Smart Structures and Systems

  • 제5권2호
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  • Pages.173-191
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  • 2009
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

The needs for advanced sensor technologies in risk assessment of civil infrastructures

  • Fujino, Yozo (Department of Civil Engineering, The University of Tokyo) ;
  • Siringoringo, Dionysius M. (Department of Civil Engineering, The University of Tokyo) ;
  • Abe, Masato (BMC Corporation)
  • 투고 : 2008.05.30
  • 심사 : 2008.08.24
  • 발행 : 2009.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

Civil infrastructures are always subjected to various types of hazard and deterioration. These conditions require systematic efforts to assess the exposure and vulnerability of infrastructure, as well as producing strategic countermeasures to reduce the risks. This paper describes the needs for and concept of advanced sensor technologies for risk assessment of civil infrastructure in Japan. Backgrounds of the infrastructure problems such as natural disasters, difficult environment, limited resource for maintenance, and increasing requirement for safety are discussed. The paper presents a concept of risk assessment, which is defined as a combination of hazard and structural vulnerability assessment. An overview of current practices and research activities toward implementing the concept is presented. This includes implementation of structural health monitoring (SHM) systems for environment and natural disaster prevention, improvement of stock management, and prevention of structural failure.

키워드

참고문헌

  1. Celebi, M. (2006), "Real-time seismic monitoring of the new cape girardeau bridge and preliminary analyses of recorded data: an overview", Earthq. Spectra, 22(3), 609-630. https://doi.org/10.1193/1.2219107
  2. Chaudhary, M. T. A., Abe, M., Fujino, Y., Yoshida, J. (2000), "System identification of two base-isolated bridges using seismic records", J. Struct. Eng., ASCE, 126, 1187-1195. https://doi.org/10.1061/(ASCE)0733-9445(2000)126:10(1187)
  3. Cornell, C. A. (1968), "Engineering seismic risk analysis", Bulletin of the Seismological Society of America; 58(5), 1583-1606.
  4. Doebling, S. W., Farrar, C. R., Prime, M. B. and Shevitz, D. (1996), "Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics", Los Alamos National Laboratory Report LA-13070.
  5. Dyke, S. J., Bernal, D., Beck, J. and Ventura, C. (2003), "Experimental phase of the structural health monitoring benchmark problem", Proc. of the 16th ASCE Engineering Mechanics.
  6. Ellingwood, B. R. (2001), "Earthquake risk assessment of building structures", Reliability Engineering & System Safety, 74(3), 251-262. https://doi.org/10.1016/S0951-8320(01)00105-3
  7. Fujino, Y. (2005), "Development of vehicle intelligent monitoring system (VIMS)", Proc of SPIE International Symposia on Smart Structures & Materials/NDE, Conference#5765.
  8. Fujino, Y. and Abe, M. (2007) "Characterization of risk, hazard and vulnerability in natural disasters", Proc of 10th International Conference on Applications of Statistics and Probability in Civil Engineering.
  9. Hernandez, J. Jr., Miyashita, T., Ishii, H., Vorabouth, P. and Fujino, Y. (2006), "Identification of modal characteristics of shinkansen RC viaducts using laser doppler vibrometers", Proc. of the First Asia-Pacific Workshop on SHM, Yokohama, Japan.
  10. Ishii, Y., Fujino, Y., Mizuno, Y. and Kaito, K. (2006), "The study of train intelligent monitoring system using acceleration of ordinary trains", Proc of Asia-Pasific Workshop on Structural Health Monitoring, Yokohama Japan (CD).
  11. Japan Ministry of Land, Infrastructure and Transport (MLIT) (2005), White Paper on Land, Infrastructure and Transport.
  12. Japan Meteorology Agency-AMeDAS (http://www.jma.go.jp/jp/amedas/).
  13. Japan Railway Central (2005) "Operation launch of the new earthquake rapid alarm system "TERRA-S" for tokaido shinkansen", (http://jr-central.co.jp/eng.nsf/english/n-05-0905).
  14. Kinoshita, S. (1998), "Kyoshin-net (K-NET)", Seism. Res. Lett., 69, 309-332. https://doi.org/10.1785/gssrl.69.4.309
  15. Miyashita, T., Ishii, H., Kubota, K. and Fujino, Y. (2007), "Advanced vibration measurement system using LDV for structural monitoring", Proc. of EVACES'07, Porto, Portugal, 133-142.
  16. Mita, A. (2000), "Emerging needs in japan for health monitoring technologies in civil and building structures", Structural Health Monitoring 2000, Fu-Kuo Chang Editor, 56-67.
  17. Nagayama, T., Abe, M., Fujino, Y. and Ikeda, K. (2005), "Structural identification of a nonproportionally damped system and its application to a full-scale suspension bridge", J. Struct. Eng. ASCE, 131, 1536-1545. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:10(1536)
  18. Nagayama, T. Sim, S. H., Miyamori, Y. and Spencer, B. F. Jr. (2007), "Issues in structural health monitoring employing smart sensors", Smart Struct. Sys., 3(3), 299-320. https://doi.org/10.12989/sss.2007.3.3.299
  19. Okada, Y., Kasahara, K., Hori, S., Obara, K., Sekiguchi, S., Fujiwara, H. and Yamamoto, A., (2004), "Recent progress of seismic observation networks in Japan-Hi-net, F-net, K-NET and KiK-net", Earth Planets Space, 56, xv-xxviii https://doi.org/10.1186/BF03353076
  20. Peeters, B. and DeRoeck, G. (2001) "One-year monitoring of the Z24-Bridge: environmental effects versus damage event", Earthq. Eng. Struct. Dyn. 30(2), 149-171. https://doi.org/10.1002/1096-9845(200102)30:2<149::AID-EQE1>3.0.CO;2-Z
  21. Shimizu, Y. et al. (2006), "Development of real-time safety control system for urban gas supply network", J. Geotech. Geoenvir. Eng., ASCE, 132, 237-250. https://doi.org/10.1061/(ASCE)1090-0241(2006)132:2(237)
  22. Siringoringo, D. M. and Fujino, Y. (2006a), "Experimental study of laser Doppler vibrometer and ambient vibration for vibration-based damage detection", Eng. Struct., 28, 1803-1815. https://doi.org/10.1016/j.engstruct.2006.03.006
  23. Siringoringo, D. M. and Fujino, Y. (2006b), "Observed dynamic performance of the yokohama-bay bridge from system identification using seismic records", Struct. Control Health Monit., 13(1), 226-244. https://doi.org/10.1002/stc.135
  24. Siringoringo, D. M. and Fujino, Y. (2007), "Dynamic characteristics of a curved cable-stayed bridge identified from strong-motion records", Eng. Struct., 29, 2001-2017. https://doi.org/10.1016/j.engstruct.2006.10.009
  25. Siringoringo, D. M. and Fujino, Y. (2008a), "System identification applied to long-span cable-supported bridges using seismic records", Earthq. Eng. Struct. Dyn., 37(3).
  26. Siringoringo D. M. and Fujino, Y. (2008b), "System identification of suspension bridge from ambient vibration response", Eng. Struct. 30(2), 462-477. https://doi.org/10.1016/j.engstruct.2007.03.004
  27. Sayers, M. W. (1995), "On the calculation of International Roughness Index from longitudinal road profiler", Transportation Research Record, 1995, 1-12.
  28. Spencer, Jr. 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
  29. Suzuki, O., Abe, M., Shimamura, M. and Matsunuma, M. (2007) "Health monitoring system for railway bridge piers", Proceedings The 3rd International Conference on Structural Health Monitoring and Intelligent Infrastructure.
  30. The Yokohama Bay Bridge, (1991) published by the Metropolitan Expressway Public Corporation, Tokyo Japan, (in Japanese).
  31. Wong, K. Y. (2004), "Instrumentation and health monitoring of cable-supported bridges", Struct. Control Health Monit. 11, 91-124. https://doi.org/10.1002/stc.33
  32. Worden, K. (1997), "Structural fault detection using a novelty measure", J. Sound Vib., 201, 85-101. https://doi.org/10.1006/jsvi.1996.0747
  33. Worden, K., Sohn, H. and Farrar, C. R. (2002), "Novelty detection in a changing environment: regression and interpolation approaches", J. Sound Vib., 258, 741-761. https://doi.org/10.1006/jsvi.2002.5148
  34. Wu, Z. (2003), "Structural health monitoring and intelligent infrastructures in Japan", Struct. Health Monit. Intell. Infrastr., Wu & Abe (eds), 1, 153-167.
  35. Xia, Y., Fujino, Y., Abe, M. and Murakoshi, J. (2005), "Short-term and long-term health monitoring experience of a short highway bridge: case study", J. Bridge Struct., 1(1), 43-53. https://doi.org/10.1080/15732480412331294696
  36. Yasuda, M., Kitagawa, M., Moritani, T. and Fukunaga, S. (2000), "Seismic design and behavior during the Hyogo-ken nanbu earthquake of the Akashi kaikyo bridge", Proc of 12th World Conference on Earthquake Engineering.

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