Structural Engineering and Mechanics

  • 제39권2호
  • /
  • Pages.187-206
  • /
  • 2011
  • /
  • 1225-4568(pISSN)
  • /
  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Damage detection in truss bridges using vibration based multi-criteria approach

  • Shih, H.W. (School of Urban Development, Faculty of Built Environment and Engineering, Queensland University of Technology) ;
  • Thambiratnam, D.P. (School of Urban Development, Faculty of Built Environment and Engineering, Queensland University of Technology) ;
  • Chan, T.H.T. (School of Urban Development, Faculty of Built Environment and Engineering, Queensland University of Technology)
  • 투고 : 2009.12.05
  • 심사 : 2011.03.09
  • 발행 : 2011.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper uses dynamic computer simulation techniques to develop and apply a multi-criteria procedure using non-destructive vibration-based parameters for damage assessment in truss bridges. In addition to changes in natural frequencies, this procedure incorporates two parameters, namely the modal flexibility and the modal strain energy. Using the numerically simulated modal data obtained through finite element analysis of the healthy and damaged bridge models, algorithms based on modal flexibility and modal strain energy changes before and after damage are obtained and used as the indices for the assessment of structural health state. The application of the two proposed parameters to truss-type structures is limited in the literature. The proposed multi-criteria based damage assessment procedure is therefore developed and applied to truss bridges. The application of the approach is demonstrated through numerical simulation studies of a single-span simply supported truss bridge with eight damage scenarios corresponding to different types of deck and truss damage. Results show that the proposed multi-criteria method is effective in damage assessment in this type of bridge superstructure.

키워드

참고문헌

  1. Adewuyi, A.P. and Wu, Z.S. (2010), "Modal macro-strain flexibility methods for damage localization in flexural structures using long-gage FBG sensors Journal of structural control and health monitoring", Struct. Control Hlth. Monit., 18(3), 341-360.
  2. Araújo dos Santos, J.V., Maia, N.M.M., Mota Soares, C.M. and Mota Soares, C.A. (2008), "Structural damage identification: a survey", (Eds. Topping, B.H.V. and Papadrakakis, M.), Trends in Computational Structures Technology, Saxe-Coburg Publications, Stirlingshire, UK.
  3. Baghiee, N., Esfahani, M.R. and Moslem, K. (2009), "Studies on damage and FRP strengthening of reinforced concrete beams by vibration monitoring", Eng. Struct., 31(4), 875-893. https://doi.org/10.1016/j.engstruct.2008.12.009
  4. Cornwell, P., Doebling, S.W. and Farrar, C.R. (1999), "Application of the strain energy damage detection method to plate-like structures", J. Sound Vib., 224(2), 359-374. https://doi.org/10.1006/jsvi.1999.2163
  5. Curadelli, R.O., Riera, J.D., Ambrosini, D. and Amani, M.G. (2008), "Damage detection by means of structural damping identification", Eng. Struct., 30(12), 3497-3504. https://doi.org/10.1016/j.engstruct.2008.05.024
  6. Doebling, S.W., Hemez, F.M., Peterson, L.D. and Farhat, C. (1997), "Improved damage location accuracy using strain energy-based mode selection criteria", AIAA J., 35(4), 693-699. https://doi.org/10.2514/2.159
  7. Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), "Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review", Report no. LA-13070-MS, Los Alamos National Laboratory, Los Alamos, USA.
  8. El-Ouafi Bahlous, S., Smaoui, H. and El-Borgi, S. (2009), "Experimental validation of an ambient vibrationbased multiple damage identification method using statistical modal filtering", J. Sound Vib., 325(1-2), 49-68. https://doi.org/10.1016/j.jsv.2009.03.001
  9. Fang, S.E. and Perera, R. (2009), "Power mode shapes for early damage detection in linear structures", J. Sound Vib., 324(1-2), 40-56. https://doi.org/10.1016/j.jsv.2009.02.002
  10. Farrar, C.R. and Cone, K.M. (1994), "Vibration testing of the I-40 Bridge before and after the introduction of damage", Proceedings of 13th International Modal Analysis Conference, Nashville, TN, February.
  11. Fernandes, K.M., Stutz, L.T., Tenenbaum, R.A. and Silva Neto, A.J. (2008), "Vibration and wave propagation approaches applied to assess damage influence on the behavior of Euler-Bernoulli beams: Part I direct problem", (Eds. Topping, B.H.V. and Papadrakakis, M.), Proceedings of the Ninth International Conference on Computational Structures Technology, Civil-Comp Press, Stirlingshire, UK.
  12. Ge, M. and Lui, M. (2005), "Structural damage identification using system dynamic properties", Comput. Struct., 83(27), 2185-2196. https://doi.org/10.1016/j.compstruc.2005.05.002
  13. Goldfeld, Y. (2009), "A direct identification procedure for assessment of stiffness distribution", Eng. Struct., 31(5), 1068-1076. https://doi.org/10.1016/j.engstruct.2008.12.018
  14. Guan, H. and Karbhari, V.M. (2008), "Improved damage detection method based on Element Modal Strain Damage Index using sparse measurement", J. Sound Vib., 309(3-5), 465-494. https://doi.org/10.1016/j.jsv.2007.07.060
  15. Housner, G.W., Bergman, L.A., Caughey, T.K., Chassiakos, A.G., Claus, R.O., Masri, S.F., Skelton, R.E., Soong, T.T., Spencer, B.F. and Yao, J.T.P. (1997), "Structural control: past, present, and future", J. Eng. Mech., 123(9), 897-971 https://doi.org/10.1061/(ASCE)0733-9399(1997)123:9(897)
  16. Huth, O., Maeck, J., Kilic, N. and Motavalli, M. (2005), "Damage identification using modal data: Experiences on a prestressed concrete bridge", J. Struct. Eng.-ASCE, 131(12), 1898-1910. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:12(1898)
  17. Lee, J.J. and Yun, C.B. (2006), "Damage diagnosis of steel girder bridges using ambient vibration data", Eng. Struct., 28(6), 912-925. https://doi.org/10.1016/j.engstruct.2005.10.017
  18. Lee, L.S., Karbhari, V.M. and Sikorsky, C. (2004), "Investigation of integrity and effectiveness of RC bridge deck rehabilitation with CFRP composites", Report no. SSRP-2004/08, Department of Structural Engineering, University of California, San Diego.
  19. Paz, M. and Leigh, W. (2004), "Structural dynamics: theory and computation", Springer Science + Business Media Inc., United States of America.
  20. Peng, Z.K., Lang, Z.Q. and Chu, F.L. (2008), "Numerical analysis of cracked beams using nonlinear output frequency response functions", Comput. Struct., 86(17-18), 1809-1818 https://doi.org/10.1016/j.compstruc.2008.01.011
  21. Petryna, Y.S., Ahrens, A. and Stangenberg, F. (2006), "Damage simulation and health assessment of a road bridge", (Eds. Topping, B.H.V., Montero, G. and Montenegro, R.), Proceedings of the Eighth International Conference on Computational Structures Technology, Civil-Comp Press, Stirlingshire, UK.
  22. Perera, R., Ruiz, A. and Manzano, C. (2007), "An evolutionary multiobjective framework for structural damage localization and quantification", Eng. Struct., 29(10), 2540-2550. https://doi.org/10.1016/j.engstruct.2007.01.003
  23. Petryna, Y.S., Krätzig, W.B. and Stangenberg, F. (2002), "Structural damage: simulation and assessment", (Eds. Topping, B.H.V. and Bittnar, Z.), Computational Structures Technology, Saxe-Coburg Publications, Stirlingshire, UK.
  24. Ren, W.X. and Sun, Z.S. (2008), "Structural damage identification by using wavelet entropy", Eng. Struct., 30(10), 2840-2849. https://doi.org/10.1016/j.engstruct.2008.03.013
  25. Rytter, A. (1993), "Vibration based inspection of civil engineering structural", Doctoral Dissertation, Department of Building Technology and Structural Engineering, University of Aalborg, Aalborg, Denmark.
  26. Sazonov, E.S., Klinkhachorn, P., Halabe, U.B. and GangaRao, H.V.S. (2003), "Non-baseline detection of small damages from changes in strain energy mode shapes", Non-Des. Test. Eval., 18(3-4), 91-107.
  27. Shi, Z.Y., Law, S.S. and Zhang, L.M. (2000), "Structural damage detection from modal strain energy change", J. Eng. Mech., 126(12), 1216-1223. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:12(1216)
  28. Shih, H.W., Thambiratnam, D.P. and Chan, T.H.T. (2009), "Vibration based structural damage detection in flexural members using multi-criteria approach", J. Sound Vib., 323(3-5), 645-661. https://doi.org/10.1016/j.jsv.2009.01.019
  29. Stubbs, N., Kim, J.T. and Farrar, C.R. (1995), "Field verification of a non-destructive damage localization and severity algorithm", Proceedings of 13th International Modal Analysis Conference, Nashville, USA.
  30. Wang, S., Zhang, J., Liu, J. and Liu, F. (2010), "Comparative study of modal strain energy based damage localization methods for three-dimensional structure", Proceedings of the Twentieth International Offshore and Polar Engineering Conferences, Beijing, China, June.
  31. Xia, Y., Hao, H. and Deeks, A.J. (2007), "Dynamic assessment of shear connectors in slab-girder bridges", Eng. Struct., 29(7), 1475-1486. https://doi.org/10.1016/j.engstruct.2006.09.014
  32. Yan, Y.J., Cheng, L., Wu, Z.Y. and Yam, L.H. (2007), "Development in vibration-based structural damage detection technique", Mech. Syst. Signal Pr., 21, 2198-2211. https://doi.org/10.1016/j.ymssp.2006.10.002
  33. Zacharias, K., Douka, E., Hadjileontiadis, L.J. and Trochidis, A. (2008), "Non-linear vibration technique for crack detection in beam structures using frequency mixing", (Eds. Topping, B.H.V. and Papadrakakis, M.), Proceedings of the Ninth International Conference on Computational Structures Technology, Civil-Comp Press, Stirlingshire, UK.
  34. Zapico, J.L. and Gonzalez, M.P. (2006), "Vibration numerical simulation of a method for seismic damage identification in buildings", Eng. Struct., 28(2), 255-263. https://doi.org/10.1016/j.engstruct.2005.08.005
  35. Zhao, J. and DeWolf, J.T. (2002), "Dynamic monitoring of steel girder highway bridge", J. Bridge Eng., 7(6), 350-356. https://doi.org/10.1061/(ASCE)1084-0702(2002)7:6(350)
  36. Zhao, J. and Dewolf, J.T. (2006), "Sensitivity study for vibrational parameters used in damage detection", J. Struct. Eng., 25(4), 410-416.

피인용 문헌

  1. A simple method to detect cracks in beam-like structures vol.9, pp.4, 2012, https://doi.org/10.12989/sss.2012.9.4.335
  2. Modal parameters identification of heavy-haul railway RC bridges - experience acquired vol.2, pp.1, 2015, https://doi.org/10.12989/smm.2015.2.1.001
  3. Damage identification of 2D and 3D trusses by using complete and incomplete noisy measurements vol.52, pp.1, 2014, https://doi.org/10.12989/sem.2014.52.1.149
  4. Damage detection in slab-on-girder bridges using vibration characteristics vol.20, pp.10, 2013, https://doi.org/10.1002/stc.1535
  5. Vibration characteristics and damage detection in a suspension bridge vol.375, 2016, https://doi.org/10.1016/j.jsv.2016.04.025
  6. Dynamic analysis of coupled train - ladder track - elevated bridge system vol.47, pp.5, 2013, https://doi.org/10.12989/sem.2013.47.5.661
  7. Method development of damage detection in asymmetric buildings vol.413, 2018, https://doi.org/10.1016/j.jsv.2017.10.015
  8. Damage identification in a complex truss structure using modal characteristics correlation method and sensitivity-weighted search space pp.1741-3168, 2018, https://doi.org/10.1177/1475921718809471
  9. Damage detection in asymmetric buildings using vibration-based techniques vol.25, pp.5, 2018, https://doi.org/10.1002/stc.2148
  10. Damage assessment in plate-like structures using a two-stage method based on modal strain energy change and Jaya algorithm pp.1741-5985, 2019, https://doi.org/10.1080/17415977.2018.1454445
  11. Vibration-based dual-criteria approach for damage detection in arch bridges pp.1741-3168, 2019, https://doi.org/10.1177/1475921718810011
  12. Modal flexibility based damage detection for suspension bridge hangers: A numerical and experimental investigation vol.23, pp.1, 2011, https://doi.org/10.12989/sss.2019.23.1.015
  13. Vibration-based structural health monitoring using symbiotic organism search based on an improved objective function vol.9, pp.5, 2019, https://doi.org/10.1007/s13349-019-00364-5
  14. Locating and Quantifying Damage in Deck Type Arch Bridges Using Frequency Response Functions and Artificial Neural Networks vol.20, pp.10, 2020, https://doi.org/10.1142/s0219455420420109
  15. Damage detection in steel-concrete composite bridge using vibration characteristics and artificial neural network vol.16, pp.9, 2011, https://doi.org/10.1080/15732479.2019.1696378
  16. Bridge flexural rigidity calculation using measured drive-by deflections vol.10, pp.5, 2020, https://doi.org/10.1007/s13349-020-00419-y
  17. Damage Detection in Different Types of 3D Asymmetric Buildings Using Vibration Characteristics vol.2021, pp.None, 2011, https://doi.org/10.1155/2021/6004283