Structural Engineering and Mechanics

  • 제54권2호
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  • Pages.257-289
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  • 2015
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Damage assessment of shear connectors with vibration measurements and power spectral density transmissibility

  • Li, Jun (Department of Civil Engineering, School of Civil and Mechanical Engineering, Curtin University) ;
  • Hao, Hong (Department of Civil Engineering, School of Civil and Mechanical Engineering, Curtin University) ;
  • Xia, Yong (Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University) ;
  • Zhu, Hong-Ping (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology)
  • 투고 : 2014.10.27
  • 심사 : 2015.03.12
  • 발행 : 2015.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

Shear connectors are generally used to link the slab and girders together in slab-on-girder bridge structures. Damage of shear connectors in such structures will result in shear slippage between the slab and girders, which significantly reduces the load-carrying capacity of the bridge. Because shear connectors are buried inside the structure, routine visual inspection is not able to detect conditions of shear connectors. A few methods have been proposed in the literature to detect the condition of shear connectors based on vibration measurements. This paper proposes a different dynamic condition assessment approach to identify the damage of shear connectors in slab-on-girder bridge structures based on power spectral density transmissibility (PSDT). PSDT formulates the relationship between the auto-spectral densities of two responses in the frequency domain. It can be used to identify shear connector conditions with or without reference data of the undamaged structure (or the baseline). Measured impact force and acceleration responses from hammer tests are analyzed to obtain the frequency response functions at sensor locations by experimental modal analysis. PSDT from the slab response to the girder response is derived with the obtained frequency response functions. PSDT vectors in the undamaged and damaged states can be compared to identify the damage of shear connectors. When the baseline is not available, as in most practical cases, PSDT vectors from the measured response at a reference sensor to those of the slab and girder in the damaged state can be used to detect the damage of shear connectors. Numerical and experimental studies on a concrete slab supported by two steel girders are conducted to investigate the accuracy and efficiency of the proposed approach. Identification results demonstrate that damages of shear connectors are identified accurately and efficiently with and without the baseline. The proposed method is also used to evaluate the conditions of shear connectors in a real composite bridge with in-field testing data.

키워드

참고문헌

  1. Bendat, J.S. and Piersol, A.G. (1980), Engineering Applications of Correlation and Spectral Analysis, John Wiley & Sons, USA.
  2. Berczynski, S. and Wroblewski, T. (2010), "Experimental verification of natural vibration models of steel-concrete composite beams", J. Vib Control, 16(14), 2057-2081. https://doi.org/10.1177/1077546309350552
  3. Chiewanichakorn, M., Aref, A.J., Chen, S.S. and Ahn, S. (2004), "Effective flange width definition for steel-concrete composite bridge girder", J. Struct. Eng., ASCE, 130(12), 2016-2031. https://doi.org/10.1061/(ASCE)0733-9445(2004)130:12(2016)
  4. Dilena, M. and Morassi, A. (2004), "Experimental modal analysis of steel concrete composite beams with partially damaged connection", J. Vib. Control, 10(6), 897-913. https://doi.org/10.1177/1077546304041370
  5. Dilena, M. and Morassi, A. (2009), "Vibrations of steel-concrete composite beams with partially degraded connection and applications to damage detection", J. Sound Vib., 320(1-2), 101-124. https://doi.org/10.1016/j.jsv.2008.07.022
  6. Ding, L., Hao, H., Xia, Y. and Deeks, A.J. (2012), "Evaluation of bridge load carrying capacity using updated finite element model and nonlinear analysis", Adv. Struct. Eng., 15(10),1739-1750. https://doi.org/10.1260/1369-4332.15.10.1739
  7. Doebling, S.W., Farrar, C.R. and Cornwell, P.J. (1997), "DIAMOND: a graphical interface toolbox for comparative modal analysis and damage identification", Proceedings of the Sixth International Conference on Recent Advances in Structural Dynamics, Southampton.
  8. Ewins, D.J. (2000), Modal Testing: Theory, Practice and Application, Research Studies Press Ltd,. Hertfordshire, U.K.
  9. Gorl, E. and Link M. (2003), "Damage identification using changes of eigenfrequencies and mode shapes", Mech. Syst. Signal Pr., 17(1), 103-110. https://doi.org/10.1006/mssp.2002.1545
  10. Johnson, T.J. and Adams, D. E. (2002), "Transmissibility as a differential indicator of structural damage", J. Vib. Acoust., ASME, 124(4), 634-641. https://doi.org/10.1115/1.1500744
  11. Liberatore, S. and Carman, G.P. (2004), "Power spectral density analysis for damage identification and location", J. Sound Vib., 274(3-5), 761-776. https://doi.org/10.1016/S0022-460X(03)00785-5
  12. Li, J., Hao, H. and Lo, J.V. (2015), "Structural damage identification with power spectral density transmissibility: Numerical and experimental studies", Smart. Struct. Syst., 15(1), 15-40. https://doi.org/10.12989/sss.2015.15.1.015
  13. Li, J., Law, S.S. and Ding, Y. (2012), "Substructure damage identification based on response reconstruction in frequency domain and model updating", Eng. Struct., 41, 270-284. https://doi.org/10.1016/j.engstruct.2012.03.035
  14. Li, J. and Law, S.S. (2011), "Substructural response reconstruction in wavelet domain", J. Appl. Mech., ASME, 78(4), 041010. https://doi.org/10.1115/1.4003738
  15. Li, J. and Law, S.S. (2012), "Substructural damage detection with incomplete information of the structure", J. Appl. Mech., ASME, 79(4), 041003. https://doi.org/10.1115/1.4005552
  16. Liu, K. and de Roeck, G. (2008), "Damage detection of shear connectors in composite bridges", Struct. Hlth. Monit., 8(5), 345-356.
  17. Lieven, N.A.J. and Ewin, D.J. (1988), "Spatial correlation of mode shapes, the co-ordinate Modal Assurance Criterion (COMAC)", Proceedings of the 6th International Modal Analysis Conference, 1, 690-695.
  18. Maia, N.M.M, Silva, J.M.M. and Almas, E.A.M. (2003), "Damage detection in structures: from mode shape to frequency response function methods", Mech. Syst. Signal Pr., 17(3), 489-498. https://doi.org/10.1006/mssp.2002.1506
  19. Pandey, A.K., Biswas, M. and Samman, M.M. (1991), "Damage detection from changes in curvature mode shapes", J. Sound Vib., 145(2), 321-332. https://doi.org/10.1016/0022-460X(91)90595-B
  20. Pandey, A.K. and Biswas, M. (1994), "Damage detection in structures using changes in flexibility", J. Sound Vib., 169(1), 3-17. https://doi.org/10.1006/jsvi.1994.1002
  21. Ren, W.X., Sun, Z.S., Xia, Y., Hao, H. and Deeks, A.J. (2008), "Damage identification of shear connectors with wavelet packet energy: laboratory test study", J. Struct. Eng., ASCE, 134(5), 832-841. https://doi.org/10.1061/(ASCE)0733-9445(2008)134:5(832)
  22. Ribeiro, A.M.R., Silva, J.M.M. and Maia, N.M.M. (2000), "On the generalisation of the transmissibility concept", Mech. Syst. Signal Pr., 14(1), 29-35. https://doi.org/10.1006/mssp.1999.1268
  23. Ross, S.M. (2004), Introduction to Probability and Statistics for Engineers and Scientists, Third edition, Elsevier Academic Press, USA.
  24. 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
  25. Worden, K. and Manson, G. (2003), "Experimental validation of a structural health monitoring methodology: part I. novelty detection on a laboratory structure", J. Sound Vib., 259(2), 323-343. https://doi.org/10.1006/jsvi.2002.5168
  26. Wroblewski, T., Jarosinska, M. and Berczynski, S. (2013), "Damage location in steel-concrete composite beams using energy transfer ratio (ETR)", J. Theor. Appl. Mech., 51(1), 91-103.
  27. Yan, G., Duan, Z. and Ou, J. (2010), "Damage detection for beam structures using an angle-between-string-and-horizon flexibility matrix", Struct. Eng. Mech., 36(5), 643-667. https://doi.org/10.12989/sem.2010.36.5.643
  28. Yan, W.J. and Ren, W.X. (2011), "Operational modal parameter identification from power spectrum density transmissibility", Comput. Aid. Civil Inf., 27(3), 1-16.
  29. Yan, W.J., Ren, W.X. and Huang, T.L. (2012), "Statistic structural damage detection based on the closed-form of element modal strain energy sensitivity", Mech. Syst. Signal Pr., 28, 183-194. https://doi.org/10.1016/j.ymssp.2011.04.011
  30. Yi, T.H., Li, H.N. and Sun, H.M. (2013), "Multi-stage structural damage diagnosis method based on "energy-damage" theory", Smart Struct. Syst., 12(3-4), 345-361. https://doi.org/10.12989/sss.2013.12.3_4.345
  31. Yi, T.H., Li, H.N. and Gu, M. (2013). "Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer", Smart Struct. Syst., 11(4), 331-348. https://doi.org/10.12989/sss.2013.11.4.331
  32. Xia, Y., Hao, H. and Deeks, A.J. (2007), "Dynamic assessment of shear connectors in slab-girder bridges", Eng. Struct., 29(7), 1457-1486. https://doi.org/10.1016/j.engstruct.2006.09.004
  33. Xia, Y., Hao, H., Deeks, A.J. and Zhu, X.Q. (2008), "Condition assessment of shear connectors in slab-girder bridges via vibration measurements", J. Bridge Eng., ASCE, 13(1), 43-54. https://doi.org/10.1061/(ASCE)1084-0702(2008)13:1(43)
  34. Xia, Y., Hao, H., Zanardo, G. and Nguyen, M. (2005), "Vibration-based damage detection of shear connectors in Nickol River bridge and Balla Balla River bridge, Part 1: preliminary study", Technical Report, ST-05-01, School of Civil and Resource Engineering, University of Western Australia.
  35. Xu, Z.D. and Wu, Z.S. (2007), "Energy damage detection strategy based on acceleration responses for long-span bridge structures", Eng. Struct., 29(4), 609-617. https://doi.org/10.1016/j.engstruct.2006.06.004
  36. Zhu, X.Q., Hao, H., Uy, B., Xia, Y. and Mirza, O. (2012), "Dynamic assessment of shear connection conditions in slab-girder bridges by Kullback-Leibler distance", Adv. Struct. Eng., 15(5), 771-780. https://doi.org/10.1260/1369-4332.15.5.771

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