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Periodic seismic performance evaluation of highway bridges using structural health monitoring system

  • Yi, Jin-Hak (Coastal Engineering and Ocean Energy Research Department, Korea Ocean Research and Development Institute) ;
  • Kim, Dookie (Department of Civil and Environmental Engineering, Kunsan National University) ;
  • Feng, Maria Q. (Department of Civil and Environmental Engineering, University of California)
  • Received : 2008.08.18
  • Accepted : 2009.02.23
  • Published : 2009.03.30

Abstract

In this study, the periodic seismic performance evaluation scheme is proposed using a structural health monitoring system in terms of seismic fragility. An instrumented highway bridge is used to demonstrate the evaluation procedure involving (1) measuring ambient vibration of a bridge under general vehicle loadings, (2) identifying modal parameters from the measured acceleration data by applying output-only modal identification method, (3) updating a preliminary finite element model (obtained from structural design drawings) with the identified modal parameters using real-coded genetic algorithm, (4) analyzing nonlinear response time histories of the structure under earthquake excitations, and finally (5) developing fragility curves represented by a log-normal distribution function using maximum likelihood estimation. It is found that the seismic fragility of a highway bridge can be updated using extracted modal parameters and can also be monitored further by utilizing the instrumented structural health monitoring system.

Keywords

Acknowledgement

Supported by : Korea Science and Engineering Foundation (KOSEF)

References

  1. Bani-Hani, K.A., Zibdeh, H.S. and Hamdaouri, K. (2008), 'Health monitoring of a historical monument in Jordan based on ambient vibration test', Smart Struct. Syst., 4(2), 195-208 https://doi.org/10.12989/sss.2008.4.2.195
  2. Bendat, J.S. and Piersol, A.G. (1993), Engineering Applications of Correlation and Spectral Analysis, John Wiley & Sons, New York, USA
  3. Brincker, R., Ventura, C. and Andersen, P. (2001), 'Damping estimation by frequency domain decomposition', Proceedings of the 19th International Modal Analysis Conference, Kissimee, Florida, 2001
  4. Chai, Y.H., Priestley, M.J.N. and Seible, F. (1991), 'Seismic retrofit of circular bridge columns for enhanced flexural performance', ACI Struct. J., 88(5), 572-584
  5. Choi, J.S., Yun C.B. and Kim, J.M. (2001), 'Earthquake response analysis of the Hualien soil-structure interaction system based on updated soil properties using forced vibration test data', Earthq. Eng. Struct. Dyn., 30(1), 1-26 https://doi.org/10.1002/1096-9845(200101)30:1<1::AID-EQE991>3.0.CO;2-Y
  6. Chrysostomou, C., Stassis, A. and Demetriou, T. (2008), 'Application of shape memory alloy prestressing devices on an ancient aqueduct', Smart Struct. Syst., 4(2), 261-278 https://doi.org/10.12989/sss.2008.4.2.261
  7. Chrysostomou, C.Z., Demetriou, T. and Stassis, A. (2008), 'Health-monitoring and system-identification of an ancient aqueduct', Smart Struct. Syst., 4(2), 183-194 https://doi.org/10.12989/sss.2008.4.2.183
  8. Dutta, A. and Mander, J.B. (2002), 'Rapid and detailed seismic fragility analysis of highway bridges', Technical Report at Multidisciplinary Center for Earthquake Engineering, USA
  9. Ei-Borgi, S., Choura, S., Neifar, M., Smaoui, H., Majdoub, M.S. and Cherif, D. (2008), 'Seismic vulnerability assessment of a historical building in Tunisia', Smart Struct. Syst., 4(2), 209-220 https://doi.org/10.12989/sss.2008.4.2.209
  10. Ei-Borgi, S., Neifar, M., Ben Jabeur, M., Cherif, D. and Smaoui, H. (2008), 'Use of copper shape memory alloys in retrofitting historical monuments', Smart Struct. Syst., 4(2), 247-260 https://doi.org/10.12989/sss.2008.4.2.247
  11. El-Attar, A., Saleh, A., El-Habbal, I., Zaghw A.H. and Osman, A. (2008), 'The use of SMA wire dampers to enhance the seismic performance of two historical Islamic minarets', Smart Struct. Syst., 4(2), 221-232 https://doi.org/10.12989/sss.2008.4.2.221
  12. Feng, M.Q., Kim, D.K., Yi, J.H. and Chen, Y. (2004), 'Baseline models for bridge performance monitoring', J. Eng. Mech., ASCE, 130(5), 562-569 https://doi.org/10.1061/(ASCE)0733-9399(2004)130:5(562)
  13. Goldberg, D.E. (1989), 'Genetic algorithms in search, optimization, and machine learning', Addison-Wesley: Reading, MA, USA
  14. Holland, J.H. (1975), Adaptation in Natural and Artificial Systems, University of Michigan, USA
  15. Huang, J., Liang, Z. and Lee, G.C. (1996), 'Structural damage detection using energy transfer ratios (ETR) technique', Proceedings of the 14th International Modal Analysis Conference, Dearborn, MI, February 12-15, 1996
  16. Jaishi, B., Ren, W.-X., Zong, Z.-H. and Maskey, P.N. (2003), 'Dynamic and seismic performance of old multitiered temples in Nepal', Eng. Struct., 25(14), 1827-1839 https://doi.org/10.1016/j.engstruct.2003.08.006
  17. Juang, J.N. (1994), Applied System Identification, Prentice Hall, Englewood Cliffs, New Jersey, USA
  18. Kim, J.T., Park, J.H., Yoon, H.S. and Yi, J.H. (2007), 'Vibration-based damage detection in beams using genetic algorithm', Smart Struct. Syst., 3(3), 263-280 https://doi.org/10.12989/sss.2007.3.3.263
  19. Kim, G.H. and Yang, Y.S. (1995), 'A real coded genetic algorithm for optimum design', J. Comput. Struct. Eng. in Korea, 8(2)
  20. Kushiyama, S. (2002), Calculation moment-rotation relationship of reinforced concrete member with/without steel jacket, Unpublished Report at University of Southern California, CA, USA
  21. Liang, Z. and Lee, G.C. (1991), Damping of Structures : Part -Theory of Complex Damping, NCEER Report 91- 0004, 1991
  22. Maity, D. and Tripathy, R.R. (2005), 'Damage assessment of structures from changes in natural frequencies using genetic algorithm', Struct. Eng. Mech., 19(1), 21-42 https://doi.org/10.12989/sem.2005.19.1.021
  23. Overschee, V.P. and De Moor, B. (1996), Subspace Identification for Linear Systems, Kluwer Academic Publisher
  24. Peeters, B. and De Roeck, G. (1999), 'Reference-based stochastic subspace identification for output-only modal analysis', Mech. Syst. Signal Pr., 13(6), 855-878 https://doi.org/10.1006/mssp.1999.1249
  25. Priestley, M.J.N., Seible, F. and Calvi, G.M. (1996), Seismic Design and Retrofit of Bridges. John Wiley & Sons, Inc
  26. Ren, W.X. and Zong, Z.H. (2004), 'Output-only modal parameter identification of civil engineering structures', Struct. Eng. Mech., 17(3-4), 429-444 https://doi.org/10.12989/sem.2004.17.3_4.429
  27. Ren, W.X., Zatar, W. and Harik, I.E. (2004), 'Ambient vibration-based seismic evaluation of a continuous girder bridge', Eng. Struct., 26(5) 631-640 https://doi.org/10.1016/j.engstruct.2003.12.010
  28. Rytter, A. (1993), Vibration Based Inspection of Civil Engineering Structures, Ph.D. Dissertation, Dept. of Building Technology and Structural Eng., Aalborg University, Denmark
  29. SAC Joint Venture, Development of Ground Motion Time Histories for Phase 2 of the FEMA/SAC Steel Projects, Report No. SAC/BD-97/04, October 15, 1997
  30. SAP2000 v.7.44 User Manual. 2002. Computer and Structure, CA, USA
  31. Shama, A.A., Mander, J.B., Chen, S.S. and Aref, A.J. (2001), 'Ambient vibration and seismic evaluation of a cantilever truss bridge', Eng. Struct., 23, 1281-1292 https://doi.org/10.1016/S0141-0296(01)00027-X
  32. Shinozuka, M., Feng. M.Q., Kim, H.-K., Uzawa, T. and Ueda, T. (2002), Statistical analysis of fragility curves, Technical Report at Multidisciplinary Center for Earthquake Engineering, USA
  33. Yi, J.H. and Yun, C.B. (2004), 'Comparative study on modal identification methods using output-only information', Struct. Eng. Mech., 17(3-4), 445-466 https://doi.org/10.12989/sem.2004.17.3_4.445

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