Smart Structures and Systems

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A sensor for confident identification of structural damage in reinforced concrete buildings

  • Sozen, Mete A. (Department of Structural Engineering, Purdue University) ;
  • Pujol, Santiago (Department of Civil Engineering, Purdue University)
  • Received : 2008.07.19
  • Accepted : 2009.07.01
  • Published : 2010.04.25
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Abstract

A specific type of structural damage that would benefit from remote sensing is discussed and a solution is suggested.

Keywords

References

  1. Advantech (2009), http://www.advantech.com/, Official web site of Advantech. Co.
  2. Aoki, S., Fujino, Y. and Abe, M. (2003), "Intelligent bridge maintenance system using MEMS and network technology", Proceedings of the SPIE Conference, San Diego, CA.
  3. Chin, J.C., Rautenberg, J.M., Ma, C.Y.T., Pujol, S. and Yau, D.K.Y. (2008), "A low-cost, low-data-rate rapid structural assessment network", Proceedings of the 5th IEEE International Conference on Mobile Ad-hoc and Sensor Systems, Atlanta.
  4. 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 the 13th World Conference on Earthquake Engineering, Vancouver, BC, Canada.
  5. Crossbow Technology (2009), http://www.xbow.com.
  6. Damon Fick (2008), Testing and structural evaluation of a large-scale three-story flat plate, Doctoral Dissertation, Purdue University, April.
  7. Department of Conservation, Division of Mines and Geology (CDMG)(1994), Processed data for Van Nuys - 7- Story hotel from the Northridge earthquake of 17 January 1994, Strong Motion Instrumentation Program, Sacramento, CA.
  8. Faison, H., Comartin, C.D. and Elwood, K. (2004), Reinforced concrete moment frame buildings without seismic details, Report 111, Earthquake Engineering Research Institute, Oakland, CA.
  9. Farrar, C.R., Allen, D.W., Ball, S., Masquelier, M.P. and Park, G. (2005), "Coupling sensing hardware with data interrogation software for structural health monitoring", Proceedings of the 6th International Symposium on Dynamic Problems of Mechanics, Ouro Preto, Brazil.
  10. Lynch, J.P., Law, K.H., Kiremidjian, A.S., Kenny, T.W., Carryer, E. and Patridge, A. (2001), "The design of a wireless sensing unit for structural health monitoring", Proceedings of the 3rd International Workshop on Structural Health Monitoring, Stanford, CA, September.
  11. Morita, K. and Noguchi, K. (2006), "Crack detection sensor using RFID-Tag and electrically conductive paint", AIJ J. Technol. Des., (24).
  12. Phidgets (2008), http://www.phidgets.com/, Official web site of Phidgets Inc.
  13. Straser, E.G. and Kiremidjian, A.S. (1998), A modular, wireless damage monitoring system for structures, Technical Report 128, John A. Blume Earthquake Engineering Center, Stanford University, Palo Alto, CA.
  14. Wang, Y., Lynch, J.P. and Law, K.H. (2005), "Validation of an integrated network system for real-time wireless monitoring of civil structures", Proceedings of the 5th International Workshop on Structural Health Monitoring, Stanford, CA, September.
  15. Wood, S.L. and Neikirk, D.P. (2001), "Development of a passive sensor to detect cracks in welded steel construction", US-Japan Joint Workshop and Third Grantees Meeting, Seattle, Washington.
  16. Zhao, F. and Guibas, L. (2004), Wireless Sensor Networks: An Information Processing Approach, Morgan Kaufman, San Francisco, USA.

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