Acknowledgement
Supported by : National Natural Science Foundation of China
References
- Aktan, A.E. (2009), "Characterizing highway bridges", Proceedings of the SPIE : Smart Structures and Materials, CA, USA, March.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- Erturk, A. and Inman, D.J. (2011), Piezoelectric Energy Harvesting, Wiley.
- 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
- Farrar, C.R. and Worden, K. (2013), Structural Health Monitoring-A Machine Learning Perspective, John Wiley & Sons Ltd, Chichester, UK.
- 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
- 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.
- 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
- 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.
- Kullaa, J. (2004), "Structural health monitoring under variable environmental or operational conditions", Proceedings of the 2nd European Workshop on Structural Health Monitoring, Munich, Germany.
- 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.
- 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
- 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.
- 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
- 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
- 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
- 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.
- 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
- 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)
- 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.
- 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.
- 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
- 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
- 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.
- 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
- 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
- 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.
- 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
- 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.
- 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
- 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
- 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.
- 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
- 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.
- 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
- 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
- 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
- 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
- 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.
- 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
- 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
- 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.
- 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
- 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
- Visser, W. (2004), "Ship collision and capacity of brace members of fixed steel offshore platforms", HSE books, research report 220, 1-10.
- 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
- 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
- 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.
- 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
- Yan, J.G. and Li, S.P. (2002), "Design optimization of Three Gorges Dam deformation monitoring ", Yangtze River, 33(6), 36-38.
- 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
- 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.
- 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
- 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.
- 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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