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Vibration-based damage monitoring of harbor caisson structure with damaged foundation-structure interface

  • Lee, So-Young (Department of Ocean Eng., Pukyong National University) ;
  • Nguyen, Khac-Duy (Department of Ocean Eng., Pukyong National University) ;
  • Huynh, Thanh-Canh (Department of Ocean Eng., Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Eng., Pukyong National University) ;
  • Yi, Jin-Hak (Coastal Development & Ocean Energy Research Dept., Korea Institute of Ocean Science and Technology (KIOST)) ;
  • Han, Sang-Hun (Coastal Development & Ocean Energy Research Dept., Korea Institute of Ocean Science and Technology (KIOST))
  • Received : 2011.11.11
  • Accepted : 2012.08.17
  • Published : 2012.12.25

Abstract

In this paper, vibration-based methods to monitor damage in foundation-structure interface of harbor caisson structure are presented. The following approaches are implemented to achieve the objective. Firstly, vibration-based damage monitoring methods utilizing a variety of vibration features are selected for harbor caisson structure. Autoregressive (AR) model for time-series analysis and power spectral density (PSD) for frequency-domain analysis are selected to detect the change in the caisson structure. Also, the changes in modal parameters such as natural frequency and mode shape are examined for damage monitoring in the structure. Secondly, the feasibility of damage monitoring methods is experimentally examined on an un-submerged lab-scaled mono-caisson. Finally, numerical analysis of un-submerged mono-caisson, submerged mono-caisson and un-submerged interlocked multiple-caissons are carried out to examine the effect of boundary-dependent parameters on the damage monitoring of harbor caisson structures.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

References

  1. Allen, R.T.L. (1998). Concrete in coastal structures, Thomas Telford, London.
  2. Atkan, A.E., Farhey, D.N., Helmicki, A.J., Brown, D.L., Hunt, V.J., Lee, K.L. and Levi, A. (1997), "Structural identification for condition assessment: experimental arts", J. Struct. Eng. - ASCE, 123(12), 1674-1684. https://doi.org/10.1061/(ASCE)0733-9445(1997)123:12(1674)
  3. Bendat, J.S. and Piersol, A.G. (2003), Engineering applications of correlation and spectral analysis, Wiley-Interscience, New York, NY.
  4. Boroschek, R.L., Baesler, H. and Vega, C. (2011), "Experimental evaluation of the dynamic properties of a wharf structure", Eng. Struct., 33(2), 344-356. https://doi.org/10.1016/j.engstruct.2010.10.014
  5. Brownjohn, J.M.W., Xia, P.Q., Hao, H. and Xia, Y. (2001), "Civil structure condition assessment by FE model updating: methodology and case studies", Finit. Elem. Anal. Des., 37(10), 761-775. https://doi.org/10.1016/S0168-874X(00)00071-8
  6. Catbas, F.N., Gul, M. and Burkett, J. (2008), "Conceptual damage-sensitive features for structural health monitoring: laboratory and field demonstrations", Mech. Syst.Signal Pr., 22(7), 1650-1669. https://doi.org/10.1016/j.ymssp.2008.03.005
  7. Doebling. S.W., Farrar, C.R. and Prime, M.B. (1998), "A summary review of vibration-based damage identification method", Shock Vib., 30(2), 91-105. https://doi.org/10.1177/058310249803000201
  8. Ewins, D.J. (2000), Modal testing: theory, practice and application, Research Studies Press LTD., Hertfordshire, UK.
  9. Isemoto, R., Kim, C.W., Sugiura, K. and Kawatani, M. (2011), "Autoregressive coefficients as an indicator for abnormality detection of bridges", Proceedings of the 2011 world Congress on Advances in Structural Engineering and Mechanics, Seoul, Korea, September.
  10. Jang, S.A., Jo, H., Cho, S., Mechitov, K.A., Rice, J.A., Sim, S.H., Jung, H.J., Yun, C.B., Spencer, Jr., B.F., and Agha, G. (2010), "Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation", Smart Struct. Syst., 6(5-6), 439-459. https://doi.org/10.12989/sss.2010.6.5_6.439
  11. Kim, D.K., Ryu, H.R., Seo, H.R. and Chang, S.K. (2005), "Earthquake response characteristics of port structure according to exciting frequency components of earthquakes (in Korean)", J. Korean Soc. Coast.Ocean Eng., 17(1), 41-46.
  12. Kim, J.T. and Stubbs, N. (1995), "Model-uncertainty impact and damage-detection accuracy in plate girder", J. Struct. Eng.- ASCE, 122(10), 1409-1417.
  13. Kwon, S.J. and Shin, S (2006), "Determination of optimal acceleration locations with verification by frequencydomain SI method", Proceedings of the US-Korea Workshop on Smart Structures Technology for Steel Structures, Seoul, Korea, November.
  14. Lee, S.Y., Lee, S.R., Kim, J.T. and Yi, J.H. (2011), "Vibration-based monitoring of caisson-type breakwater with damaged foundation-structure interface", Proceedings of the 2011 World Congress on Advances in Structural Engineering and Mechanics, Seoul, Korea, September.
  15. Levin, R.J and Lieven, N.A.J. (1998), "Dynamic finite element model updating using simulated annealing and genetic algorithms", Mech. Syst. Signal Pr., 12(1), 91-120. https://doi.org/10.1006/mssp.1996.0136
  16. Otte, D., Van de Ponseele, P. and Leuridan, J. (1990), "Operational shapes estimation as a function of dynamic loads", Proceedings of the 8th International Modal Analysis Conference, Florida, USA, January.
  17. Shi, Z.Y., Law, S.S. and Zhang, L.M. (1998), "Structural damage localization from modal strain energy change, J. Sound Vib., 285(5), 825-844.
  18. Sohn, H. and Farrar, C. (2001), "Damage diagnosis using time series analysis of vibration signals", Smart Mater. Struct., 10(3), 446-451. https://doi.org/10.1088/0964-1726/10/3/304
  19. Wang, Y.Z., Chen, N.N. and Chi L.H. (2006) "Numerical simulation on joint motion process of various modes of caisson breakwater under wave excitation", Commun. Numer. Meth. En., 22(6), 535-545.
  20. Westergaard, H.M. (1933) "Water pressures on dams during earthquakes", T. Am. Soc., 98(2), 418-432.
  21. Wu, X, Ghaboussi, J. and Garret, J.H., Jr. (1992), "Use of neural networks in detection of structural damage", Comput. Struct., 42(4), 649-659. https://doi.org/10.1016/0045-7949(92)90132-J
  22. Yang, Z., Elgamal, A., Abdoun, T. and Lee, C.J. (2001), "A numerical study of lateral spreading behind a caissontype quay wall", Proceedings of the 4th International Conference on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics and Symposium, California, USA, March.
  23. Yi, J.H. and Yun, C.B (2004), "Comparative study on modal identification methods using output-only information", Struct. Eng. Mech., 17(3-4), 445-456. https://doi.org/10.12989/sem.2004.17.3_4.445
  24. Yun G.J., Ogorzalek, K.A., Dyke, S.J. and Song, W. (2009), "A two-stage damage detection approach based on subset of damage parameters and genetic algorithms", Smart Struct. Syst., 5(1), 1-21. https://doi.org/10.12989/sss.2009.5.1.001
  25. Yun, C.B. and Bahng, E.Y. (2000), "Substructural identification using neural networks", Comput. Struct., 77(1), 41-52. https://doi.org/10.1016/S0045-7949(99)00199-6

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