DOI QR코드

DOI QR Code

Performance assessment of bridges using short-period structural health monitoring system: Sungsu bridge case study

  • Kaloop, Mosbeh R. (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Elsharawy, Mohamed (Civil and Construction Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University) ;
  • Abdelwahed, Basem (Structural Engineering Department, College of Engineering, Mansoura University) ;
  • Hu, Jong Wan (Department of Civil and Environmental Engineering, Incheon National University) ;
  • Kim, Dongwook (Department of Civil and Environmental Engineering, Incheon National University)
  • 투고 : 2020.04.05
  • 심사 : 2020.07.06
  • 발행 : 2020.11.25

초록

This study aims at reporting a systematic procedure for evaluating the static and dynamic structural performance of steel bridges based on a short-period structural health monitoring measurement. Sungsu bridge located in Korea is considered as a case study presenting the most recent tests carried out to examine the bridge condition. Short-period measurements of Structural Health Monitoring (SHM) system were used during the bridge testing phase. A novel symmetry index is introduced using statistical analyses of deflection and strain measurements. Frequency Domain Decomposition (FDD) is implemented to the strain measurements to estimate the bridge mode shapes and damping ratios. Furthermore, Markov Chain Monte Carlo (MCMC) is also implemented to examine the reliability of bridge performance while ambient design trucks are in static or moving at different speeds. Strain, displacement and acceleration were measured at selected locations on the bridge. The results show that the symmetry index can be an efficient and useful measure in assessing the steel bridge performance. The results from the used method reveal that the performance of the Sungsu bridge is safe under operational conditions.

키워드

과제정보

This work was supported by Post-Doctor Research Program in 2019 through the Incheon National University (INU), Incheon, South Korea.

참고문헌

  1. Abbas, M. and Mahmood, S. (2018), "Structural health monitoring (SHM) and determination of surface defects in large metallic structures using ultrasonic guided waves", Sensors, 18(11), e3958. https://doi.org/10.3390/s18113958.
  2. Akkose, M., Hugo, C. and Maria, Q. (2017), "Modal response identification of a highway bridge under traffic loads using frequency domain decomposition (FDD)", Chall. J. Struct. Mech., 3(2), 63-71. https://doi.org/10.20528/cjsmec.2017.03.009.
  3. Barker, M., Imhoff, C., McDaniel, W.T. and Frederick, T.L. (1999), "Field testing and load rating procedures for steel girder bridges", Report-RDT 99-004, University of Missouri, Columbia, USA.
  4. Beck, J.L. and Au, S. (2002), "Bayesian updating of structural models and reliability using Markov chain Monte Carlo simulation", J. Eng. Mech., 128(4), 380-391. https://doi.org/10.1061/(asce)0733-9399(2002)128:4(380).
  5. Brincker, R., Zhang, L. and Andersen, P. (2000), "Modal identification from ambient responses using frequency domain decomposition", Proceedings of the Imac-Xviii: A Conference on Structural Dynamics, San Antonio, Texas, USA, February.
  6. Brincker, R., Palle, A. and Cantieni, R. (2001a), "Identification and level 1 damage detection of the Z24 highway bridge by frequency domain decomposition", Exp. Tech., 25(6), 51-57. https://doi.org/10.1111/j.1747-1567.2001.tb00047.x.
  7. Brincker, R., Zhang, L. and Andersen, P. (2001b), "Modal identification of output-only systems using frequency domain decomposition", Smart Mater. Struct., 10(3), 441-445. https://doi.org/10.1088/0964-1726/10/3/303.
  8. Chang, S., Yee, J. and Lee, J. (2009), "Necessity of the bridge health monitoring system to mitigate natural and man-made disasters", Struct. Infrastruct. Eng., 5(3), 173-197. https://doi.org/10.1080/15732470601130378.
  9. Chen, Z., Zhou, X., Wang, X., Dong, L. and Qian, Y. (2017), "Deployment of a smart structural health monitoring system for long-span arch bridges: A review and a case study", Sensors, 17, 2151. https://doi.org/10.3390/s17092151.
  10. Cheynet, E. (2019), "Modal parameters identification from ambient vibrations", MATLAB Central File Exchange. www.mathworks.com.
  11. Commander, B., Grimson, J., Varela-Ortiz, W., Stanton, T., Lugo, C. and Hansler, G. (2008), "Field testing and load rating report, bridge S-1090, camp casey, South Korea", Report US Army Crops of Engineers, Engineering Research and Development Center, USA.
  12. Deco, A. and Frangopol, D. (2011), "Risk assessment of highway bridges under multiple hazards", J. Risk Res., 14(9), 1057-1089. https://doi.org/10.1080/13669877.2011.571789.
  13. Hu, W., Cunha, A., Caetano, E., Magalhães, F. and Moutinho, C. (2010), "LabVIEW toolkits for output-only modal identification and long-term dynamic structural monitoring", Struct. Infrastruct. Engineering. 6(5), 557-574. https://doi.org/10.1080/15732470903068672.
  14. Jeong, Y., Kim, W., Lee, I. and Lee, J. (2018), "Bridge inspection practices and bridge management programs in China, Japan, Korea and U.S.", J. Struct. Integr. Maint., 3(2), 126-135. https://doi.org/10.1080/24705314.2018.1461548.
  15. Pablo, R.M. (2009), "Risk assessment of highway bridges: A reliability-based approach", Proceedings of the 2008 IAJCIJME International Conference, Paper 158, ENT 209 Risk, Nashville, USA, November.
  16. Kaloop, M.R. and J.W. Hu. (2016), "Dynamic performance analysis of the towers of a long-span bridge based on GPS monitoring technique", J. Sens., 2016, 7494817. https://doi.org/10.1155/2016/7494817.
  17. Kaloop, M.R., Hu, J.W. and Sayed, M.A. (2016), "Yonjung highspeed railway bridge assessment using output-only structural health monitoring measurements under train speed changing", J. Sens., 2016, 4869638. https://doi.org/10.1155/2016/4869638.
  18. Kaloop, M.R., Hwang, W.S., Elbeltagi, E., Beshr, A. and Hu, J.H. (2019), "Evaluation of Dorim-Goh bridge using ambient trucks through short-period structural health monitoring system", Struct. Eng. Mech., Int, J., 69(3), 347-359. https://doi.org/10.12989/sem.2019.69.3.347.
  19. Kim, B., Lee, J. and Lee, D. (2010), "Extracting modal parameters of high-speed railway bridge using the TDD technique", Mech. Syst. Signal Process., 24(3), 707-720. https://doi.org/10.1016/j.ymssp.2009.11.010.
  20. Kim, J., Sim, S., Cho, S., Yun, C. and Min, J. (2016), "Recent R & D activities on structural health monitoring in Korea", Struct. Monit. Maint., 3(1), 91-114. https://doi.org/10.12989/smm.2016.3.1.091
  21. Koh, H., Lee, H., Kim, S. and Choo, J. (2009), "Monitoring of bridges in Korea", Struct. Health Monit., 2009, 1-23.
  22. Li, H. and Cao, Z. (2016), "Matlab codes of subset simulation for reliability analysis and structural optimization", Struct. Multidiscipl. Optim., 54(2), 391-410. https://doi.org/10.1007/s00158-016-1414-5.
  23. Li, Z., Feng, M., Luo, L., Feng, D. and Xu, X. (2018), "Statistical analysis of modal parameters of a suspension bridge based on Bayesian spectral density approach and SHM data", Mech. Syst. Signal Process., 98, 352-367. https://doi.org/10.1016/j.ymssp.2017.05.005.
  24. Magalhaes, F., Cunha, A. and Caetano, E. (2009), "Online automatic identification of the modal parameters of a long span arch bridge", Mech. Syst. Signal Process., 23(2), 316-329. https://doi.org/10.1016/j.ymssp.2008.05.003.
  25. Mccarthy, L. (2012), "Probabilistic analysis of indeterminate highway bridges considering material nonlinearity probabilistic analysis of indeterminate highway bridges", MS.c. Dissertation, Dublin Institute of Technology, Dublin, Ireland.
  26. Nowak, A. (2012), "Risk analysis and target reliability for bridges", MID-AMERICA, Transportation Center, USA.
  27. Papadopoulos, V., Giovanis, D., Lagaros, N. and Papadrakakis, M. (2012), "Accelerated subset simulation with neural networks for reliability analysis", Comput. Methods Appl. Mech. Eng., 223-224, 70-80. https://doi.org/10.1016/j.cma.2012.02.013.
  28. Peiris, A. and Harik, I. (2016), "Load testing of bridges for load rating", Proceedings of the 7th International Conference on Sustainable Built Environment, ICSBE2016-116, Kandy, Sri Lanka, December.
  29. Proppe, C. (2017), "Markov chain Monte Carlo simulation methods for structural reliability analysis", Procedia Eng., 199, 1122-1127. https://doi.org/10.1016/j.proeng.2017.09.226.
  30. Seo, J., Phares, B., Lu, P., Wipf, T. and Dahlberg, J. (2013), "Bridge rating protocol using ambient trucks through structural health monitoring system", Eng. Struct., 46, 569-580. https://doi.org/10.1016/j.engstruct.2012.08.012.
  31. Sgambi, L., Garavaglia, E., Basso, N. and Bontempi, F. (2014), "Monte Carlo simulation for seismic analysis of a long span suspension bridge", Eng. Struct., 78, 100-111. https://doi.org/10.1016/j.engstruct.2014.08.051.
  32. Song, X., Ma, H. and Wang, K. (2017), "A new developed modal parameter identification method based on empirical mode decomposition and natural excitation technique", Procedia Eng., 199, 1020-1025. https://doi.org/10.1016/j.proeng.2017.09.270.
  33. Wang, Y., Liu, X. and Fang, C. (2011), "Damage detection of bridges by using displacement data of two symmetrical points", J. Perform. Constr. Facil. 26(3), 300-311. https://doi.org/10.1061/(asce)cf.1943-5509.0000240.
  34. Wellalage, N.K., Zhang, T. and Dwight, R. (2014), "Calibrating Markov chain-based deterioration models for predicting future conditions of railway bridge elements", J. Bridge Eng., 20(2), 04014060. https://doi.org/10.1061/(asce)be.1943-5592.0000640.
  35. Xiao, F. (2016), "Structural health monitoring and bridge condition assessment", Ph.D. Dissertation, College of Engineering and Marine, University of Alaska Fairbanks, AK, USA.
  36. Yanweerasak, T., Pansuk, W., Akiyama, M. and Frangopol, D. (2018), "Life-cycle reliability assessment of reinforced concrete bridges under multiple hazards", Struct. Infrastruct. Eng., 14(7), 1011-1024. https://doi.org/10.1080/15732479.2018.1437640.
  37. Yilmaz, T., Banerjee, S. and Johnson, P. (2018), "Uncertainty in risk of highway bridges assessed for integrated seismic and flood hazards", Struct. Infrastruct. Eng., 14(9), 1182-1196. https://doi.org/10.1080/15732479.2017.1402065.
  38. Zhang, L. and Wang, T. and Tamura, Y. (2005), "A frequencyspatial domain decomposition (FSDD) technique for operational modal analysis", Proceedings of the 1st International Operational Modal Analysis Conference, Copenhagen, Denmark, April.
  39. Zolghadri, N. (2017), "Short and long-term structural health monitoring of highway bridges", Ph.D. Dissertation, Utah State University, UT, USA.