Smart Structures and Systems

  • 제11권5호
  • /
  • Pages.477-496
  • /
  • 2013
  • /
  • 1738-1584(pISSN)
  • /
  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Develoment of high-sensitivity wireless strain sensor for structural health monitoring

  • Jo, Hongki (Department of Civil and Environmental Engineering, UIUC) ;
  • Park, Jong-Woong (Department of Civil and Environmental Engineering, KAIST) ;
  • Spencer, B.F. Jr. (Department of Civil and Environmental Engineering, UIUC) ;
  • Jung, Hyung-Jo (Department of Civil and Environmental Engineering, KAIST)
  • 투고 : 2012.06.11
  • 심사 : 2012.11.30
  • 발행 : 2013.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

Due to their cost-effectiveness and ease of installation, wireless smart sensors (WSS) have received considerable recent attention for structural health monitoring of civil infrastructure. Though various wireless smart sensor networks (WSSN) have been successfully implemented for full-scale structural health monitoring (SHM) applications, monitoring of low-level ambient strain still remains a challenging problem for WSS due to A/D converter (ADC) resolution, inherent circuit noise, and the need for automatic operation. In this paper, the design and validation of high-precision strain sensor board for the Imote2 WSS platform and its application to SHM of a cable-stayed bridge are presented. By accurate and automated balancing of the Wheatstone bridge, signal amplification of up to 2507-times can be obtained, while keeping signal mean close to the center of the ADC span, which allows utilization of the full span of the ADC. For better applicability to SHM for real-world structures, temperature compensation and shunt calibration are also implemented. Moreover, the sensor board has been designed to accommodate a friction-type magnet strain sensor, in addition to traditional foil-type strain gages, facilitating fast and easy deployment. The wireless strain sensor board performance is verified through both laboratory-scale tests and deployment on a full-scale cable-stayed bridge.

키워드

참고문헌

  1. AAEON Technology Inc., (2008), "AEC-6905, Advanced embedded fanless controller with PCI and PC/104+ expansion", Taipei, Taiwan.
  2. Bischoff, R., Meyer, J., Enochsson, O., Feltrin, G. and Elfgren, L. (2009), "Event-based strain monitoring on a railway bridge with a wireless sensor network", Proceedings of the 4th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Zurich, Switzerland.
  3. Cho, S., Jo, H., Jang, S.A., Park, J., Jung, H.J., Yun, C.B., Spencer, Jr., B.F. and Seo, J. (2010), "Structural health monitoring of a cable-stayed bridge using smart sensor technology: data analyses", Smart Struct. Syst., 6(5-6), 461-480. https://doi.org/10.12989/sss.2010.6.5_6.461
  4. Choi, H., Choi, S. and Cha, H. (2008), "Structural health monitoring system based on strain gauge enabled wireless sensor nodes," Proceedings of the 5th International conference on networked sensing systems.
  5. Illinois Structural Health Monitoring Project (ISHMP) Service Toolsuite, http://shm.cs.uiuc.edu.
  6. Jang, S.A., Jo, H., Cho, S., Mechitov, K.A., Rice, J.A., Sim, S.H., Jung, H.J., Yun, C.B., Spencer, Jr., B.F. and Agha, G. (2010), "Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation", Smart Struct. Syst., 6(5-6), 439-459. https://doi.org/10.12989/sss.2010.6.5_6.439
  7. Jo, H., Sim, S., Mechitov, K.A., Kim, R., Li, J., Moinzadeh, P., Spencer, B.F., Park, J., Cho, S., Jung, H., Yun, C., Rice, J.A. and Nagayama, T. (2011), "Hybrid wireless smart sensor network for full-scale structural health monitoring of a cable-stayed bridge", Proceedings of the SPIE, San Diego.
  8. Kurata, M., Kim, J., Zhang, Y., Lynch, J.P., Linden, G.W., Jacob, V., Thometz, E., Hipley, P. and Sheng, L.H. (2010), "Long-term assessment of an autonomous wireless structural health monitoring system at the New Carquinez Suspension Birdge", Proceedings of the SPIE, San Diego.
  9. MAXIM Inc. (2003), MAX4194, Micropower precision instrumentation amplifier, Sunnyvale, CA.
  10. MAXIM Inc. (2006), MAX5479, Dual-nonvolatile digital potentiometer, Sunnyvale, CA.
  11. MEMSIC (2006), Imote2, Advanced wireless sensor network node platform, Andover, MA.
  12. MEMSIC (2007), MICA2, Wireless measurement system, Andover, MA.
  13. Meyer, J., Bischoff, R., Feltrin, G. and Motavalli, M. (2010), "Wireless sensor networks for long-term structural health monitoring", Smart Struct. Syst., 6(3), 263-275. https://doi.org/10.12989/sss.2010.6.3.263
  14. MicroStrain Inc. (2011), SG-Link-mXRS, Wireless strain node, Williston, VT.
  15. MOTEIV (2006), Tomote Sky, Ultra low power wireless sensor module, San Francisco, CA.
  16. Nagayama, T., Ruiz-Sandoval, M., Spencer, B.F., Mechitov, K.M. and Agha, G. (2004), "Wireless strain sensor development for civil infrastructure", Proceedings of the 1st International Workshop on Networked Sensing Systems, Tokyo, Japan.
  17. National Instruments (2007a), NI SCXI-1520, 8-Ch Universal strain gauge input module, Austin, TX.
  18. National Instruments (2007b), NI SCXI-1314, Front-mounting Wheatstone bridge terminal block, Austin, TX.
  19. National Instruments (2011), NI WSN-3214, 4ch strain gage node, Austin, TX.
  20. O'Brien, E., Znidaric, A. and Ojio, T. (2008), "Bridge weight-in-motion - latest developments and applications worldwide", Proceedings of the International Conference on Heavy Vehicles, Heavy Vehicle Transport Technology and Weight-In-Motion, Paris, France, 25-38.
  21. O'connor, S., Kim, J., Lynch, J.P., Law, K.H. and Salvino, L. (2010), "Fatigue life monitoring of metallic structures by decentralized rainflow counting embedded in a wireless sensor network", Proceedings of the ASME Conference on Smart Material, Adaptive Structure and Intelligent System, Philadelphia.
  22. Quickfilter Technologies, Inc. (2007), QF4A512, 4-Ch programmable signal conditioner, Allen, TX.
  23. Rice, J.A. and Spencer, B.F. (2008), "Structural health monitoring sensor development for the Imote2 platform", Proceedings of the SPIE, San Diego.
  24. Rice, J.A., Mechitov, K., Sim, S.H., Nagayama, T., Jang, S., Kim, R., Spencer, Jr., B.F., Agha, G. and Fujino, Y. (2010), "Flexible smart sensor framework for autonomous structural health monitoring", Smart Struct. Syst., 6(5-6), 423-438. https://doi.org/10.12989/sss.2010.6.5_6.423
  25. Spencer, B.F. and Cho, S. (2011), "Wireless smart sensor technology for monitoring civil infrastructure: technological developments and full-scale applications" , Proceedings of the ASEM'11+, Seoul, Korea.
  26. Swartz, R.A., Jung, D., Lynch, J.P., Wang, Y. and Flynn, M. (2005), "Design of a wireless sensor for scalable distributed in-network computation in a structural health monitoring system", Proceedings of the Int. Workshop on Structural Health Monitoring, Stanford, CA.
  27. Tokyo Sokki Kenkyujo Co., Ltd. (2005), FGMH-1, Strain checker, Tokyo, Japan.
  28. Whelan, M.J. and Janoyan, K.D. (2009), "Design of a robust, high-rate wireless sensor network for static and dynamic structural monitoring", J. Intell. Mater. Syst. Struct., 20(7), 849-864. https://doi.org/10.1177/1045389X08098768
  29. Whelan, M.J., Gangone, M.V., Janoyan, K.D., Hoult, N.A., Middleton, C.R. and Soga, K. (2010), "Wireless operational modal analysis of a multi-span prestressed concrete bridge for structural identification", Smart Struct. Syst., 6(5-6), 579-594. https://doi.org/10.12989/sss.2010.6.5_6.579
  30. ZMD AG (2004), ZMD31050, Advanced differential sensor signal conditioner, Dresden, Germany.
  31. Zonta, D., Wu, H., Pozzi, M., Zanon, P., Ceriotti, M., Mottola, L., Picco, G.P., Murphy, A.L., Guna, S. and Corra, M. (2010), "Wireless sensor networks for permanent health monitoring of historic buildings", Smart Struct. Syst., 6(5-6), 595-618. https://doi.org/10.12989/sss.2010.6.5_6.595

피인용 문헌

  1. A strain measurement model using a limited number of sensors for steel beam structures subjected to uncertain loadings vol.26, pp.11, 2015, https://doi.org/10.1088/0957-0233/26/11/115007
  2. Strain Gauge-Enable Wireless Vibration Sensor Remotely Powered by Light vol.15, pp.9, 2015, https://doi.org/10.1109/JSEN.2015.2437843
  3. Event-driven strain cycle monitoring of railway bridges using a wireless sensor network with sentinel nodes vol.24, pp.7, 2017, https://doi.org/10.1002/stc.1934
  4. A methodology for sustainable monitoring of micro locations at remote, hard-to-access and unsafe places vol.15, pp.5, 2015, https://doi.org/10.12989/sss.2015.15.5.1363
  5. Repetitive model refinement for structural health monitoring using efficient Akaike information criterion vol.15, pp.5, 2015, https://doi.org/10.12989/sss.2015.15.5.1329
  6. A Practical Monitoring System for the Structural Safety of Mega-Trusses Using Wireless Vibrating Wire Strain Gauges vol.13, pp.12, 2013, https://doi.org/10.3390/s131217346
  7. Bridge load testing and rating: a case study through wireless sensing technology vol.12, pp.6, 2013, https://doi.org/10.12989/sss.2013.12.6.661
  8. Traffic Safety Evaluation for Railway Bridges Using Expanded Multisensor Data Fusion vol.31, pp.10, 2016, https://doi.org/10.1111/mice.12210
  9. Electrical signal characteristics of conductive asphalt concrete in the process of fatigue cracking vol.14, pp.3, 2014, https://doi.org/10.12989/sss.2014.14.3.469
  10. A Recent Research Summary on Smart Sensors for Structural Health Monitoring vol.19, pp.3, 2015, https://doi.org/10.11112/jksmi.2015.19.3.010
  11. Railroad bridge monitoring using wireless smart sensors vol.24, pp.2, 2017, https://doi.org/10.1002/stc.1863
  12. A Novel 3-D Embedded Module for Displacement Measurement in Metal Structures vol.7, pp.11, 2017, https://doi.org/10.1109/TCPMT.2017.2749278
  13. Development of High-Sensitivity and Low-Cost Electroluminescent Strain Sensor for Structural Health Monitoring vol.16, pp.7, 2016, https://doi.org/10.1109/JSEN.2015.2509261
  14. A Wireless Sensor Network with Enhanced Power Efficiency and Embedded Strain Cycle Identification for Fatigue Monitoring of Railway Bridges vol.2016, 2016, https://doi.org/10.1155/2016/4359415
  15. Recent advances in wireless smart sensors for multi-scale monitoring and control of civil infrastructure vol.6, pp.1, 2016, https://doi.org/10.1007/s13349-015-0111-1
  16. Sensor-Free Stress Estimation Model for Steel Beam Structures Using a Motion Capture System vol.16, pp.8, 2016, https://doi.org/10.1109/JSEN.2016.2519033
  17. Development of wireless sensor node hardware for large-area capacitive strain monitoring vol.28, pp.1, 2018, https://doi.org/10.1088/1361-665X/aaebc6
  18. Bayesian ballast damage detection utilizing a modified evolutionary algorithm vol.21, pp.4, 2018, https://doi.org/10.12989/sss.2018.21.4.435
  19. Towards rapid and robust measurements of highway structures deformation using a wireless sensing system derived from wired sensors vol.10, pp.2, 2013, https://doi.org/10.1007/s13349-020-00385-5
  20. Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction vol.19, pp.3, 2013, https://doi.org/10.1177/1475921719854528