Smart Structures and Systems

  • 제6권5_6호
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  • Pages.711-730
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  • 2010
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Autonomous smart sensor nodes for global and local damage detection of prestressed concrete bridges based on accelerations and impedance measurements

  • 투고 : 2009.10.14
  • 심사 : 2010.04.01
  • 발행 : 2010.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

This study presents the design of autonomous smart sensor nodes for damage monitoring of tendons and girders in prestressed concrete (PSC) bridges. To achieve the objective, the following approaches are implemented. Firstly, acceleration-based and impedance-based smart sensor nodes are designed for global and local structural health monitoring (SHM). Secondly, global and local SHM methods which are suitable for damage monitoring of tendons and girders in PSC bridges are selected to alarm damage occurrence, to locate damage and to estimate severity of damage. Thirdly, an autonomous SHM scheme is designed for PSC bridges by implementing the selected SHM methods. Operation logics of the SHM methods are programmed based on the concept of the decentralized sensor network. Finally, the performance of the proposed system is experimentally evaluated for a lab-scaled PSC girder model for which a set of damage scenarios are experimentally monitored by the developed smart sensor nodes.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea

참고문헌

  1. Adams, R.D., Cawley, P., Pye, C.J. and Stone, B.J. (1978), "A vibration technique for non-destructively assessing the integrity of structures", J. Mech. Eng. Sci., 20(2), 93-100. https://doi.org/10.1243/JMES_JOUR_1978_020_016_02
  2. Analog Devices Inc. (2009), Datasheet of AD5933, Available at http://www.analog.com.
  3. Bhalla, S. and Soh, C.K. (2003), "Structural impedance based damage diagnosis by piezo-transducers", Earthq. Eng. Struct. D., 32(12), 1897-1916. https://doi.org/10.1002/eqe.307
  4. Cho, S, Yun, C.B., Lynch, J.P., Zimmerman, A.T., Spencer, B.F. and Nagayama, T. (2008), "Smart wireless sensor technology for structural health monitoring of civil structures", Int. J. Steel Struct., 8(4), 267-276.
  5. Jeyasehar, C.A. and Sumangala, K. (2006), "Damage assessment of prestressed concrete beams using Artificial Neural Network (ANN) approach", Comput. Struct., 84, 1709-1718. https://doi.org/10.1016/j.compstruc.2006.03.005
  6. Kim, J.T., Na, W.B., Hong, D.S. and Park, J.H. (2006), "Global and local health monitoring of plate-girder bridges under uncertain temperature conditions", Int. J.Steel Struct., 6, 369-376.
  7. Kim, J.T., Park, J.H., Hong, D.S., Cho, H.M., Na, W.B. and Yi, J.H. (2009), "Vibration and impedance monitoring for prestress-loss prediction in PSC girder bridges", Smart Struct. Syst., 5(1), 81-94. https://doi.org/10.12989/sss.2009.5.1.081
  8. Kim, J.T., Park, J.H., Hong, D.S. and Park, W.S. (2010), "Hybrid health monitoring of prestressed concrete girder bridges by sequential vibration-impedance approaches", Eng. Struct., 32, 115-128. https://doi.org/10.1016/j.engstruct.2009.08.021
  9. Kim, J.T., Ryu, Y.S., Cho, H.M. and Stubbs, N. (2003a), "Damage identification in bean-type structures: frequencybased method vs mode-shape-based method", Eng. Struct., 25, 57-67. https://doi.org/10.1016/S0141-0296(02)00118-9
  10. Kim, J.T., Yun, C.B., Ryu, Y.S. and Cho, H.M. (2004), "Identification of prestress-loss in PSC beams using modal information", Struct. Eng. Mech., 17(3-4), 467-482. https://doi.org/10.12989/sem.2004.17.3_4.467
  11. Kim, J.T. (2001), "Crack detection scheme for steel plate-girder bridges via vibration-based system identification", KSCE J. Civil Eng., 5(1), 1-10.
  12. Kim, J.T., Lee, Y.K., Kim, J.H. and Baek, J.H. (2002), "GUI software system for damage identification in plategirder bridges", KSCE J. Civil Eng., 6(2), 107-118.
  13. Kim, J.T., Yun, C.B. and Yi, J.H. (2003b), "Temperature effects on frequency-based damage detection in plategirder bridges", KSCE J. Civil Eng., 7(6), 725-733. https://doi.org/10.1007/BF02829141
  14. Krishnamurthy, V., Fowler, K. and Sazonov, E. (2008), "The effect of time synchronization of wireless sensors on the modal analysis of structures", Smart Mater. Struct., 17, 1-13.
  15. Liang, C., Sun, F.P. and Rogers, C.A. (1994), "Coupled electromechanical analysis of adaptive material systemsdetermination of the actuator power consumption and system energy transfer", J. Intel. Mat. Syst. Str., 5(1), 12-20. https://doi.org/10.1177/1045389X9400500102
  16. Lu, K.C., Loh, C.H., Yang, Y.S., Lynch, J.P. and Law, K.H. (2008), "Real-time structural damage detection using wireless sensing and monitoring system", Smart Struct. Syst., 4(6), 759-777. https://doi.org/10.12989/sss.2008.4.6.759
  17. Lynch, J.P., Sundararajan, A., Law, K.H., Kiremidjian, A.S., Kenny, T. and Carryer, E. (2003), "Embedment of structural monitoring algorithms in a wireless sensing unit", Struct. Eng. Mech., 15(3), 385-297.
  18. Lynch J.P., Wang, W., Loh, K.J., Yi, J.H. and Yun, C.B. (2006), "Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors", Smart Mater. Struct., 15, 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
  19. Miyamoto, A., Tei, K., Nakamura, H. and Bull, J.W. (2000), "Behavior of prestressed beam strengthened with external tendons", J.Struct. Eng., 126, 1033-1044. https://doi.org/10.1061/(ASCE)0733-9445(2000)126:9(1033)
  20. Mascarenas, D.L., Todd, M.D., Park, G. and Farrar, C.R. (2007), "Development of an impedance-based wireless sensor node for structural health monitoring", Smart Mater. Struct., 16, 2137-2145. https://doi.org/10.1088/0964-1726/16/6/016
  21. Nagayama, T. (2007), Structural health monitoring using smart sensors, Ph.D Dissertation, University of Illinois at Urbana-Champaign, UC, USA.
  22. Nagayama, T., Sim, S.H., Miyamori, Y. and Spencer, B.F. (2007), "Issues in structural health monitoring employing smart sensors", Smart Struct. Syst., 3(3), 299-320. https://doi.org/10.12989/sss.2007.3.3.299
  23. Park, G., Cudney, H. and Inman, D.J. (2000), "Impedance-based health monitoring of civil structural components", J. Infrastruct. Syst.-ASCE, 6(4), 153-160. https://doi.org/10.1061/(ASCE)1076-0342(2000)6:4(153)
  24. Park, S., Ahmad, S., Yun, C.B. and Roh, Y. (2006), "Multiple crack detection of concrete structures using impedance-based structural health monitoring techniques", Exp. Mech., 46(5), 609-618. https://doi.org/10.1007/s11340-006-8734-0
  25. Rice, J.A. and Spencer, B.F. (2008), "Structural health monitoring sensor development for the Imote2 platform", Proc. of SPIE, 6932.
  26. Ruiz-Sandoval, M., Nagayama, T. and Spencer, B.F. (2006) "Sensor development using Berkeley mote platform", J. Earthq. Eng., 10(2), 289-309. https://doi.org/10.1080/13632460609350597
  27. Saiidi, M., Douglas, B. and Feng, S. (1994), "Prestress force effect on vibration frequency of concrete bridges," J. Struct. Eng., 120, 2233-2241. https://doi.org/10.1061/(ASCE)0733-9445(1994)120:7(2233)
  28. Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W. and Nadler, B.R. (2003), A Review of Structural Health Monitoring Literature: 1996-2001, Los Alamos National Laboratory Report, LA-13976-MS, Los Alamos, NM
  29. Spencer, B.F., Ruiz-Sandoval, M.E. and Kurata, N. (2004), "Smart Sensing Technology: Opportunities and Challenges", Struct. Control Health Monit., 11, 349-368 https://doi.org/10.1002/stc.48
  30. Straser, E.G. and Kiremidjian, A.S. (1998) A Modular, Wireless Damage Monitoring System for Structure, Technical Report 128, John A. Blume Earthquake Engineering Center, Stanford University, Stanford, CA.
  31. Stubbs, N. and Osegueda, R. (1990), "Global non-destructive damage evaluation in solids", Int. J. Anal. Exp. Modal Anal., 5(2), 67-79.
  32. Sun, F.P., Chaudhry, Z., Rogers, C.A. and Majmundar, M. (1995), "Automated real-time structure health monitoring via signature pattern recognition", Proceedings of the SPIE North American Conference on Smart Structures and Materials, San Diego, CA.
  33. Yi, J.H. and Yun, C.B. (2004), "Comparative study on modal identification methods using output-only information", Struct. Eng. Mech., 17(3-4), 445-446. https://doi.org/10.12989/sem.2004.17.3_4.445
  34. Yun, C.B. and Bahng, E.Y. (2000) "Substructural identification using neural networks", Comput. Struct., 77(1), 41-52. https://doi.org/10.1016/S0045-7949(99)00199-6
  35. Wang, Y., Swartz, R.A., Lynch, J.P. and Law K.H. (2007), "Decentralized civil structural control using real-time wireless sensing and embedded computing", Smart Struct. Syst., 3(3), 321-340. https://doi.org/10.12989/sss.2007.3.3.321
  36. Zimmerman, A.T., Shiraishi, M., Swartz, R.A. and Lynch, J.P. (2008), "Automated modal parameter estimation by parallel processing within wireless monitoring systems", J. Infrastruct. Syst.- ASCE, 14(1), 102-113. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(102)

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