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교량 건전성 모니터링을 위한 정보처리기법
An Overview of Information Processing Techniques for Structural Health Monitoring of Bridges 원문보기

한국전산구조공학회논문집 = Journal of the computational structural engineering institute of Korea, v.21 no.6, 2008년, pp.615 - 632  

이종재 (세종대학교 토목환경공학과) ,  박영수 (세종대학교 토목환경공학과) ,  윤정방 (한국과학기술원 건설 및 환경공학과) ,  구기영 ,  이진학 (한국해양연구원 연안개발연구본부)

초록
AI-Helper 아이콘AI-Helper

교량 건전성 모니터링은 응답 데이터를 활용한 구조모델링기술, 신호분석, 정보처리 기술의 발전에 따라 손상추정 및 안전성평가와 함께 중요한 연구주제로 부각되었다. 교량 모니터링 시스템은 일반적으로 센서, 데이터 취득장비, 전송시스템 등과 같은 하드웨어와 신호처리, 손상추정, 전시 및 데이터 관리 등과 같은 소프트웨어로 구성된다. 본 논문에서는 교량의 건전도 모니터링을 위한 정보처리기술에 대한 연구 개발 활동을 정리하였다. 교량 건전성 모니터링의 과정에 대한 간단한 소개와 함께, 다양한 신호처리 및 손상추정 알고리즘을 포함한 정보처리기법에 대해서 소개하였다. 현 교량 건전성 모니터링 시스템에서의 주요 문제점과 향후 연구개발활동을 논의하였다.

Abstract AI-Helper 아이콘AI-Helper

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 process...

주제어

참고문헌 (97)

  1. 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 

  2. 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 

  3. Bendat, J. S., Piersol, A. G. (1991) Random Data. Wiley 

  4. Brincker, R., Zhang, L., Andersen, P. (2000) Modal Identification from Ambient Responses using Frequency Domain Decomposition, International modal analysis conference, pp.625-630 

  5. Brincker, R., Zhang, L., Andersen, P. (2001) Modal identification of output-only systems using frequency domain decomposition, Smart Materials & Structures, 10, 441-445 

  6. 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 

  7. 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 

  8. 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 

  9. 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 

  10. Chou, J. H., Ghaboussi, J. (2001) Genetic algorithm in structural damage detection, Computers and Structures, 79, pp.1335-1353 

  11. Cole, H. A. (1968) On-The-Line Analysis of Random Vibrations, AIAA Paper No. 68-288 

  12. 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 

  13. 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 

  14. Gao, Y. (2005) Structural health monitoring strategies for smart sensor networks, Doctoral dissertation, University of Illinois at Urbana-Champaign 

  15. Giraldo, D., Dyke, S., Caicedo, J. (2006) Damage detection accommodating varying environmental conditions, Structural Health Monitoring-an International Journal, 5, pp.155-172 

  16. 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 

  17. 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 

  18. 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 

  19. Hou, Z. N., M. , St. Amand, R. (2000) Wavelet-based approach for structural damage detection, Journal of Engineering Mechanics, ASCE, 126(7) 

  20. 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 

  21. Ibrahim, S. R. (1977) Random decrement technique for modal identification of structures, Journal of Spacecraft and Rockets, 14(11), pp.696-700 

  22. Jang, J. E. (2005) Semiactive Control of Stay Cable Vibration Using MR Dampers. MS thesis, KAIST 

  23. Jang, S. A. (2003) A Comparative Study on Hilbert-Huang Transform and Wavelet Transform for Structural Damage Assessment, MS thesis, KAIST 

  24. Jlooiffe, I. T. (1986) Principal Component Analysis. Springer, New York 

  25. Juang, J. N. (1994) Applied System Identification, Prentice Hall, Inc., Englewood Cliffs 

  26. 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 

  27. 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 

  28. 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 

  29. 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 

  30. 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 

  31. 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 

  32. 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 

  33. Kim, J. T., Stubbs, N. (2002) Improved Damage Identification Method Based on Modal Information, Journal of Sound and Vibration, 252(2), p.223-238 

  34. 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 

  35. Kim, K S. (2006) Fiber Optic Sensors for Smart Monitoring, Journal of Earthquake Engineering Society of Korea, 10(6), pp.137-145 

  36. 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 

  37. 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 

  38. 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 

  39. 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 

  40. 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 

  41. Krzanowski, W. J. (2000) Principals of Multivariate Analysis-A User's Perspective, Revised ed ., Oxford University Press, Oxford 

  42. 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 

  43. 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 

  44. 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 

  45. 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 

  46. 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 

  47. 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 

  48. 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 

  49. 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 

  50. 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 

  51. 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 

  52. Loh, C., Chung, S. (1993) A Three-stage Identification Approach for Hysteretic Systems, Earthquake Engineering and Structural Dynamics, 22, pp.129-150 

  53. 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 

  54. 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 

  55. Maia, N. M. M., Silva, J. M. M. (1997) Theoretical and Experimental Modal Analysis, Research Studies Press Lid., England 

  56. Mallat , S. (1998) A Wavelet tour of signal processing, Academic press 

  57. 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 

  58. 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 

  59. 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 

  60. 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 

  61. Overschee, V. P., De Moor, B. (1996) Subspace Identification for Linear Systems, KIuwer Academic Publisher 

  62. 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 

  63. 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 

  64. 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 

  65. 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 

  66. 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 

  67. 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 

  68. 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 

  69. 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 

  70. Rytter, A. (1993) Vibration based inspection of civil engineering, Ph.D. Dissertation. University of Aalborg, Denmark 

  71. 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 

  72. 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 

  73. 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 

  74. 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 

  75. 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 

  76. Specht, D. F. (1990) Probabilistic neural networks, Neural Networks, 3, pp.109-118 

  77. 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 

  78. 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 

  79. Vapnik, V. (1995) The Nature of Statistical Learning Theory, Springer Berlint (New York) 

  80. Vapnik, V. (1999) An overview of statistical learning theory. IEEE Transactions on neural networks, 10(5), pp.988-999 

  81. Worden, K. Manson, G., Fieller, N. J. (2000) Damage Detection Using Outlier Analysis, Journal of Sound and Vibration, 229, pp.647-667 

  82. 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 

  83. 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 

  84. 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 

  85. 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 

  86. 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 

  87. 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 

  88. 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 

  89. 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 

  90. Yun, C., Shinozuka, M. (1980) Identification of Nonlinear Structural Dynamic Systems, Journal of Structural Mechanics, 8(2), pp.187-203 

  91. Yun, C. B., Bahng, E. Y. (2000) Substructural identification using neural networks, Computers and Structures, 77(1), pp.41-52 

  92. 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 

  93. 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 

  94. 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 

  95. 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 

  96. 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 

  97. 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 

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