 2018. “Modeling deformation induced by thermal loading using long-term bridge monitoring data.” J. Perform. Constr. Facil. 32 (3): 04018011. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001154.
Zhou, Y., and L. Sun. 2019. “Insights into temperature effects on structural deformation of a cable-stayed bridge based on structural health monitoring.” Struct. Health Monit. 18 (3): 778–791. https://doi.org/10.1177/1475921718773954.
Zhu, Y., Y. Fu, W. Chen, and S. Huang. 2006. “Online deflection monitoring system for Dafosi cable-stayed bridge.” J. Intell. Mater. Syst. Struct. 17 (8–9): 701–707. https://doi.org/10.1177/1045389X06055826.
Zhu, Y. J., Y. Q. Ni, A. Jesus, J. L. Liu, and I. Laory. 2018. “Thermal strain extraction methodologies for bridge structural condition assessment.” Smart Mater. Struct. 27 (10): 105051. https://doi.org/10.1088/1361-665X/aad5fb.
Zhu, Y. J., Y. Q. Ni, H. Jin, D. Inaudi, and I. Laory. 2019. “A temperature-driven MPCA method for structural anomaly detection.” Eng. Struct. 190 (Jul): 447–458. https://doi.org/10.1016/j.engstruct.2019.04.004.
Information & Authors
Information
Published In
Journal of Performance of Constructed Facilities
Volume 35 • Issue 1 • February 2021
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Sep 26, 2019
Accepted: Jul 21, 2020
Published online: Oct 18, 2020
Published in print: Feb 1, 2021
Discussion open until: Mar 18, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.