Structural Monitoring and Maintenance

  • 제3권1호
  • /
  • Pages.1-32
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  • 2016
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  • 2288-6605(pISSN)
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  • 2288-6613(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Structural health monitoring of innovative civil engineering structures in Mainland China

  • Li, Hong-Nan (State Key Lab of Coastal and Offshore Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Li, Dong-Sheng (State Key Lab of Coastal and Offshore Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Ren, Liang (State Key Lab of Coastal and Offshore Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Yi, Ting-Hua (State Key Lab of Coastal and Offshore Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • Jia, Zi-Guang (State Key Lab of Coastal and Offshore Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology) ;
  • LI, Kun-Peng (State Key Lab of Coastal and Offshore Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology)
  • 투고 : 2015.12.20
  • 심사 : 2016.03.01
  • 발행 : 2016.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper describes the backgrounds, motivations and recent history of structural health monitoring (SHM) developments to various types of engineering structures. Extensive applications of SHM technologies in bridges, high-rise buildings, sport avenues, offshore platforms, underground structures, dams, etc. in mainland China are summarily categorized and listed in tables. Sensors used in implementations, their deployment, damage identification strategies if applicable, preliminary monitoring achievements and experience are presented in the lists. Finally, existing problems and promising research efforts in civil SHM are discussed, highlighting challenges and future trends.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China

참고문헌

  1. Aktan, A.E. (2009), "Characterizing highway bridges", Proceedings of the SPIE : Smart Structures and Materials, CA, USA, March.
  2. Alamdari, M.M., Samali, B. and Li, J. (2015), "Damage localization based on symbolic time series analysis", Struct. Control Health Monit., 22(2), 374-393. https://doi.org/10.1002/stc.1683
  3. Alampalli, S. (2000), "Effects of testing, analysis, damage and environment on modal parameters", Mech. Syst. Signal. Pr., 14(1), 63-74. https://doi.org/10.1006/mssp.1999.1271
  4. Alvandia, A. and Cremona, C. (2006), "Assessment of vibration-based damage identification techniques", J. Sound. Vib., 292(1-2), 179-202. https://doi.org/10.1016/j.jsv.2005.07.036
  5. Bhalla, S., Yang, Y.W., Zhao, J. and Soh, C.K. (2005), "Structural health monitoring of underground facilities-Technological issues and challenges", Tunn. Undergr. Sp. Tech., 20(5), 487-500. https://doi.org/10.1016/j.tust.2005.03.003
  6. Bolton, R., Stubbs, N., Park, S., Sikorsky, C. and Choi, S. (2001), "Documentation of changes in modal properties of a concrete box-girder bridge due to environmental and internal conditions", Comput-Aided. Civ. Inf., 16(1), 42-57. https://doi.org/10.1111/0885-9507.00212
  7. Brownjohn, J.M. (2007), "Structural health monitoring of civil infrastructure", Philos. T. R. Soc. A., 365(1851), 589-622. https://doi.org/10.1098/rsta.2006.1925
  8. Cross, E., Manson, G., Worden, K. and Pierce, S. (2012), "Features for damage detection with insensitivity to environmental and operational variations, proceedings of the royal society a: mathematical", Phys. Eng. Sci., 468(2148), 4098-4122. https://doi.org/10.1098/rspa.2012.0031
  9. Deraemaeker, A., Reynders, E., De Roeck, G. and Kullaa, J. (2008), "Vibration based structural health monitoring using output-only measurements under changing environment", Mech. Syst. Signal. Pr., 22(1), 34-56. https://doi.org/10.1016/j.ymssp.2007.07.004
  10. Doebling, S.W., Farrar, C.R., Prime, M.B., et al. (1996), Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, Los Alamos National Laboratory Report, LA,NM.
  11. Erturk, A. and Inman, D.J. (2011), Piezoelectric Energy Harvesting, Wiley.
  12. Fan, W. and Qiao, P.Z. (2011), "Vibration-based Damage Identification Methods: A Review and Comparative Study ", Struct. Health. Monit., 10(1), 83-111. https://doi.org/10.1177/1475921710365419
  13. Farrar, C.R. and Worden, K. (2013), Structural Health Monitoring-A Machine Learning Perspective, John Wiley & Sons Ltd, Chichester, UK.
  14. Figueiredo, E., Todd, M., Farrar, C. and Flynn, E. (2010), "Autoregressive modeling with state-space embedding vectors for damage detection under operational variability", Int. J. Eng. Sci., 48(10), 822-834. https://doi.org/10.1016/j.ijengsci.2010.05.005
  15. Hu, J., Li, H., Yang H.Z., Zhang Q.L.(2014), "Integrated design and application structural health monitoring software system of Shanghai Tower", J. Tongji Univ. (Natural Science), 42(3), 460-467.
  16. Huang, F.L., He, X.H., Chen, Z.Q. and Zeng, C.H. (2004), "Structural safety monitoring for Nanjing Yangtze River Bridge", J. Cent. South. Univ. Technol., 11(3), 332-335. https://doi.org/10.1007/s11771-004-0068-4
  17. Jia, Z., Ren, L., Li, D. and Li, H. (2011), "Cable stretching construction monitoring based on FBG sensor", Proceedings-SPIE the International Society for Optical Engineering. San Diego, CA.
  18. Kullaa, J. (2004), "Structural health monitoring under variable environmental or operational conditions", Proceedings of the 2nd European Workshop on Structural Health Monitoring, Munich, Germany.
  19. Li, A.Q., Ding, Y.L., Deng, Y., Yao B., Yang, J. and Zhou, J.H. (2010), "Technology and application of structural health condition assessment for Sutong Bridge (2): damage alarming of main girder", J. Dis. Prev. Mitig. Engr., 30(3), 330-335.
  20. Li, D.S., Li, H.N. and Fritzen, C.P. (2012), "Load dependent sensor placement method: theory and experimental validation", Mech. Syst. Signal. Pr., 31, 217-227. https://doi.org/10.1016/j.ymssp.2012.04.014
  21. Li, D.S., Li, H.N., Ren, L. and Song, G. (2006), "Strain transferring analysis of fiber Bragg grating sensors", Opt. Eng., 45(2), 4402.
  22. Li, H. N., Li, D. S. and Song, G. B. (2004), "Recent applications of fiber optic sensors to health monitoring in civil engineering", Eng. Struct., 26(11), 1647-1657. https://doi.org/10.1016/j.engstruct.2004.05.018
  23. Li, H.N., Yi, T.H., Ren, L., Li, D.S. and Huo L.S.(2014), "Reviews on innovations and applications in structural health monitoring for infrastructures", Struct. Monit. Maint., 1(1),1-45. https://doi.org/10.12989/SMM.2014.1.1.001
  24. Li, H.N., Yi, T.H., Yi, X.D. and Wang, G.X. (2007), "Measurement and analysis of wind-induced response of tall building based on GPS technology", Adv. Struct. Eng., 10(1), 83-93. https://doi.org/10.1260/136943307780150869
  25. Li, N. (2000), "Brief talk of the action of dam security monitoring system on construction and operation of Three Gorges Dam", Exp. Tech. Manag., 17(4), 80-84.
  26. Li, R., Mita, A. and Zhou, J. (2013), "Symbolization-based differential evolution strategy for identification of structural parameters", Struct. Control Health Monit., 20(10), 1255-1270. https://doi.org/10.1002/stc.1530
  27. Liu, C. and DeWolf, J. (2007), "Effect of temperature on modal variability of a curved concrete bridge under ambient loads", J. Struct. Eng.-ASCE., 133(12), 1742-1751. https://doi.org/10.1061/(ASCE)0733-9445(2007)133:12(1742)
  28. Liu, S.C., Zhang, D.L., Huang, J. and Zhang, C.P. (2011), "Research and design on structural health monitoring System for Large-scale Shield Tunnel", Chinese Journal of Underground Space and Engineering, 7(4), 741-748.
  29. Lu, W. (2010), The structural health monitoring system of large span space structure based on field bus, Ph.D. Dissertation, Harbin Institute of Technology, Harbin.
  30. Lynch, J.P. (2007), "An overview of wireless structural health Monitoring for Civil Structures", Philos. T. Roy. Soc. A., 365(1851), 345-372. https://doi.org/10.1098/rsta.2006.1932
  31. Maeck, J., Peeters, B. and De Roeck, G. (2001),"Damage identification on the Z24 bridge using vibration monitoring analysis", Smart Mater. Struct., 10(3), 512-517. https://doi.org/10.1088/0964-1726/10/3/313
  32. Manson, G. (2002), "Identifying damage sensitive, environment insensitive features for damage detection", Proceedings of the 3rd International Conference on Identification in Engineering Systems, University of Wales Swansea, UK.
  33. Messina, A., Williams, E.J. and Contursi, T. (1998), "Structural damage detection by a sensitivity and statistical-based method", J. Sound. Vib., 216(5), 791-808. https://doi.org/10.1006/jsvi.1998.1728
  34. Min, F.L., Zhu, W., Lin, C. and Guo, X.J. (2015), "Opening the excavation chamber of the large-diameter size slurry shield: A case study in Nanjing Yangtze River Tunnel in China", Tunn. Undergr. Sp. Tech., 46(2), 18-27. https://doi.org/10.1016/j.tust.2014.10.002
  35. Moaveni, B., He, X.F., Conte, J.P., Fraser, M.S. and Elgamal, A. (2009), "Uncertainty Analysis of Voigt Bridge Modal Parameters Due to Changing Environmental Conditions", Proceedings of the IMAC-XXVII, Florida, USA, February.
  36. Mohammadtaghi, R., Mahdi, E. and Maria, I.T. (2015), "Wave dispersion in high-rise buildings due to soil-structure interaction", Earthq. Eng. Struct. D., 44(2), 317-323. https://doi.org/10.1002/eqe.2454
  37. Nayeri, R.D., Masri, S.F., Ghanem, R.G. and Nigbor, R.L. (2008), "A novel approach for the structural identification and monitoring of a full-scale 17-story building based on ambient vibration measurements", Smart. Mater. Struct., 17(2), 1-19.
  38. Ni, Y.Q., Hua, X.G., Fan, K.Q. and Ko, J.M. (2005), "Correlating modal properties with temperature using long-term monitoring data and support vector machine technique", Eng. Struct., 27(12), 1762-1773. https://doi.org/10.1016/j.engstruct.2005.02.020
  39. Ni, Y.Q., Xia, Y., Liao, W.Y. and Ko, J.M. (2009), "Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower", Struct. Control Health., 16(1), 73-98. https://doi.org/10.1002/stc.303
  40. Ou, J.P. (2003), "Some recent advances of intelligent health monitoring systems for civil infrastructures in mainland China", Proceeding of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure, Tokyo, Japan.
  41. Ou, J.P. and Li, H. (2010), "Structural Health Monitoring in mainland China: Review and Future Trends", Struct. Health. Monit., 9(3), 219-231. https://doi.org/10.1177/1475921710365269
  42. Ou, J.P., Xiao, Y.Q., Huang, H.J., Hai, Z.D., Zhang, T. and Li, W.X. (2001), "Real time safety monitoring system for offshore platform structures", Ocean Eng, 19(2), 1-6.
  43. 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
  44. Peeters, B., Maeck, J. and Roeck, G.D. (2001), "Vibration-based damage detection in civil engineering: excitation sources and temperature effects", Smart. Mater. Struct., 10(3), 518-527. https://doi.org/10.1088/0964-1726/10/3/314
  45. Roeck, G.D. (2003), "The state-of-the-art of damage detection by vibration monitoring: the SIMCES experience", J. Struct. Control., 10(2), 127-134. https://doi.org/10.1002/stc.20
  46. Salawu, O.S. and Williams, C. (1995), "A review of full-scale dynamic testing of bridge structures", Eng. Struct., 17(2), 113-121. https://doi.org/10.1016/0141-0296(95)92642-L
  47. Shi, B., Xu, X. J., Wang, D., Wang, T., Zhang, D., Ding, Y., Xu, H.Z. and Cui, H.L. (2005), "Study on BOTDR-based distributed optical fiber strain measurement for tunnel health diagnosis", Chinese J. Rock Mech. Eng., 24(15), 2622-2628.
  48. Sohn, H. (2007), "Effects of environmental and operational variability on structural health monitoring", Philos. T. Roy. Soc. A., 365(1851), 539-560. https://doi.org/10.1098/rsta.2006.1935
  49. Sohn, H., Dzwonczyk, M., Straser, E., Kiremidjian, A., Law, K. and Meng, T. (1999), "An experimental study of temperature effect on modal parameters of the Alamos Canyon Bridge", Earthq. Eng. Struct. D., 28(8), 879-897. https://doi.org/10.1002/(SICI)1096-9845(199908)28:8<879::AID-EQE845>3.0.CO;2-V
  50. Sohn, H., Farrar, C.R., Hemez, and F.M., et al. (2004), A review of structural health monitoring literature: 1996-2001, Los Alamos National Laboratory Report, LA, NM.
  51. Su, J.Z., Xia, Y., Chen, L., Zhao, X., Zhang, Q.L., Xu, Y.L., Ding, J.M., Xiong, H.B., Ma, R.J., Lv, X.L. and Chen, A. R. (2013), "Long-term structural performance monitoring system for the Shanghai Tower", J. Civil. Struct. Health. Monit., 3(1), 49-61. https://doi.org/10.1007/s13349-012-0034-z
  52. Vanlanduit, S., Parloo, E., Cauberghe, B., Guillaume, P. and Verboven, P. (2005), "A robust singular value decomposition for damage detection under changing operating conditions and structural uncertainties", J. Sound. Vib., 284(3-5), 1033-1050. https://doi.org/10.1016/j.jsv.2004.07.016
  53. Visser, W. (2004), "Ship collision and capacity of brace members of fixed steel offshore platforms", HSE books, research report 220, 1-10.
  54. Wang, Y.L., Yue, Q.J., Guo, F.W., Bi, X.J., Shi, Z.M., Qu, Y. (2012), "Performance evaluation of a new ice-resistant jacket platform based on field monitoring", Cold. Reg. Sci. Technol., 71, 44-53. https://doi.org/10.1016/j.coldregions.2011.10.009
  55. Worden, K., Farrer, C. R., Manson, G. and Park, G. (2007), "The fundamental axioms of structural health monitoring", P. Roy. Soc. A-Math. Phy., 463(2082), 1639-1664. https://doi.org/10.1098/rspa.2007.1834
  56. Xie, X.Y. and Feng, L. (2012), "Real-time health monitoring system for power tunnel", Proceeding of the Geo-Institute's 2012 Annual Congress, Oakland, CA.
  57. Yan, A.M., Kerschen, G., Boe, P.D. and Golinval, J.C. (2005), "Structural damaged diagnosis under varying environmental conditions-part I: a linear analysis", Mech. Syst. Signal. Pr., 19(4), 847-864. https://doi.org/10.1016/j.ymssp.2004.12.002
  58. Yan, J.G. and Li, S.P. (2002), "Design optimization of Three Gorges Dam deformation monitoring ", Yangtze River, 33(6), 36-38.
  59. Yi, T.H., Li, H.N. and Gu, M. (2011), "Optimal sensor placement for structural health monitoring based on multiple optimization strategies", Struct. Des. Tall. Spec., 20(7), 881-900. https://doi.org/10.1002/tal.712
  60. Yi, T.H. and Li, H.N. (2012a), "Methodology developments in sensor placement for health monitoring of civil infrastructures", Int. J. Distrib. Sens. N., Article ID 612726, 1-11.
  61. Zhan, C., Li, D.S. and Li, H.N. (2014), "A local damage detection approach based on restoring force method", J. Sound Vib., 333(20), 4942-4959. https://doi.org/10.1016/j.jsv.2014.05.027
  62. Zhang, J.P., Li, L. and Lu, Z.C. (2008), "Review and prospect of dam safety monitoring", J. China Inst. Water Resour. Hydropower Res., 6(4), 316-322.
  63. Zhao, Z.R. and Xu, R. (2010), "Advance and prospect of monitoring technology for dam safety", Hydropower Automation and dam monitoring, 34(5), 52-57.

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