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Initial development of wireless acoustic emission sensor Motes for civil infrastructure state monitoring

  • Grosse, Christian U. (Department of Non-destructive Testing, cbm, Technische Universitat Munchen) ;
  • Glaser, Steven D. (Department of Civil and Environmental Engineering, University of California) ;
  • Kruger, Markus (Department of Non-Destructive Testing and Monitoring Techniques, Materialprufungsanstalt Universitat Stuttgart)
  • 투고 : 2008.07.15
  • 심사 : 2009.07.01
  • 발행 : 2010.04.25

초록

The structural state of a bridge is currently examined by visual inspection or by wired sensor techniques, which are relatively expensive, vulnerable to inclement conditions, and time consuming to undertake. In contrast, wireless sensor networks are easy to deploy and flexible in application so that the network can adjust to the individual structure. Different sensing techniques have been used with such networks, but the acoustic emission technique has rarely been utilized. With the use of acoustic emission (AE) techniques it is possible to detect internal structural damage, from cracks propagating during the routine use of a structure, e.g. breakage of prestressing wires. To date, AE data analysis techniques are not appropriate for the requirements of a wireless network due to the very exact time synchronization needed between multiple sensors, and power consumption issues. To unleash the power of the acoustic emission technique on large, extended structures, recording and local analysis techniques need better algorithms to handle and reduce the immense amount of data generated. Preliminary results from utilizing a new concept called Acoustic Emission Array Processing to locally reduce data to information are presented. Results show that the azimuthal location of a seismic source can be successfully identified, using an array of six to eight poor-quality AE sensors arranged in a circular array approximately 200 mm in diameter. AE beamforming only requires very fine time synchronization of the sensors within a single array, relative timing between sensors of $1{\mu}s$ can easily be performed by a single Mote servicing the array. The method concentrates the essence of six to eight extended waveforms into a single value to be sent through the wireless network, resulting in power savings by avoiding extended radio transmission.

키워드

참고문헌

  1. Azar, L. and Wooh, S. (1999), "Experimental characterization of ultrasonic phased arrays for nondestructive evaluation of concrete structures", Mater. Eval., 57(2), 134-140.
  2. Cano, C., Bellalta, B., Villalonga, P. and Perello, J. (2008), "Multihop cluster-based architecture for sparse wireless sensor networks", Electronic Proceedings of the 14th European Wireless Conference 2008, Prague, Czech Republic.
  3. Carter, C. (1981), "Time delay estimation for passive sonar signal processing", IEEE Trans. Acoust., Speech, Signal Processing, ASSP-29(6), 463-470.
  4. Charalampidis, D. (2005), "A modified k-means algorithm for circular invariant clustering", IEEE Trans. Pattern Anal. Machine Intell., 27(12), 1856-1865. https://doi.org/10.1109/TPAMI.2005.230
  5. Culler, D., Woo, A. and Tong, T. (2003), "Taming the underlying challenges of reliable multihop routing in sensor networks", Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, Los Angeles, California, USA.
  6. Dudgeon, D. (1977), "Fundamentals of digital array processing", Proc. IEEE, 65(6), 898-904. https://doi.org/10.1109/PROC.1977.10587
  7. Feltrin, G., Meyer, J. and Bischoff, R. (2006), "A wireless sensor network for force monitoring of cable stays", Proceedings of the IABMAS'06 - 3rd international conference on bridge maintenance, Safety and Management, Porto (Portugal), July.
  8. Glaser, S.D. (2005), "Advanced sensors for monitoring our environment", Proceedings of the 1st International Symposium on Advanced Technology of Vibration and Sound, Miyajima, Japan.
  9. Glaser, S.D. (2004), "Some real-world applications of wireless sensor nodes", Proceedings of the SPIE Symposium on Smart Structures and Materials/NDE, San Diego, California.
  10. Glaser, S.D., Shoureshi, R. and Pescovitz, D. (2005), "Future sensing systems", Smart. Struct. Syst., 1(1), 103-120. https://doi.org/10.12989/sss.2005.1.1.103
  11. Glaser, S.D., Min Chen, and Oberheim, T.E. (2006), "Terra-Scope - a MEMS-based vertical seismic array", Smart Struct. Syst., 2(2), 115-126. https://doi.org/10.12989/sss.2006.2.2.115
  12. Glaser, S.D., Ni, S.H. and Ko, C.C. (2008a), "System identification of soil behavior from vertical seismic arrays", Smart. Struct. Syst., 4(6), 727-740. https://doi.org/10.12989/sss.2008.4.6.727
  13. Glaser, S.D. and Tolman, A. (2008b), "Sense of sensing", J. Infrastruct. Syst., 14(1), 4-14. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(4)
  14. Grosse, C.U., Krüger, M. and Chatzichrisafis, P. (2007b), "Acoustic emission techniques using wireless sensor networks", Proceedings of the sustainable bridges - Assessment for future traffic demands and longer lives (Eds. J. Bien et al.), Publ. Dolnoslaskie Wydawnictwo Edukacyjne Wroc aw, Poland.
  15. Grosse, C.U., Krüger, M., Glaser, S.D. and McLaskey, G. (2007a), "Structural health monitoring using acoustic emission array techniques", Proceedings of the International Workshop on Structural Health Monitoring (IWSHM) (Ed. Fu-Kuo Chang), Stanford University, Stanford, CA, Lancaster PA: DEStech Publications Inc.
  16. Grosse, C.U. and Ohtsu, M. (2008), Acoustic Emission Testing: Basics for Research - Applications in Civil Engineering, Springer publ., Heidelberg.
  17. Grosse, C.U., Glaser, S.D. and Krüger, M. (2006), "Condition monitoring of concrete structures using wireless sensor networks and MEMS", Proceedings of the SPIE Vol. 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems (Eds. Masayoshi Tomizuka, Chung-Bang Yun, Victor Giurgiutiu).
  18. Grosse, C.U., Kurz, J., Beutel, R., Reinhardt, H.W., Krüger, M., Marron, P.J., Saukh, O., Rothermel, K., Meyer, J. and Feltrin, G. (2005), "Combined inspection and monitoring techniques for SHM of bridges", Proceedings of the International Workshop on Structural Health Monitoring (IWSHM) (Ed. Fu-Kuo Chang), Stanford University, Stanford, CA, Lancaster PA: DEStech Publications Inc.
  19. Haykin, S. (1985), Radar processing for angle of arrival estimation, Array Signal Processing (Ed. S. Haykin), Prentice Hall, New Jersey.
  20. Holland, S., Chimenti, D., Roberts, R. and Strei, M. (2006), "Locating air leads in manned spacecraft using structure-borne noise", J. Acoust. Soc. Am., 121(6), 3484-3492.
  21. Justice, J.H. (1985), Array processing in exploratory seismology, Array Signal Processing (Ed. S. Haykin), Prentice Hall, New Jersey.
  22. Kelly, E. (1967), Response of seismic arrays to wideband signals, Lincoln Laboratory, Technical Note.
  23. Kim, K., Liu, J. and Insana, M. (2006), "Efficient array beam forming by spatial filtering for ultrasound B-mode imaging", J. Acoust. Soc. Am., 120(2), 852-861. https://doi.org/10.1121/1.2214393
  24. Kruger, M., Grosse, C.U. and Saukh, O. (2006), "Bridge monitoring using multihop wireless sensor networks", Proceedings of the Conference on Operation, Maintenance and Rehabilitation of Large Infrastructure Projects, Bridges and Tunnels (Eds. Vincentsen and Larssen), IABSE Report No. 3, Copenhagen (on CD-ROM).
  25. Kruger, M., Grosse, C.U. and Marron, P.J. (2005), "Wireless structural health monitoring using MEMS", Proceedings of the International Symposium Damage Assessment of Structures (Eds. W. M. Ostachowicz et al.), Gdansk, Poland, Zurich: Trans Tech.
  26. Liu, J., Chen, Y. and Liestman, A. (2004), Clustering algorithms for ad hoc wireless networks (Eds. Y. Xiao and Y. Pan), Ad Hoc and Sensor Networks, Nova Science Publisher.
  27. Luo, W. and Rose, J. (2007), "Phased array focusing and guided waves in a viscoelastic coated hollow cylinder", J. Acoust. Soc. America, 121(4), 1945-1955. https://doi.org/10.1121/1.2711145
  28. Lynch, J.P. (2007), "An overview of wireless structural health monitoring for civil structures", Phil. Trans. R. Soc. Lon. A., Mathematical and Physical Sciences, Mathematical and Physical Sciences, The Royal Society, London, 365(1851), 345-372. https://doi.org/10.1098/rsta.2006.1932
  29. McLaskey, G.C., Glaser, S.D. and Grosse, C.U. (2008), "Acoustic emission beamforming for enhanced damage detection", Proceedings of the SPIE Vol. 6932, Smart Structures and Materials 2008: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems (Ed. Masayoshi Tomizuka).
  30. McLaskey, G.C. and Glaser, S.D. (2009), "High-fidelity conical piezoelectric transducers and finite element models utilized to quantify elastic waves generated from ball collisions", Proceedings of the SPIE Smart Structures and Materials 2009: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems (Ed. Masayoshi Tomizuka).
  31. Meyer, J., Bischoff, R., Feltrin, G. and Saukh, O. (2006), "A structural health monitoring system based on a wireless sensor network", Proceedings of the 3rd International Workshop on Structural Health Monitoring, Granada, Spain.
  32. Ruspini, E. (1969), "A new approach to clustering", Information Control., 15(1), 22-32. https://doi.org/10.1016/S0019-9958(69)90591-9
  33. Santoni, G., Yu, L., Xu, B. and Giurgiutiu, V. (2007), "Lamb wave-mode tuning of piezoelectric wafer active sensors for structural health monitoring", J. Vib. Acoust., Transact. ASME, 129(6), 752-762. https://doi.org/10.1115/1.2748469
  34. Strintzis, M. (1999), Pattern Recognition (in Greek), Kyriakidis Brothers' Publishing.
  35. Sundararaman, S., Adams, D. and Rigas, E. (2005), "Structural damage identification in homogeneous and heterogeneous structures using beamforming", Struct. Health Monit., 4(2), 171-190. https://doi.org/10.1177/1475921705052276
  36. Sustainable Bridges (2007), Sustainable Bridges - Assessment for future traffic demands and longer lives. Integrated Project in the Sixth Framework Programme on Research, Technological Development and Demonstration of the European Union, FP6-PLT-001653, http://www.sustainablebridges.net.

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