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Journal of Sensors
Volume 2016 (2016), Article ID 4359415, 14 pages
http://dx.doi.org/10.1155/2016/4359415
Research Article

A Wireless Sensor Network with Enhanced Power Efficiency and Embedded Strain Cycle Identification for Fatigue Monitoring of Railway Bridges

1Empa-Swiss Federal Laboratories for Materials Science and Technology, Ueberlandstrasse 129, 8600 Duebendorf, Switzerland
2Department of Microelectronics and Computer Science, Technical University of Lodz, 116 Zeromskiego Street, 90-924 Lodz, Poland

Received 29 July 2015; Accepted 15 October 2015

Academic Editor: Lung-Ming Fu

Copyright © 2016 Glauco Feltrin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. X. W. Ye, Y. Q. Ni, K. Y. Wong, and J. M. Ko, “Statistical analysis of stress spectra for fatigue life assessment of steel bridges with structural health monitoring data,” Engineering Structures, vol. 45, pp. 166–176, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. J. Leander, A. Andersson, and R. Karoumi, “Monitoring and enhanced fatigue evaluation of a steel railway bridge,” Engineering Structures, vol. 32, no. 3, pp. 854–863, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. M. Bosshard, P. Steck, C. Meyer, E. Brühwiler, M. Tschumi, and S. Haldimann, “Fatigue safety of riveted bridges—part 2: verification based on the monitoring data of the project ‘Railway Bridge at Eglisau’,” Stahlbau, vol. 81, no. 11, pp. 868–874, 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. Z. X. Li and T. H. T. Chan, “Fatigue criteria for integrity assessment of long-span steel bridge with health monitoring,” Theoretical and Applied Fracture Mechanics, vol. 46, no. 2, pp. 114–127, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. P. Wang, Y. Yan, G. Y. Tian, O. Bouzid, and Z. Ding, “Investigation of wireless sensor networks for structural health monitoring,” Journal of Sensors, vol. 2012, Article ID 156329, 7 pages, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. K. Chebrolu, B. Raman, N. Mishra, P. K. Valiveti, and R. Kumar, “BriMon: a sensor network system for railway bridge monitoring,” in Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services (Mobisys '08), pp. 2–14, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. R. Bischoff, J. Meyer, O. Enochsson, G. Feltrin, and L. Elfgren, “Event-based strain monitoring on a railway bridge with a wireless sensor network,” in Proceedings of the 4th International Conference on Structural Health Monitoring on Intelligent Infrastructure (SHMII-4 '09), Zürich, Switzerland, July 2009.
  8. T. Nagayama, M. Ruiz-Sandoval, B. F. Spencer Jr., K. A. Mechitov, and G. Agha, “Wireless strain sensor development for civil infrastructure,” in Proceedings of the 1st International Workshop on Networked Sensing Systems, pp. 97–100, 2004.
  9. H. Choi, S. Choi, and H. Cha, “Structural health monitoring system based on strain gauge enabled wireless sensor nodes,” in Proceedings of the 5th International Conference on Networked Sensing Systems (INSS '08), pp. 211–214, IEEE, Kanazawa, Japan, June 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. M. J. Whelan and K. D. Janoyan, “Design of a robust, high-rate wireless sensor network for static and dynamic structural monitoring,” Journal of Intelligent Material Systems and Structures, vol. 20, no. 7, pp. 849–863, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. H. Jo, J.-W. Park, B. F. Spencer Jr., and H.-J. Jung, “Develoment of high-sensitivity wireless strain sensor for structural health monitoring,” Smart Structures and Systems, vol. 11, no. 5, pp. 477–496, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. D. A. Howell and H. W. Shenton III, “System for in-service strain monitoring of ordinary bridges,” Journal of Bridge Engineering, vol. 11, no. 6, pp. 673–680, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. Analog Devices, 6-Channel, Low Noise, Low Power, 24-/16-Bit, -Δ ADC with On-Chip in-AMP and Reference, Analog Devices, Norwood, Mass, USA, 2007.
  14. A. T. Zimmerman, M. Shiraishi, R. A. Swartz, and J. P. Lynch, “Automated modal parameter estimation by parallel processing within wireless monitoring systems,” Journal of Infrastructure Systems, vol. 14, no. 1, pp. 102–113, 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. S.-H. Sim, J. F. Carbonell-Márquez, B. F. Spencer Jr., and H. Jo, “Decentralized random decrement technique for efficient data aggregation and system identification in wireless smart sensor networks,” Probabilistic Engineering Mechanics, vol. 26, no. 1, pp. 81–91, 2011. View at Publisher · View at Google Scholar
  16. J. P. Lynch, Y. Wang, K. J. Loh, J.-H. Yi, and C.-B. Yun, “Performance monitoring of the Geumdang bridge using a dense network of high-resolution wireless sensors,” Smart Materials and Structures, vol. 15, no. 6, pp. 1561–1575, 2006. View at Publisher · View at Google Scholar · View at Scopus
  17. G. Feltrin, K. E. Jalsan, and K. Flouri, “Vibration monitoring of a footbridge with a wireless sensor network,” Journal of Vibration and Control, vol. 19, no. 15, pp. 2285–2300, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. K. Flouri, O. Saukh, R. Sauter et al., “A versatile software architecture for civil structure monitoring with wireless sensor networks,” Smart Structures and Systems, vol. 10, no. 3, pp. 209–228, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. G. Feltrin, J. Meyer, R. Bischoff, and M. Motavalli, “Long-term monitoring of cable stays with a wireless sensor network,” Structure and Infrastructure Engineering, vol. 6, no. 5, pp. 535–548, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. S. O'Connor, J. Kim, J. P. Lynch, K. H. Law, and L. Salvino, “Fatigue life monitoring of metallic structures by decentralized rainflow counting embedded in a wireless sensor network,” in Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol. 2, Philadelphia, Pa, USA, September-October 2010.
  21. S. D. Downing and D. F. Socie, “Simple rainflow counting algorithms,” International Journal of Fatigue, vol. 4, no. 1, pp. 31–40, 1982. View at Publisher · View at Google Scholar · View at Scopus
  22. Texas Instruments Incorporated, MSP430 Ultra-Low-Power Microcontrollers, Texas Instruments Incorporated, Dallas, Tex, USA, 2014.
  23. Decentlab GmbH, Single Channel Sensor Node, Decentlab GmbH, Dübendorf, Switzerland, 2014.
  24. Tokyo Sokki Kenkyujo, FGMH-1, Strain Checker, Tokyo Sokki Kenkyujo, Tokyo, Japan, 2005.
  25. E. Ghafoori, M. Motavalli, A. Nussbaumer, A. Herwig, G. S. Prinz, and M. Fontana, “Design criterion for fatigue strengthening of riveted beams in a 120-year-old railway metallic bridge using pre-stressed CFRP plates,” Composites Part B: Engineering, vol. 68, pp. 1–13, 2015. View at Publisher · View at Google Scholar · View at Scopus
  26. E. Ghafoori, G. S. Prinz, E. Mayor et al., “Finite element analysis for fatigue damage reduction in metallic riveted bridges using pre-stressed CFRP plates,” Polymers, vol. 6, no. 4, pp. 1096–1118, 2014. View at Publisher · View at Google Scholar · View at Scopus