An Overview of Information Processing Techniques for Structural Health Monitoring of Bridges

교량 건전성 모니터링을 위한 정보처리기법

  • Published : 2008.12.30

Abstract

The bridge health monitoring has become an important research topic in conjunction with damage assessment and safety evaluation of structures owing to the improvement of structural modeling techniques incorporating response measurements and the advancements in signal analysis and information processing capabilities. The bridge monitoring systems are generally composed of hardwares such as sensors, data acquisition equipment, data transmission systems, etc, and softwares such as signal processing, damage assessment, display and management, etc. In this paper, the research and development(R&D) activities on the information processing for structural health monitoring of bridges are reviewed. After a brief introduction to the process of bridge health monitoring, various information processing techniques including various signal processing and damage detection algorithms are introduced in detail. Several challenges addressing critical issues in the current bridge health monitoring system and future R&D activities are discussed.

References

  1. Brownjohn, J. M. W., Xia, P. Q., Hao, H., Xia, Y. (2001) Civil structure condition assessment by FE model updating: - methodology and case studies, Finite elements in analysis and design : the international journal of applied finite elements and computer aided engineering, 37(10), pp.761-775 https://doi.org/10.1016/S0168-874X(00)00071-8
  2. Cho, H. N., Kang, K. K., Lee, S. C., Hur, C. K. (2002) Probabilistic neural network-based damage assessment for bridge structures, Journal of Korea Institute for Structural Maintenance Inspection, 6(5), pp.169-179
  3. Doebling, S. W., Farrar, C. R., Prime, M. B. (1998) A summary review of vibration-based damage identification methods, The Shock and Vibration, Digest, 30(2), pp.91-105 https://doi.org/10.1177/058310249803000201
  4. Giraldo, D., Dyke, S., Caicedo, J. (2006) Damage detection accommodating varying environmental conditions, Structural Health Monitoring-an International Journal, 5, pp.155-172 https://doi.org/10.1177/1475921706057987
  5. Hjelmstad, K. D., Shin, S. (1997) Damage detection and assessment of structures from static response, Journal of Engineering Mechanics, ASCE, 126(6), pp.568-576
  6. Jang, J. E. (2005) Semiactive Control of Stay Cable Vibration Using MR Dampers. MS thesis, KAIST
  7. Jung, D. S., Kim, C. Y. (2006) Numerical Verification of Hybrid Optimization Technique for Finite Element Model Updating, Journal of Earthquake Engineering Society of Korea, 10(6), pp.19-28 https://doi.org/10.5000/EESK.2006.10.6.019
  8. Kim, H. J. (2008) System Identification of a Building Structure Using Wireless MEMS System, Journal of Korean Society of Sound and Vibration, 18(4), pp.458-464 https://doi.org/10.5050/KSNVN.2008.18.4.458
  9. Kim, J. M., Lee, J. J., Ahn, S. S., Choi, J. S. (2008) A Vibration Exciter for Evaluating Cable Damping of a Cable-stayed Bridge, Advances in Science and Technology, 56, pp.206-211 https://doi.org/10.4028/www.scientific.net/AST.56.206
  10. Kim, N. S., Park, D. D., Park, Y. M., Cheung, J. H. (2007) Back Analysis Technique for the Estimation of Tension Force on Hanger Cables, Journal of Earthquake Engineering Society of Korea, 11(3), pp.1-10 https://doi.org/10.5000/EESK.2007.11.3.001
  11. Koo, K. Y., Yun, C. B. (2002) Unscented particle filter for time domain identification of nonlinear structural dynamic systems, Proceedings of the Int'l Conf. on Advances and New Challenges in Earthquake Engineering Research, Hong Kong, pp.555-562
  12. Lee, J. J. L., Yun, C. B. (2006) Two-Step Approaches for Effective Bridge Health Monitoring, Structural Engineering and Mechanics, 23(1), pp.75-95 https://doi.org/10.2208/jsceseee.23.75s
  13. Lee, J. J. L., Yun, C. B. (2007) Damage Localization for Bridges Using Probabilistic Neural Networks, KSCE Journal of Civil Engineering, 11(2), pp.111-120 https://doi.org/10.1007/BF02823854
  14. Lee, S. Y. (2005) Nondestructive Damage Identification of Free Vibrating Thin Plate Structures Using Micro-Genetic Algorithms, Journal of Korean Society of Steel Structures, 17(2), pp.173-181
  15. Lu, C. J., Hsu, Y. T. (2002) Vibration analysis of an inhomogeneous string for damage detection by wavelet transform, Int. Jour. of Mech. Sciences, 44, pp.745-754 https://doi.org/10.1016/S0020-7403(02)00006-1
  16. Ni, Y. Q., Zhou, X. T., Ko, J. M., Wang, B. S. (2000) Vibration-based damage localization in Ting Kau Bridge using probabilistic neural network. Advances in Structural Dynamics, J.M. Ko and Y.L. Xu (eds.), Elsevier Science Ltd., Oxford, UK, II, pp.1069-1076
  17. Otte, D., Van de Ponseele, P., Leuridan, J. (1990) operational shapes estimation as a function of dynamic loads, Proceedings of the 8th International Modal Analysis Conference, pp.413-421
  18. Rytter, A. (1993) Vibration based inspection of civil engineering, Ph.D. Dissertation. University of Aalborg, Denmark
  19. Sato, T., Takei, K. (1997) Real time robust identification algorithm for structural systems with time-varying dynamic characteristics, Proc., SPIE's 4th Annu. Symp. On Smart Struct.. And Mat., SPIE
  20. Sohn, H., Czarnecki, J. J., Farrar, C. R. (2000) Structural Health Monitoring Using Statistical Pattern Recognition Techniques, Journal of Engineering Mechanics, ASCE, 126(11), pp.1356-1363
  21. Specht, D. F. (1990) Probabilistic neural networks, Neural Networks, 3, pp.109-118 https://doi.org/10.1016/0893-6080(90)90049-Q
  22. Worden, K. Manson, G., Fieller, N. J. (2000) Damage Detection Using Outlier Analysis, Journal of Sound and Vibration, 229, pp.647-667 https://doi.org/10.1006/jsvi.1999.2514
  23. Yao, G. C., Chang, K. C. Lee, G. C. (1992) Damage diagnosis of steel frames using vibrational signature analysis, Journal of Eng. Mech. ASCE, 118(9), pp.1949-1961 https://doi.org/10.1061/(ASCE)0733-9399(1992)118:9(1949)
  24. Yun, C. B., Hong, K. S. (1992) Damage assessment of structures by inverse modal perturbation method, Proceedings of the 4th East Asia-Pacific Conference on Structural Engineering and Construction, Seoul, Korea
  25. Zhang, J., Sato, T., Iai, S. (2006) Support vector regression for on-line health monitoring of large-scale structures, Structural Safety, 28(4), pp.392-406 https://doi.org/10.1016/j.strusafe.2005.12.001
  26. Zhang., R. R., Ma., S. (2001) HHT Analysis of Earthquake Motion Recordings and its Implications to Simulation of Ground Motion, Monte Carlo Simulation, pp.483-490
  27. Zou, J., Chen, J., Pu, Y. P. Zhong, P. (2002) On the wavelet time-frequency analysis algorithm in identification of a cracked rotor, Journal of Strain Analysis, 37(3), pp.239-246 https://doi.org/10.1243/0309324021514998
  28. Jang, S. A. (2003) A Comparative Study on Hilbert-Huang Transform and Wavelet Transform for Structural Damage Assessment, MS thesis, KAIST
  29. Lee, J. J., Koo, K. Y., Hong, J. Y., Yun, C. B. (2008) Remotely Controllable SHM System for a Concrete Box-girder Bridge, Advances in Science and Technology, 56, pp.339-344 https://doi.org/10.4028/www.scientific.net/AST.56.339
  30. Park, H. W. (2003b) 정규화 기법을 이용한 구조물의 system identifications과 활용 사례들, Magazine of Computational Structural Engineering Institute of Korea, 16(1), pp.44-49
  31. Yi, J. H., Yun, C. B. (2002) Model Updating and Joint Damage Assessment for Frame Structures Using Structural Identification Techniques, Journal of Korean Society of Civil Engineers, 22(6A), pp.1271-1283
  32. Sampaio, R. P. C., Maia, N. M. M., Silva, J. M. M. (1999) Damage detection using the frequency response function curvature method, Journal of Sound and Vibration, 226(5), pp.1029-1042 https://doi.org/10.1006/jsvi.1999.2340
  33. Shi, Z. Y., Law, S. S., Zhang, L. M. (1998) structural damage localization from modal strain energy change, Journal of Sound and Vibration, 218(5), pp.825-844 https://doi.org/10.1006/jsvi.1998.1878
  34. Stubbs, N., Kim, J. T., Farrar, C. R. (1995) Field verification of a nondestructive damage localization and sensitivity estimator algorithm, Proceedings of the 13th International Modal Analysis Conference, pp.210-218
  35. Wu, X., Ghaboussi, J., Garret, J. H., Jr. (1992) Use of neural networks in detection of structural damage, Computers and Structures, 42(4), pp.649-659 https://doi.org/10.1016/0045-7949(92)90132-J
  36. Yun, C. B., Lee, J. J., Kim, S. K. Kim, J. W. (2004a) Recent R&D Activities on Structural Health Monitoring for Civil Infra-Structures in Korea, KSCE Journal of Civil Engineering, 7(6), pp.637-652 https://doi.org/10.1007/BF02829136
  37. Cole, H. A. (1968) On-The-Line Analysis of Random Vibrations, AIAA Paper No. 68-288
  38. Kim, S. K., Ko, H. M., Lee, J. H., Bae, I. H. (2006) Signal Analysis from a Long-Term Bridge Monitoring System in Yongjong Bridge, Journal of Earthquake Engineering Society of Korea, 10(6), pp.9-18 https://doi.org/10.5000/EESK.2006.10.6.009
  39. Ko, J. M., Sun, Z. G., Ni, Y. Q. (2002) Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge, Engineering Structures, 24, pp.857-868 https://doi.org/10.1016/S0141-0296(02)00024-X
  40. Koo, K Y. (2008) Structural Health Monitoring Methods for Bridges Using Ambient Vibration and Impedance Measurements, Ph.D Thesis, Korea Advanced Institute of Science and Technology
  41. Park, S. H., Yun, C. B., Roh, Y. R. L., J. J. (2006) PZT-based Active Damage Detection Techniques for Steel Bridge Components, Smart Mater. Struct, 15, pp.957-966 https://doi.org/10.1088/0964-1726/15/4/009
  42. Zou, Y., Tong, L. Steven, G. P. (2000) Vibrationbased model-dependent damage (delamination) identification and health monitoring for composite structures-A review, Journal of Sound and Vibration, 230(2), pp.357-378 https://doi.org/10.1006/jsvi.1999.2624
  43. Jung, D. S., Kim, C. Y., Kim, N. S., Yoon, J. G. (2002) Estimation of Dynamic Characteristics of Namhae Suspension Bridge Using Ambient Vibration Test, Journal of Korean Society of Civil Engineers, 22(6A), pp.1501-1514
  44. Chou, J. H., Ghaboussi, J. (2001) Genetic algorithm in structural damage detection, Computers and Structures, 79, pp.1335-1353 https://doi.org/10.1016/S0045-7949(01)00027-X
  45. Kim, J. T., Stubb, N. (1995) Model uncertainty impact and damage-detection accuracy in plate girder, Journal of Structural Engineering, ASCE, 121(10), pp.1409-1417 https://doi.org/10.1061/(ASCE)0733-9445(1995)121:10(1409)
  46. Chang, S. P., Jang, J. H., Kim, H. K., Chu, S. B. (1994) The Ambient Vibration Test on Actual bridge to Determine the Dynamic Characteristics of Suspension bridge, Journal of Korean Society of Steel Structures, 6(1), pp.193-202
  47. Kim, J. T., Stubbs, N. (2002) Improved Damage Identification Method Based on Modal Information, Journal of Sound and Vibration, 252(2), p.223-238 https://doi.org/10.1006/jsvi.2001.3749
  48. Vapnik, V. (1999) An overview of statistical learning theory. IEEE Transactions on neural networks, 10(5), pp.988-999 https://doi.org/10.1109/72.788640
  49. Yun, C., Shinozuka, M. (1980) Identification of Nonlinear Structural Dynamic Systems, Journal of Structural Mechanics, 8(2), pp.187-203 https://doi.org/10.1080/03601218008907359
  50. Zou, J., Chen, J., Pu, Y. P., Zhong, P. (2002) On the wavelet time-frequency analysis algorithm in identification of a cracked rotor, Jour. of strain analysis, 37(3), pp.239-246 https://doi.org/10.1243/0309324021514998
  51. Doebling, S. W., Farrar, C. R., Prime, M. B., Shevits, D. W. (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-I3070-MS
  52. Newland, D. E. (1999) Ridge and Rhase Identification in the Frequency Analysis of Transient Signals by Harmonic Wavelets, Jour. of. Vibration and Acoustics, ASME, 121(2), pp.149-155 https://doi.org/10.1115/1.2893957
  53. Heo, G., Lee, G., Choi, M., Lee, D. (2003) A 2-D Strain Energy Damage Detection Method Using Measured Data of No Original Analytical Model for Cable-Stayed Bridge, Journal of Korean Society of Civil Engineers, 23(4A), pp.657-663
  54. Kim, J. T., Ryu, Y. S., Cho, H. M., Stubbs, N. (2003a) Damage Identification in Beam-Type Structures: Frequency-Based Method Vs Mode-Shape-Based Method, Engineering Structures, 25, pp.57-67 https://doi.org/10.1016/S0141-0296(02)00118-9
  55. Stetson, K. A., Harrison, I. R. (1981) Redesign of structural vibration modes by finite element inverse perturbation, Journal of Engineering for Power, ASME, 103, pp.319-325 https://doi.org/10.1115/1.3230723
  56. Yun, C. B., Bahng, E. Y. (2000) Substructural identification using neural networks, Computers and Structures, 77(1), pp.41-52 https://doi.org/10.1016/S0045-7949(99)00199-6
  57. Lee, J. J., Lee, J. W., Yi, J. H., Yun, C. B., Jung, H. Y. (2005) Neural Networks-based Damage Detection for Bridges Considering Errors in Baseline Finite Element Models, J. of Sound and Vibration, 280, pp. 555-578 https://doi.org/10.1016/j.jsv.2004.01.003
  58. Yi, J. H., Yun, C. B. (2003) A Comparative Study on Modal Parameter Identification Methods without Input Excitation Information, Journal of Korean Society of Civil Engineers, 23(2A), pp.187-201
  59. Gao, Y. (2005) Structural health monitoring strategies for smart sensor networks, Doctoral dissertation, University of Illinois at Urbana-Champaign
  60. Muller, K. R., Smola, A., Ratsch, G., Seholkopf, B., Kohlmorgen, J., Vapnik, V. (1997) Predicting Time Series with Support Vector Machines, Proceedings of ICANN'97, Lausanne
  61. Park, G., Rutherford, A.C., Sohn, H., Farrar, C. R. (2003a) An outlier analysis framework for impedance-based structural health monitoring, Journal of Sound and Vibration, 35(6), pp.451-463
  62. Yang, J. N., Lei, Y. (2000) System Identification of Linear Structures Using Hilbert Transform and Empirical Mode Decomposition, Proceedings- Spie the International Society for Optical Engineering, 1, pp.213-219
  63. Brincker, R., Zhang, L., Andersen, P. (2001) Modal identification of output-only systems using frequency domain decomposition, Smart Materials & Structures, 10, 441-445 https://doi.org/10.1088/0964-1726/10/3/303
  64. Abdel Wahab, M. M., De Hoeck, G. (1999) Damage detection in bridges using modal curvatures: Application to a real damage scenario, Journal of Sound and Vibration, 226(2), pp.217-235 https://doi.org/10.1006/jsvi.1999.2295
  65. Kim, K S. (2006) Fiber Optic Sensors for Smart Monitoring, Journal of Earthquake Engineering Society of Korea, 10(6), pp.137-145 https://doi.org/10.5000/EESK.2006.10.6.137
  66. Krzanowski, W. J. (2000) Principals of Multivariate Analysis-A User's Perspective, Revised ed ., Oxford University Press, Oxford
  67. Park, S., Lee, J. J., Yun, C. B., Inman, D. J. (2008) Electro-mechanical Impedance-based Structural Health Monitoring Using Principal Component Analysis and k-means Clustering, Journal of Intelligent Material Systems and Structures, 19(4), pp.509-520 https://doi.org/10.1177/1045389X07077400
  68. Huang, N. E., S. Zheng, S. R., Long, M. C., Wu, H., H. , Shih, Q., Zheng, N.-C., Yen, C. C., T'unng, Liu, M. H. (1998) The Empirical Mode Decomposition And Hilbert Spectrum For Nonlinear And Non-stationary Time Series Analysis, Proc. Roy. Soc Loud, A 454, pp.903-995
  69. Kwon, S. J., Lim, D. H., Shin, S. (2004) Determination of Optimal Sensor Location for Modal System Identification, Journal of Korean Society of Civil Engineers, 24(1A), pp.177-183
  70. Hou, Z. N., M. , St. Amand, R. (2000) Wavelet-based approach for structural damage detection, Journal of Engineering Mechanics, ASCE, 126(7)
  71. Jlooiffe, I. T. (1986) Principal Component Analysis. Springer, New York
  72. Aoki, T., Ceravolo, R., De Stefano, A., Genovese, C., Sabia, D. (2002) Seismic vulnerability assessment of chemical plants through probabilistic neural networks, Reliability engineering & system safety, 77(3), pp.263-268 https://doi.org/10.1016/S0951-8320(02)00059-5
  73. Juang, J. N. (1994) Applied System Identification, Prentice Hall, Inc., Englewood Cliffs
  74. Pandey, A. K., Biswas, M., Samman, M. M. (1991) Damage detection from changes in curvature mode shape, Journal of Sound and Vibration, Vol.145, pp.312-332
  75. Ye, Q., Huang, Q., Gao, W., Zhao, D. (2005) Fast and robust text detection in images and video frames, Image and Vision Computing, 23(6), pp.565-576 https://doi.org/10.1016/j.imavis.2005.01.004
  76. Loh, C., Lin, C., Huang, C. (2000) Time Domain Identification of Frames under Earthquake Loadings, Journal of Engineering Mechanics, ASCE, 126(7), pp.693-703 https://doi.org/10.1061/(ASCE)0733-9399(2000)126:7(693)
  77. Sohn H., A. D. W., Worden K. Farrar C. R. (2005) Structural Damage Classification Using Extreme Value Statistics, ASME Journal of Dynamic Systems, Measurement, and Control, 127(1), pp.125-132 https://doi.org/10.1115/1.1849240
  78. Vapnik, V. (1995) The Nature of Statistical Learning Theory, Springer Berlint (New York)
  79. Kim, J. T., Yun, C. B., Yi, J. H. (2003b) Temperature effects on frequency-based damage detection in plate-girder bridges, KSCE Journal of Civil Engineering, 7(6), pp.725-733 https://doi.org/10.1007/BF02829141
  80. Lee, J. W., Kim, J. D., Yun, C. B., Yi, J. H., Shim, J. M. (2002) Health-monitoring method for bridges under ordinary traffic loadings, Journal of Sound and Vibration, 257(2), pp.247-264 https://doi.org/10.1006/jsvi.2002.5056
  81. Maia, N. M. M., Silva, J. M. M. (1997) Theoretical and Experimental Modal Analysis, Research Studies Press Lid., England
  82. Overschee, V. P., De Moor, B. (1996) Subspace Identification for Linear Systems, KIuwer Academic Publisher
  83. Park, H. W., Shin, S., Lee, H. S. (2001) Determination of an optimal regularization factor in system identification with Tikhonov regularization for linear elastic continua, International Journal for Numerical Methods in Engineering, 51, pp.1211-1230 https://doi.org/10.1002/nme.219
  84. Park, S. Y. (2003c) Optimal Placement of Sensors for Damage Detection in a Structure and its Application, Journal of Earthquake Engineering Society of Korea, 7(4), pp.81-87
  85. Brincker, R., Zhang, L., Andersen, P. (2000) Modal Identification from Ambient Responses using Frequency Domain Decomposition, International modal analysis conference, pp.625-630
  86. Kim, B., Park, J. (2008) Modal Parameter Extraction of Seohae Cable-stayed Bridge: II. Natural Frequency and Damping Ratio, Journal of Korean Society of Civil Engineers, 28(5A), pp.641-647
  87. Loh, C., Chung, S. (1993) A Three-stage Identification Approach for Hysteretic Systems, Earthquake Engineering and Structural Dynamics, 22, pp.129-150 https://doi.org/10.1002/eqe.4290220204
  88. Li, Y. Y., Yam, L. H. (2001) Sensitivity analyses of sensor locations for vibration control and damage detection of thin-plate systems, Journal of Sound and Vibration, 240(4), pp.623-636 https://doi.org/10.1006/jsvi.2000.3265
  89. Quek, S. T., Wang, Q., Zhang, L., Ong, K. H. (2001) Practical issues in the detection of damage in beams using wavelets, Smart Materials and Structures, 10, pp.1009-1017 https://doi.org/10.1088/0964-1726/10/5/317
  90. Yun, C. B., Yi, J. H. Y., Lee, J. J. L., Lee, J. S. L., Jeon, G. H. J. (2004b) Modal based Structural Model Modification Using Genetic Algorithm, Journal of Computational Structural Engineering Institute, 17(4), pp.389-403
  91. Bendat, J. S., Piersol, A. G. (1991) Random Data. Wiley
  92. Chen, J., Xu, Y. L. (2002) Identification of modal damping ratios of structures with closely spaced modal frequencies, Structural Engineering and Mechanics, 14(4), pp.417-434 https://doi.org/10.12989/sem.2002.14.4.417
  93. Heo, G. H., Choi, M. Y. (2002) Optimal Sensor Allocation of Cable-Stayed Bridge for Health Monitoring, Journal of KSMI, 6(2), pp.145-155
  94. Ibrahim, S. R. (1977) Random decrement technique for modal identification of structures, Journal of Spacecraft and Rockets, 14(11), pp.696-700 https://doi.org/10.2514/3.57251
  95. Lee, H. S., Kim, Y. H., Park, C. J., Park, H. W. (1999) A New Spatial Regularization Scheme for the Identification of the Geometric Shape of an Inclusion in a Finite Bodies, Int. Journal for Numerical Meth. in Engrg., 46, pp.973-992 https://doi.org/10.1002/(SICI)1097-0207(19991110)46:7<973::AID-NME730>3.0.CO;2-Q
  96. Levin, R. I., Lieven, N. A. J. (1998) dynamic finite element model updating using neural networks, Journal of Sound and Vibration, 210(5), pp.593-607 https://doi.org/10.1006/jsvi.1997.1364
  97. Mallat , S. (1998) A Wavelet tour of signal processing, Academic press