Structural Engineering and Mechanics

  • 제32권6호
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  • Pages.787-809
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  • 2009
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Experimental deployment and validation of a distributed SHM system using wireless sensor networks

  • Castaneda, Nestor E. (Department of Mechanical, Aerospace and Structural Engineering, Washington University in St. Louis) ;
  • Dyke, Shirley (Department of Mechanical, Aerospace and Structural Engineering, Washington University in St. Louis) ;
  • Lu, Chenyang (Department of Computer Science and Engineering, Washington University in St. Louis) ;
  • Sun, Fei (Department of Computer Science and Engineering, Washington University in St. Louis) ;
  • Hackmann, Greg (Department of Computer Science and Engineering, Washington University in St. Louis)
  • 투고 : 2008.08.28
  • 심사 : 2009.06.29
  • 발행 : 2009.08.20
⟨ 이전 논문 다음 논문 ⟩

초록

Recent interest in the use of wireless sensor networks for structural health monitoring (SHM) is mainly due to their low implementation costs and potential to measure the responses of a structure at unprecedented spatial resolution. Approaches capable of detecting damage using distributed processing must be developed in parallel with this technology to significantly reduce the power consumption and communication bandwidth requirements of the sensor platforms. In this investigation, a damage detection system based on a distributed processing approach is proposed and experimentally validated using a wireless sensor network deployed on two laboratory structures. In this distributed approach, on-board processing capabilities of the wireless sensor are exploited to significantly reduce the communication load and power consumption. The Damage Location Assurance Criterion (DLAC) is used for localizing damage. Processing of the raw data is conducted at the sensor level, and a reduced data set is transmitted to the base station for decision-making. The results indicate that this distributed implementation can be used to successfully detect and localize regions of damage in a structure. To further support the experimental results obtained, the capabilities of the proposed system were tested through a series of numerical simulations with an expanded set of damage scenarios.

키워드

참고문헌

  1. Adler, R., Flanigan, M., Huang, J., Kling, R., Kushalnagar, N., Nachman, L., Wan, C.Y. and Yarvis, M. (2005), "Intel mote 2: An advanced platform for demanding sensor network applications", Proc. 3th Int. Conference on Embedded Networked Sensor Systems, 298-298
  2. Bernal, D. (2002), "Load vectors for damage localization", J. Eng. Mech., 128(1), 7-14 https://doi.org/10.1061/(ASCE)0733-9399(2002)128:1(7)
  3. Chintalapudi, K., Paek, J., Gnawali, O., Fu, T., Dantu, K., Caffrey, J., Govindan, R. and Jonson, E. (2006), "Structural damage detection and localization using NetSHM", Proceedings of IPSN'06, April 19-21, Nashville, Tennessee https://doi.org/10.1109/IPSN.2006.243936
  4. Clayton, E.H. (2002), "Development of an experimental model for the study of infrastructure preservation", Proceedings of the National Conference on Undergraduate Research, Whitewater, Wisconsin
  5. Clayton, E.H., Koh, B.H., Xing, G., Fok, C.L., Dyke, S.J. and Lu, C. (2005), "Damage detection and correlationbased localization using wireless mote sensors", Proceedings of '05 The 13th Mediterranean Conference on Control and Automation, Limassol, Cyprus https://doi.org/10.1109/.2005.1467032
  6. Clayton, E.H., Qian, Y., Orjih, O., Dyke, S.J., Mita, A. and Lu, C. (2006), "Of-the-shelf modal analysis: Structural health monitoring with motes", In Proceedings of the 24th International Modal Analysis Conference
  7. Clayton, E.H. (2006), Frequency Correlation-based Structural Health Monitoring with Smart Wireless Sensors, Master of Science Thesis, Washington University in St. Louis
  8. Contursi, T., Messina, A. and Williams, E.J. (1998), "A multiple-damage location assurance criterion based on natural frequency changes", J. Vib. Control, 4, 619-633 https://doi.org/10.1177/107754639800400505
  9. Crosbow Technologies iMote2 Mote IPR2400 (2007), http://www.xbow.com/Products/productdetails.aspx?sid=253
  10. Elson, J., Girod, L. and Estrin, D. (2002), "Fine-grained network time synchronization using reference broadcast", Proc., 5th Symposium on Operating Systems Design and Implementation, Bostos, MA https://doi.org/10.1145/844128.844143
  11. Ferzli, N.A., Sandburg, C.J., King, T., Pei, J.S., Zaman, M.M., Refai, H.H., Ivey, R.A. and Harris, O. (2006), "Experimental investigation of 'smart dust' for pavement condition monitoring", Proceedings of the 24rd International Modal Analysis Conference (IMAC XXIV), St. Louis, MO, January 30 - February 2
  12. Ganeriwal, S., Kumar, R. and Srivastava, M.B. (2003), "Timing-sync protocol for sensor networks", Proc., 1st International Conference on Embedded Networked Sensor Systems, Los Angeles, CA, 138-149 https://doi.org/10.1145/958491.958508
  13. Gangone, M.V., Whelan, M.J., Janoyan, K.D., Cross, K. and Jha, R. (2007), "Performance monitoring of a bridge superstructure using a dense wireless sensor network", Proceedings of the 6th International Workshop on Structural Health Monitoring, Stanford, California
  14. Gao, Y. (2005), "Structural health monitoring strategies for smart sensor networks”, Doctor of Philosophy Thesis, The University of Illinois at Urbana-Champaign
  15. Hackmann, G., Sun, F., Castaneda, N., Lu, C. and Dyke, S. (2008), "A holistic approach to decentralized structural damage localization using wireless sensor networks", Proceedings of the Real-time Systems Symposium, 2008
  16. Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identification and model reduction", J. Guid. Control Dyn., 8, 620-627 https://doi.org/10.2514/3.20031
  17. Kim, S. (2005), "Wireless sensor networks for structural health monitoring", Master's thesis, University of California at Berkeley
  18. Kim, S. (2007), "Wireless sensor networks for high fidelity sampling", Ph.D. Dissertation, University of California at Berkeley
  19. Kim, S., Pakzad, S., Culler, D., Demmel, J., Fenves, G., Glaser, S. and Turon, M. (2007), "Health monitoring of civil infrastructures using wireless sensor networks", In the Proceedings of the 6th International Conference on Information Processing in Sensor Networks (IPSN '07), Cambridge, MA, April 2007, ACM Press, 254-263
  20. Koh, B.H. and Dyke, S.J. (2007), "Structural damage detection in cable-stayed bridges using correlation and sensitivity of modal data", Comput. Struct., 85, 117-130 https://doi.org/10.1016/j.compstruc.2006.09.005
  21. Levy, E.C. (1959), "Complex-curve fitting", IEEE T. Automat. Contr., 4, 37-44 https://doi.org/10.1109/TAC.1959.1104874
  22. Liu, S.C. and Tomizuka, M. (2003), "Vision and strategy for sensors and smart structures technology research", In Proceedings of the 4th International Workshop on Structural Health Monitoring, Standford, CA, September 15-17, 42-52
  23. Lynch, J.P., Kiremidjian, A.S., Law, K.H., Kenny, T. and Carryer, E. (2002), “Issues in wireless structural damage monitoring technologies", The Proceedings of the Third World Conference on Structural Control, 2, 667-672
  24. Lynch, J.P., Sundararajan, A., Law, K.H., Kiremidjian, A.S. and Ed Carryer. (2004), "Embedding damage detection algorithms in a wireless sensing unit for operational power efficiency", Smart Mater. Struct., 13, 800-810 https://doi.org/10.1088/0964-1726/13/4/018
  25. Lynch, J.P. (2004), "Overview of wireless sensors for real time health monitoring of civil structures", In Proceedings of the 4th International Workshop on Structural Control, June 2004, 189-194
  26. Lynch, J.P., Wang, Y., Law, K.H., Yi, J.-H., Lee, C.G. and Yun, C.B. (2005), "Validation of a large-scale wireless structural monitoring system on the Geumdang bridge", Proc., the Int. Conference on Safety and Structural Reliability, Rome, Italy
  27. Lynch, J.P. and Loh, K. (2006), "A summary review of wireless sensors and sensor networks for structural health monitoring", Shock and Vibration Digest, in press
  28. Maroti, M., Kusy, B., Simon, G. and Ledeczi, A. (2004), "The flooding time syscronization protocol", Proc., 2nd International Conference On Embedded Networked Sensor Systems, Baltimore, MD, 39-49
  29. Mechitov, K.A., Kim, W., Agha, G.A. and Nagayama, T. (2004), "High-frequency distributed sensing for structure monitoring", Proc., 1st Int. Workshop on Networked Sensing Systems, Tokyo, Japan, 101-105
  30. Messina, A., Jones, I.A. and Williams, E.J. (1996), "Damage detection and localization using natural frequencies changes", Proceedings of Conference on Identification in Engineering Systems, Swansea, U.K., 67-76
  31. Messina, A., Williams, E.J. and Contursi, T. (1998), "Structural damage detection by a sensitivity and statisticalbased method", J. Sound Vib., 216(5), 791-808 https://doi.org/10.1006/jsvi.1998.1728
  32. Nagayama, T., Rice, J.A. and Spencer, B.F. Jr. (2006), "Efficacy of Intel's Imote2 wireless sensor platform for structural health monitoring applications", Proceedings of Asia-Pacific Workshop on Structural Health Monitoring, Yokohama, Japan
  33. Nagayama, T. (2007), "Structural health monitoring using smart sensors", Doctor of Philosophy Thesis, The University of Illinois at Urbana-Champaign
  34. Pakzad, S.N., Kim, S., Fenves, G.L., Glaser, S.D., Culler, D.E. and Demmel, J.W. (2005), "Multi-purpose wireless accelerometers for civil infrastructure monitoring", Proceedings of the 5th International Workshop on Structural Health Monitoring (IWSHM 2005), Stanford, CA
  35. Pei, J.S., Ivey, R.A., Lin, H., Landrum, A.R., Sandburg, C.J., Ferzli, N.A., King, T., Zaman, M.M. and Refai, H.H., "Development and validation of "smart dust" for pavement condition monitoring", Journal of Intelligent Material Systems and Structures, (submitted in December 2006, JIMSS-06-101)
  36. Rice, J.A., Mechitov, K.A., Spencer, Jr., B.F. and Agha G.A. (2008), "A service-oriented architecture for structural health monitoring using smart sensors", Proceedings of the 14th World Conference on Earthquake Engineering, Beijing, China
  37. Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W. and Nadler, B.R. (2004), "A review of structural health monitoring literature from 1996-2001", Los Alamos National Laboratory report LA-13976-MS
  38. Spencer, Jr., B.F. (2003), "Opportunities and challenges for smart sensing technology", First International Conference on Structural Health Monitoring and Intelligent Infrastructure, Tokyo, 13-15 November 2003
  39. Spencer, Jr., B.F. and Nagayama, T. (2006), "Smart sensor technology: a new paradigm for structural health monitoring", Proc., Asia-Pacific Workshop on Structural health Monitoring, Yokohama, Japan
  40. STMicroelectronics. (2005), LIS3L02DQ data Sheet http://www.st.com/stonline/products/literature/od/10175/lis3l02dq.pdf
  41. The Illinois SHM Services Toolkit (2008), http://shm.cs.uiuc.edu/software.html
  42. The MathWorks (2007), http://www.mathworks.com/
  43. TinyOS: http://www.tinyos.net/
  44. Zimmerman, A., Shiraishi, M., Swartz, A. and Lynch, J.P. (2008), "Automated modal parameter estimation by parallel processing within wireless monitoring systems", J. Infrast. Syst., ASCE, 2008 https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(102)

피인용 문헌

  1. Experimental validation of a multi-level damage localization technique with distributed computation vol.6, pp.5, 2009, https://doi.org/10.12989/sss.2010.6.5_6.561
  2. Recovering missing data transmitted from a wireless sensor node for vibration-based bridge health monitoring vol.38, pp.4, 2009, https://doi.org/10.12989/sem.2011.38.4.417