Smart Structures and Systems

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Sensor technology innovation for the advancement of structural health monitoring: a strategic program of US-China research for the next decade

  • Glaser, Steven D. (Department of Civil and Environmental Engineering, University of California) ;
  • Li, Hui (School of Civil Engineering, Harbin University of Technology) ;
  • Wang, Ming L. (University of Illinois at Chicago, Department of Civil and Materials engineering) ;
  • Ou, Jinping (Dalian University of Technology) ;
  • Lynch, Jerome (Department of Civil and Environmental Engineering, Department of Electrical Engineering and Computer Science, University of Michigan)
  • Received : 2006.10.20
  • Accepted : 2007.01.15
  • Published : 2007.04.25
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References

  1. Abe, M., Fujino, Y. and Kaito, K. (2001), "Damage detection of civil concrete structures by laser doppler vibrometry", Proceedings of the International Modal Analysis Conference, 1, 704-709.
  2. Analog Devices, http://www.analog.com/analog_root/static/mems/images/202DIE.jpg.
  3. Andringa, M. M., Neikirk, D. P., Dickerson, N. P. and Wood, S. L. (2005), "Unpowered wireless corrosion sensor for steel reinforced concrete", 2005 IEEE Sensors, Irvine.
  4. Arici, Y. and Mosalam, K. M. (2005), "Modal identification of bridge systems using state-space methods", Structural Control and Health Monitoring, 12(3-4), 381-404. https://doi.org/10.1002/stc.76
  5. Armangué, X., Araújo, H. and Salvi, J. (2003), "A review on egomotion by means of differential epipolar geometry applied to the movement of a mobile robot", Pattern Recognition, 36(12), 2927-2944. https://doi.org/10.1016/S0031-3203(03)00183-3
  6. Baise, L. G., Glaser, S. D. and Sugano, T. (2001), "Consistency of dynamic site response at Port Island", Earthq. Eng. Struct. Dyn., 30(6), 803-818. https://doi.org/10.1002/eqe.38
  7. Baise, L. G. and Glaser, S. D. (2000), "Consistency of site response estimates made using system identification," Bulletin, Seismological Society of America, 90(4), 993-1009. https://doi.org/10.1785/0119980169
  8. Beck, J. L. and Katafygiotis, L. S. (1998), "Updating models and their uncertainties: Bayesian statistical framework", J. Eng. Mech., 124(4), 455-461. https://doi.org/10.1061/(ASCE)0733-9399(1998)124:4(455)
  9. Bishop, C. M. (1995), Neural Networks for Pattern Recognition, Oxford University Press, Oxford, UK.
  10. Bucher, C., Huth, O. and Macke, M. (2003), "Accuracy of system identification in the presence of random fields", Proceedings of the 9th International Conference on the Applications of Statistics and Probability(ICASP 9).
  11. Cantrell, J. H. (2004), "Substructural organization, dislocation plasticity and harmonic generation in cyclically stressed wavy slip metals", Proc. R. Soc. Lond., A 460, 757.
  12. Cantrell, J. H. and Yost, W. T. (1994), "Acoustic harmonic-generation from fatigue-induced dislocation dipoles", Philosophical Magazine A-Physics of Condensed Matter Structure Defects and Mechanical Properties, 69, 315.
  13. Carkhuff, B. and Cain, R. (2003), "Corrosion sensors for concrete bridges", IEEE Instrumentation and Measurement Magazine, 6(2), 19-24.
  14. Carlstrom, P. (2005), "As solar gets smaller, its future gets brighter", San Francisco Chronicle, July 11, 2005.
  15. Castillo, E. (1988), Extreme Value Theory in Engineering, Academic Press, San Diego.
  16. Chan, T. H., Ni, Y. Q. and Ko, J. M. (1999), "Neural network novelty filtering for anomaly detection of Tsing Ma bridge cables", Structural Health Monitoring 2000, Stanford University, Palo Alto, California, 430-439.
  17. Chang, C. C. and Ji, Y. F. (2006a), "A flexible videogrammetric technique for three-dimensional structural vibration measurement", J. Eng. Mech., ASCE, In press.
  18. Chiang, D. Y. and Lai, W. Y. (1999)., "Structural damage detection using the simulated evolution method", AIAA Journal, 37(10), 1331-1333. https://doi.org/10.2514/2.607
  19. Ching, J. and Glaser, S. D. (2003a), "Tracking rapidly changing dynamical systems using a semi-parametric statistical method based on wavelets", Earthq. Eng. Struct. Dyn., 32, 2377-2406. https://doi.org/10.1002/eqe.333
  20. Ching, J. and Glaser, S. D. (2003b), "Identification of soil degradation during earthquake excitations by Baysian inference", Earthq. Eng. Struct. Dyn., 32, 845-869. https://doi.org/10.1002/eqe.251
  21. Chung, H.-C., Enomoto, T., Shinozuka, M., Chou, P., Park, C., Yokoi, I. and Morishita, S. (2004), "Real time visualization of structural response with wireless MEMS sensors", Proceedings of 13th World Conference on Earthquake Engineering, August 2-6, Vancouver, BC, Canada.
  22. Ciloglu, K., Catbas, F. N., Pervizpour, M., Wang, S. and Aktan, A. (2001), "Structural identification of phenomenological physical models with controlled mechanisms of uncertainty", 6th Annual SPIE Int'l Symposium on NDE for Health Monitoring and Diagnostics, 4-8 March, Newport Beach, CA USA.
  23. Demetriou, M. and Hou, Z. (1999), "A comparison study of on-line fault diagnosis schemes", Proc., 13th Conf. on Engrg. Mech., ASCE, Reston, Va. (CD-ROM).
  24. Dosch, J. J., Inman, D. J. and Garcia, E. (1992), "A self-sensing piezoelectric actuator for collocated control", J. Intell. Matls. Sys. & Struct, 3, 166-185. https://doi.org/10.1177/1045389X9200300109
  25. Dubuisson, M. P. and Jain, A. K. (1995), "Contour extraction of moving objects in complex outdoor scenes", Int. J. Computer Vision, 14(1), 83-105. https://doi.org/10.1007/BF01421490
  26. DustNetworks (2006), www.dustnetworks.com.
  27. Egusa, S. and Iwasawa N. (1998), "Piezoelectric paints as one approach to smart structural materials with healthmonitoring capabilities", Smart Mater. Struct., 7(4), 438-445. https://doi.org/10.1088/0964-1726/7/4/002
  28. Farrar, C. R., Baker, W. E., Bell, T. M., Cone, K. M., Darling, T. W., Duffey, T. A., Eklund, A. and Migliori, A. (2004), "Dynamic characterization and damage detection in the I-40 Bridge over the Rio Grande", Los Alamos National Laboratory Technical Report LA-12767-MS.
  29. FHWA (Federal Highway Administration), (2002), "FHWA bridge inspector's reference manual", Technical Report FHWA-NHI 03-001.
  30. Fortner, B. (2003), "Embedded miniature sensors detect chloride in bridge decks", Civil Engineering, ASCE, June, 42-43.
  31. Fraden, J. (1993), AIP Handbook of Modern Sensors: Physics, Designs, and Applications, American Institute of Physics, New York.
  32. Friswell, M. and Mottershead, J. (1995), Finite Element Model Updating in Structural Dynamics. Dordrecht, The Netherlands, Kluwer.
  33. Fritzen, C. P. and Bohle, K. (1999), "Identification of damage in large scale structures by means of measured FRFs - procedure and application to the I40-highway bridge", Proceedings of the International Conference on Damage Assessment of Structures (DAMAS 99), Dublin, Ireland, 310-319.
  34. Fu, X. and Chung, D. D. (1996), "Self-monitoring concrete", Proceedings of SPIE, 2719, 62-68.
  35. Gao, H., Shi, Y. and Rose, J. L. (2005), "Guided wave tomography on an aircraft wing with leave in place sensors", AIP Conference Proceedings, 760, 7887-94.
  36. Garcia, G. and Stubbs, N. (1997), "Application and evaluation of classification algorithms to a finite element model of a three-dimensional truss structure for nondestructive damage detection", Smart Systems for Bridges, Structures, and Highways, Proceedings of SPIE, 3043, 205-216.
  37. Gelman, A. (1998), "A Bayesian formulation of exploratory data analysis and goodness-of-fit testing", Int. Statistical Review, 71, 369-382.
  38. Giurgiutiu, V., Zagrai, A. and Bao, J. (2004), "Damage identification in aging aircraft structures with piezoelectric wafer active sensors", J. Intelligent Mater. Sys. Struct., 15(9-10), 673-687. https://doi.org/10.1177/1045389X04038051
  39. Glaser, S. D., Shoureshi, R. and Pescovitz, D. (2005), "Future sensing systems", Smart Struct. Sys., 1(1), 103-120. https://doi.org/10.12989/sss.2005.1.1.103
  40. Grosse, C. U., Glaser, S. D. and Krüger, M. (2006), "Wireless acoustic emission sensor networks for structural health monitoring in civil sngineering", Proceedings, European Conference on Non-Destructive Testing, Berlin, 6, Tu.1.7.3.
  41. Gu, H., Song, G., Dhonde, H., Mo, Y. L. and Yan, S. (2006a), "A unified piezo-based approach for strength and health monitoring of concrete structures", The Proceeding of 4th China-Japan-US Symposium on Structural Control and Monitoring (Hangzhou, China), Oct. 16-17.
  42. Guccione, S., Verkest, D. and Bolsens, I. (2002), "Design technology for networked reconfigurable FPGA platforms", Proceedings of the conference on Design, automation and test in Europe, 994-1002.
  43. Hamill, L. (1990), Bridge Hydraulics, E. & F.N. Spon, London, UK.
  44. Hart, G. C. and Yao, J. T. P. (1977), "System identification in structural dynamics", J. Eng. Mech. Div., ASCE, 103(EM6), 1089-104.
  45. Hill, J., Szewcyzk, R., Woo, A., Hollar, S., Culler, D. and Pister, K. J. S. (2000), "System architecture directions for networked sensors", Proceedings of Ninth International Conference on Architectural Support for Programming Languages and Operating Systems, 93-104.
  46. Huang, G. (2003), "Casting the Wireless Sensor Net", MIT Technology Review, July, 12, 2003. http://www.technologyreview.com/InfoTech/13235/.
  47. Hunt, B. E. (2005), "Scour monitoring programs for bridge health", Proceedings of the Transportation Research Board - 6th International Bridge Engineering Conference: Reliability, Security, and Sustainability in Bridge Engineering, 531-536.
  48. Inada, T., Shimamura, Y., Todoroki, A., Kobayashi, H. and Nakamura, H. (1999), "Damage identification method for smart composite cantilever beams with piezoelectric materials", Structural Health Monitoring 2000, Stanford University, Palo Alto, California, 986-994.
  49. Ihn, J.-B. and Chang, F.-K. (2004), "Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I. diagnostics", Smart Materials and Structures, 13(3), 609-20. https://doi.org/10.1088/0964-1726/13/3/020
  50. Judy, J. W. (2001), "Microelectromechanical systems (MEMS): fabrication, design and applications", Smart Mater. Struct., 10(6), 1115-1134. https://doi.org/10.1088/0964-1726/10/6/301
  51. Kessler, S. S. and Spearing, S. M. (2002), "In-situ sensor-based damage detection of composite materials for structural health monitoring", Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 4, 2706-2716.
  52. Koh, B. H., Li, Z., Dharap, P., Nagarajaiah, S. and Phan, M. Q. (2005a), "Actuator failure detection through interaction matrix formulation", J. Guidance, Control, and Dynamics, 28(5), 895-901. https://doi.org/10.2514/1.11932
  53. Koh, B. H., Dharap, P., Nagarajaiah, S. and Phan, M. Q. (2005b), "Real-time structural Damage monitoring by input error eunction", J. American Inst. Aeronautics and Astronautics, 43(8), 1808-1814. https://doi.org/10.2514/1.14008
  54. Lapin, L. L. (1990), Probability and Statistics for Modern Engineering, PWS-Kent, Boston
  55. Kovacs, G. T. A. (1998), Micromachined Transducers Sourcebook, McGraw-Hill.
  56. Li, H., Xiao, H. and Ou, J. (2004), "A study on mechanical and pressure-sensitive properties of cement mortar with nanophase materials", Cement Concrete Res., 34(3), 435-438. https://doi.org/10.1016/j.cemconres.2003.08.025
  57. Li, H., Xiao, H. and Ou, J. (2006), "Effect of compressive strain on electrical resistivity of carbon black-filled cement-based composites", Cement Concrete Comp., 28, 824-828. https://doi.org/10.1016/j.cemconcomp.2006.05.004
  58. Li, S. L. and Li, H. (2006), "Model updating for uncertain structures with interval parameters", The Proceeding of First Pacific-Asian Workshop on Structural Health Monitoring.
  59. Lin, X. and Yuan, F. G. (2001), "Diagnostic lamb waves in an integrated piezoelectric sensor/actuator plate: analytical and experimental studies", Smart Mater. Struct., 10, 907-913. https://doi.org/10.1088/0964-1726/10/5/307
  60. Liu, S. C. and Yao, J. T. P. (1978), "Structural identification concept", J. Struct. Div., 104(ST12), 1845-858.
  61. Loh, K. J., Lynch, J. P. and Kotov, N. (2006), "Nanoengineered inductively coupled carbon nanotubes wireless strain sensors", Proceedings of the 4th World Conference on Structural Control and Monitoring, (4WCSCM), San Diego, CA, 2006.
  62. Loh, C. H. and Huang, C. C. (1999), "Damage identification of multi-story steel frames using neural networks", Structural Health Monitoring 2000, Stanford University, Palo Alto, California, 390-399.
  63. Lynch, J. P. (2004), "Design of a wireless active sensing unit for localized structural health monitoring", J. Struct. Control Health Monitoring, 12(3-4), 405-423.
  64. Lynch, J. P. (2005), "Damage characterization of the IASC-ASCE structural health monitoring benchmark structure by transfer function pole migration", Proceedings of the 2005 ASCE Structures Congress, New York, NY.
  65. Lynch, J. P. and Hou, T.-C. (2005), "Conductivity-based strain and damage monitoring of cementitiousstructural components", SPIE 12th Annual International Symposium on Smart Structures and Materials, San Diego, CA, March 6-10, 2005.
  66. Lynch, J. P. and Loh, K. J. (2006), "A summary review of wireless sensors and sensor networks for structural health monitoring", Shock Vib., 38(2), 91-128. https://doi.org/10.1177/0583102406061499
  67. Masri, S. F., Smyth, A. W., Chassiakos, A. G., Caughey, T. K. and Hunter, N. F. (2000), "Application of neural networks for detection of changes in nonlinear systems", J. Eng. Mech., (6), 666-676.
  68. Masuda, A., Nakaoka, A., Sone, A. and Yamamoto, S. (1995), "Health monitoring system of structures based on orthonormal wavelet transform", Seismic Engrg., 312, 161-167.
  69. Menzies, T. and Hu, Y. (2003), "Data mining for very busy people", IEEE Computer Magazine, 36(11), 18-25.
  70. Moon, F. L. and Aktan, A. E. (2006), "Impacts of epistemic (bias) uncertainty on structural identificaiton of constructed (civil) systems", Shock Vib. Digest, 38, 399-420. https://doi.org/10.1177/0583102406068068
  71. Moslem, K. and Nafaspour, R. (2002), "Structural damage detection by genetic algorithms", AIAA J., 40(7), 1395-1401. https://doi.org/10.2514/2.1800
  72. Nakamura, M., Masri, S. F., Chassiakos, A. G. and Caughey, T. K. (1998), "A method for non-parametric damage detection through the use of neural networks", Earthq. Eng. Struct. Dyn., 27, 997-1,010. https://doi.org/10.1002/(SICI)1096-9845(199809)27:9<997::AID-EQE771>3.0.CO;2-7
  73. Masri, S. F., Smyth, A. W., Chassiakos, A. G., Caughey, T. K. and Hunter, N. F. (2000), "Application of neural networks for detection of changes in nonlinear systems", J. Eng. Mech., (6), 666-676.
  74. Ostachowicz, W., Krawczuk, M. and Cartmell, M. (2002), "The location of a concentrated mass on rectangular plates from measurements of natural vibrations", Comput. Struct, 80, 1419-1428. https://doi.org/10.1016/S0045-7949(02)00084-6
  75. Ou, J. P., Li, H. W., Xiao, Y. Q. M. and Li, Q. S. (2005), "Health dynamic measurement of tall building using wireless sensor network", SPIE Vol. 5765, 205-216.
  76. Oka, V. G., Hopwood, T. and Harik, I. E. (1989), "Fatigue analysis of steel bridges using a portable microcomputer based strain gage system", Comput. Struct., 31(2), 151-86. https://doi.org/10.1016/0045-7949(89)90223-X
  77. Park, S., Yun, C.-B., Roh, Y. and Inman, D. J., (2006), "Active sensing network system for crack detection on welded zone of steel truss member", Proceedings of SPIE, 6174.
  78. Park, G., Cundy, A. L., Sohn, H. and Farrar, C. R. (2005), "An outlier analysis framework for impedance-based structural health monitoring", J. Sound Vib., 286(1), 229-250. https://doi.org/10.1016/j.jsv.2004.10.013
  79. Park, H. W. and Sohn, H. (2006), "Parameter estimation of the generalized extreme value distribution for structural health monitoring", J. Probabilistic Eng. Mech., 21(4), 366-376. https://doi.org/10.1016/j.probengmech.2005.11.009
  80. Park, Z. T., Choi, Y. S., Kima, J. G. and Chung, L. (2005), "Development of a galvanic sensor system for detecting the corrosion damage of the steel embedded in concrete structure: Part 2, laboratory electrochemical testing of sensors in concrete", Cement Concrete Res, 35(6), 1814-1819. https://doi.org/10.1016/j.cemconres.2003.11.027
  81. Pickard, W. F., Knoblauch, M., Peters, W. S. and Shen, A. (2006), "Prospective energy densities in the forisome, a new smart material", Materials Science and Engineering, 26(1), 104-112. https://doi.org/10.1016/j.msec.2005.06.055
  82. Pierce, J. R. (1980), An Introduction to Information Theory, Dover, New York.
  83. Pister, K. (2006), Personal communication.
  84. Popovics, J. S. and Rose, J. L. (1994), "A survey of developments in ultrasonic NDE of concrete", IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 41, 140-143. https://doi.org/10.1109/58.265832
  85. Poulin, G., Sarraute, E. and Costa, F. (2004), "Generation of electrical energy for portable devices comparative study of an electromagnetic and a piezoelectric system", Sensors and Actuators A, 116, 461-471. https://doi.org/10.1016/j.sna.2004.05.013
  86. Rizzoni, G. and Min P. S. (1991), "Detection of sensor failures in automotive engines", IEEE Trans, Vehicular Tech., 40(2), 487-500. https://doi.org/10.1109/25.289431
  87. Roundy, S. and Wright, P. K. (2004), "A piezoelectric vibration based generator for wireless electronics", Smart Mater. Struct., 13, 1131-1142. https://doi.org/10.1088/0964-1726/13/5/018
  88. Ruotolo, R. and Surace, C. (1997), "Damage assessment of multi-cracked beams using combinatorial optimisation", Structural Damage Assessment Using Advanced Signal Processing Procedures, Proceedings of DAMAS '97, University of Sheffield, UK, 77-86.
  89. Rytter, A. and Kirkegaard, P. (1997), "Vibration based inspection using neural networks", Structural Damage Assessment Using Advanced Signal Processing Procedures, Proceedings of DAMAS '97, University of Sheffield, UK, 97-108.
  90. Senturia, S. (2001), Microsystem Design. Kluwer Academic Publishers, Boston.
  91. Schultz, M. (2006), Nanoengineering of Structural, Functional, and Smart Materials, CRC Press, 169-198.
  92. Simmers, G. E., Sodano, H. A., Park, G. and Inman, D. J. (2006), "Detection of corrosion using piezoelectric impedance-based structural health monitoring", AIAA J., 44(11), 2800-2803 https://doi.org/10.2514/1.24273
  93. Simoff, S. J. and Maher M. L. (1998), "Ontology-based multimedia data mining for design information retrieval", Proceedings of ACSE Computing Congress, 212-223, http://wwwpeople.arch.usyd.edu.au/-mary/Pubs/pdf/asce98.pdf.
  94. Smart Materials (2006), http://www.smart-material.com/.
  95. Sodano, H. A., Inman, D. J. and Park, G. (2004), "A review of power harvesting from vibration using piezoelectric materials", Shock Vib. Digest, 36(3), 197-205. https://doi.org/10.1177/0583102404043275
  96. Sohn, H. and Law, K. L. (1997), "A Bayesian probabilistic approach for structure damage detection", Earthq. Eng. Struct. Dyn., 26(12), 1259-1281. https://doi.org/10.1002/(SICI)1096-9845(199712)26:12<1259::AID-EQE709>3.0.CO;2-3
  97. Sohn, H., Czarnecki, J. J. and Farrar, C. R. (2000), "Structural health monitoring using statistical process control", J. Struct. Eng., 126(11), 1356-1363. https://doi.org/10.1061/(ASCE)0733-9445(2000)126:11(1356)
  98. Sohn, H., Farrar, C. R., Hunter, N. S. and Worden, K. (2001), "Structural health monitoring using statistical pattern recognition techniques", ASME Journal of Dynamic Systems, Measurement and Control, 123(4), 706-711. https://doi.org/10.1115/1.1410933
  99. Sone, A., Yamamoto, S., Masuda, A., Nakaoka, A. and Ashino, R. (1995), "Estimation of cumulative damage of a building with hysteretic restoring force by using wavelet analysis of strong motion records", Japan Struct. Consr. Eng., 476, 67-74.
  100. Song, G., Gu, H., Mo, Y. L., Hsu, T. T. C., Dhonde, H. and Zhu, R. H. (2004), "Health monitoring of a reinforced concrete bridge bent-cap using piezoceramic materials", Proceedings of the Third European Conference on Structural Control (3ECSC) (Vienna, Austria), July.
  101. Song, G., Gu, H., Mo, Y. L., Hsu, T. T. C., Dhonde, H. and Zhu, R. H. (2005), "Health monitoring of a concrete structure using piezoceramic materials", Proceedings of 2005 SPIE International Symposium on Smart Structures and Materials, 5765, 5765-5713.
  102. Song, G., Olmi, C. and Gu, H. (2005), "An overheight collision detection and evaluation system for bridge girder using piezoelectric transducer", Proceedings of 2nd International Conference on Structural Health Monitoring of Intelligent Infrastructure (Shenzhen, China).
  103. Staszewski, W. J., Lee, B. C., Mallet, L. and Scarpa, F. (2004), "Structure health monitoring using scanning laser vibrometry: I. Lamb wave sensing", Smart Mater. Struct., 13(2), 251-260. https://doi.org/10.1088/0964-1726/13/2/002
  104. De Stefano, A., Sabia, D. and Sabia, L. (1997), "Structural identification using ARMAV models from noisy dynamic response under unknown random excitation", Structural Damage Assessment Using Advanced Signal Processing Procedures, Proceedings of DAMAS '97, University of Sheffield, UK, 419-428.
  105. Storey, C. and Delatte, N. (2003), "Lessons from the collapse of the schoharie creek bridge", Proceedings of the Third Congress Forensic Engineering, San Diego, CA, 158-167.
  106. Sun, Z. and Chang, C. C. (2004), "Statistical wavelet-based method for structural health monitoring", J. Struct. Eng., 130(7), 1055-1062. https://doi.org/10.1061/(ASCE)0733-9445(2004)130:7(1055)
  107. Talesnick, M. (2006), "Determination of shear interface parameters between rock blocks for centrifuge modeling", Rock Mech. Rock Eng., (in press).
  108. de Vries, M., Nasta, M., Bhatia, V., Tran, T., Greene, J., Claus, R. O.and Masri, S. (1995), "Performance of embedded short-gage-length optical fiber sensors in a fatigue-loaded reinforced concrete specimen", Smart Mater. Struct., 4(1A), A107-A113. https://doi.org/10.1088/0964-1726/4/1A/013
  109. Worden, K. and Lane, A. J. (2001), "Damage identification using support vector machines", Smart Mater. Struct., 10, 540-547. https://doi.org/10.1088/0964-1726/10/3/317
  110. Wu, F. and Chang, F. K. (2001), "A built-in active sensing diagnostic system for civil infrastructure systems", Proceedings of SPIE, 4330, 27-35.
  111. Yan, A. M., Kerschen, G., Boe, P. and Golinval, J. C. (2005), "Structural damage diagnosis under varying environmental conditions - Part I: a linear analysis", Mechanical Systems and Signal Processing, 19, 847-864. https://doi.org/10.1016/j.ymssp.2004.12.002
  112. Yanev, B. (2003), "Structural health monitoring as a bridge management tool", Structural Health Monitoring and Intelligent Infrastructure, Wu ZS, Abe M, editors, Balkema, 87-95.
  113. Yang, J. N., Lei, Y., Pan, S. and Huang, N. (2003a), "Identification of linear structures based on Hilbert-Huang transform. Part 1: Normal modes", Earthq. Eng. Struct. Dyn., 32(9), 1443-1467. https://doi.org/10.1002/eqe.287
  114. Yang, J. N., Lei, Y., Pan, S. and Huang, N. (2003b), "Identification of linear structures based on Hilbert-Huang transform. Part 2: Complex modes", Earthq. Eng. Struct. Dyn., 32(10), 1533-1554. https://doi.org/10.1002/eqe.288
  115. Yang, J. N., Lei, Y., Lin, S. and Huang, N. (2004), "Hilbert-Huang based approach for structural damage detection", J. Eng. Mech., 130(1), 85-95. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:1(85)
  116. Yunovich, M. and Thompson, N. G. (2003), "Corrosion of highway bridges: economic impact and control methodologies", Concrete Inter., 25(1), 52-57.
  117. Zhang, Y. (2006), "In-situ fatigue crack detection using piezoelectric paint sensor", J. Intelligent Material Sys. Struct., 17(10), 843-852. https://doi.org/10.1177/1045389X06059957

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  9. Multiagent-Based Collaborative Framework for a Self-Managing Structural Health Monitoring System vol.26, pp.1, 2012, https://doi.org/10.1061/(ASCE)CP.1943-5487.0000107
  10. Embedded Algorithms Within an FPGA to Classify Nonlinear Single-Degree-of-Freedom Systems vol.9, pp.11, 2009, https://doi.org/10.1109/JSEN.2009.2019322
  11. Online damage detection via a synergy of proper orthogonal decomposition and recursive Bayesian filters vol.89, pp.2, 2017, https://doi.org/10.1007/s11071-017-3530-1
  12. Data Mining of the Thermal Performance of Cool-Pipes in Massive Concrete via In Situ Monitoring vol.2014, 2014, https://doi.org/10.1155/2014/985659
  13. Development of Wireless MEMS Inclination Sensor System for Swing Monitoring of Large-Scale Hook Structures vol.56, pp.4, 2009, https://doi.org/10.1109/TIE.2009.2012469
  14. An improved substructural identification strategy for large structural systems vol.19, pp.8, 2012, https://doi.org/10.1002/stc.463
  15. Long term health monitoring of post-tensioning box girder bridges vol.4, pp.6, 2008, https://doi.org/10.12989/sss.2008.4.6.711
  16. Design of a real-time overload monitoring system for bridges and roads based on structural response vol.46, pp.1, 2013, https://doi.org/10.1016/j.measurement.2012.07.006
  17. Bridge life-cycle performance and cost: analysis, prediction, optimisation and decision-making vol.13, pp.10, 2017, https://doi.org/10.1080/15732479.2016.1267772
  18. A decentralized procedure for structural health monitoring of uncertain nonlinear systems provided with dense active sensor arrays vol.17, pp.4, 2008, https://doi.org/10.1088/0964-1726/17/4/045024
  19. A mobile sensing system for structural health monitoring: design and validation vol.19, pp.5, 2010, https://doi.org/10.1088/0964-1726/19/5/055011
  20. Structural Health Monitoring Framework Based on Internet of Things: A Survey vol.4, pp.3, 2017, https://doi.org/10.1109/JIOT.2017.2664072
  21. Survey on robotics and automation technologies for civil infrastructure vol.13, pp.6, 2014, https://doi.org/10.12989/sss.2014.13.6.891
  22. Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges1 vol.7, pp.6, 2011, https://doi.org/10.1080/15732471003594427
  23. Structural Risk Assessment and Mitigation for Low- to Mid-Rise Residential Buildings in China vol.3, 2017, https://doi.org/10.3389/fbuil.2017.00037
  24. Support vector regression for anomaly detection from measurement histories vol.27, pp.4, 2013, https://doi.org/10.1016/j.aei.2013.03.002
  25. Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey vol.19, pp.3, 2017, https://doi.org/10.1109/COMST.2017.2691551
  26. Localized Structural Health Monitoring Using Energy-Efficient Wireless Sensor Networks vol.9, pp.11, 2009, https://doi.org/10.1109/JSEN.2009.2019318
  27. A novel Bayesian extreme value distribution model of vehicle loads incorporating de-correlated tail fitting: Theory and application to the Nanjing 3rd Yangtze River Bridge vol.59, 2014, https://doi.org/10.1016/j.engstruct.2013.10.029
  28. Data Communications Using Guided Elastic Waves by Time Reversal Pulse Position Modulation: Experimental Study vol.13, pp.12, 2013, https://doi.org/10.3390/s130708352
  29. Substructure based structural damage detection with limited input and output measurements vol.12, pp.6, 2013, https://doi.org/10.12989/sss.2013.12.6.619
  30. Wireless sensor networks for structure health monitoring: recent advances and future research directions vol.31, pp.3, 2011, https://doi.org/10.1108/02602281111140038
  31. A Bioinspired Tilt Sensor Model with Adaptive Gain and Enhanced Sensitivity vol.2014, 2014, https://doi.org/10.1155/2014/957850
  32. Automated finite element updating using strain data for the lifetime reliability assessment of bridges vol.99, 2012, https://doi.org/10.1016/j.ress.2011.11.007
  33. Long period fiber grating sensors coated with nano iron/silica particles for corrosion monitoring vol.22, pp.7, 2013, https://doi.org/10.1088/0964-1726/22/7/075018
  34. Automatic Identification of Fundamental Frequency for Tied Arch Bridge Suspender Tension Monitoring vol.178-181, pp.1662-7482, 2012, https://doi.org/10.4028/www.scientific.net/AMM.178-181.2429
  35. Safety Guideline for Safe Concrete Placement Utilizing the Information on the Structural Behavior of Formwork vol.144, pp.12, 2018, https://doi.org/10.1061/(ASCE)CO.1943-7862.0001489
  36. Investigation of Snow Load Effects on Modal Parameters of a Steel Structure Roof vol.2018, pp.1875-9203, 2018, https://doi.org/10.1155/2018/7018325
  37. A Novel Nonlinear Acoustic Health Monitoring Approach for Detecting Loose Bolts vol.37, pp.2, 2018, https://doi.org/10.1007/s10921-018-0478-0
  38. Potential of Workshop Measurement Positioning System to Measure Oscillation Frequencies of Rigid Structures vol.9, pp.3, 2019, https://doi.org/10.3390/app9030595
  39. Wireless sensor networks for underground railway applications: case studies in Prague and London vol.6, pp.5, 2010, https://doi.org/10.12989/sss.2010.6.5_6.619
  40. Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures vol.6, pp.5, 2007, https://doi.org/10.12989/sss.2010.6.5_6.641
  41. Measured response of instrumented buildings during the 2013 Cook Strait earthquake sequence vol.48, pp.4, 2015, https://doi.org/10.5459/bnzsee.48.4.223-234
  42. Technical Specifications of Structural Health Monitoring for Highway Bridges: New Chinese Structural Health Monitoring Code vol.4, pp.None, 2007, https://doi.org/10.3389/fbuil.2018.00010
  43. Innovative research on the construction of China’s youth physical health promotion service system based on sensor technology1 vol.37, pp.5, 2007, https://doi.org/10.3233/jifs-179189
  44. Ultrasonic Guided-Waves Sensors and Integrated Structural Health Monitoring Systems for Impact Detection and Localization: A Review vol.21, pp.9, 2007, https://doi.org/10.3390/s21092929