Smart Structures and Systems

  • 제6권5_6호
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  • Pages.641-659
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  • 2010
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures

  • Yu, Yan (School of Electronic Science and Technology, Dalian University of Technology) ;
  • Ou, Jinping (School of Civil and Hydraulic Engineering, Dalian University of Technology) ;
  • Li, Hui (School of Civil Engineering, Harbin Institute of Technology)
  • 투고 : 2009.10.14
  • 심사 : 2010.04.01
  • 발행 : 2010.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Structural Health Monitoring (SHM) gradually becomes a technique for ensuring the health and safety of civil infrastructures and is also an important approach for the research of the damage accumulation and disaster evolving characteristics of civil infrastructures. It is attracting prodigious research interests and the active development interests of scientists and engineers because a great number of civil infrastructures are planned and built every year in mainland China. In a SHM system the sheer number of accompanying wires, fiber optic cables, and other physical transmission medium is usually prohibitive, particularly for such structures as offshore platforms and long-span structures. Fortunately, with recent advances in technologies in sensing, wireless communication, and micro electro mechanical systems (MEMS), wireless sensor technique has been developing rapidly and is being used gradually in the SHM of civil engineering structures. In this paper, some recent advances in the research, development, and implementation of wireless sensors for the SHM of civil infrastructures in mainland China, especially in Dalian University of Technology (DUT) and Harbin Institute of Technology (HIT), are introduced. Firstly, a kind of wireless digital acceleration sensors for structural global monitoring is designed and validated in an offshore structure model. Secondly, wireless inclination sensor systems based on Frequency-hopping techniques are developed and applied successfully to swing monitoring of large-scale hook structures. Thirdly, wireless acquisition systems integrating with different sensing materials, such as Polyvinylidene Fluoride(PVDF), strain gauge, piezoresistive stress/strain sensors fabricated by using the nickel powder-filled cement-based composite, are proposed for structural local monitoring, and validating the characteristics of the above materials. Finally, solutions to the key problem of finite energy for wireless sensors networks are discussed, with future works also being introduced, for example, the wireless sensor networks powered by corrosion signal for corrosion monitoring and rapid diagnosis for large structures.

키워드

참고문헌

  1. Brooks, T. (1999), "Using smart accelerometers and wireless interfaces for condition monitoring", Machine Plant and Systems Monitor, May/June issue.
  2. Glaser, S.D., Li, H., Wang, M.L., Ou J. and Lynch J.P. (2007), "Sensor technology innovation for advancement of structural health monitoring: A Strategic Program Plan of US-China Research for the Next Decade", Smart Struct. Syst., 3(2), 221-244. https://doi.org/10.12989/sss.2007.3.2.221
  3. Han, Baoguo, Guan, Xinchun and Ou, Jinping (2007), "Electrode design, measuring method and data acquisition system of carbon fiber cement paste piezoresistive sensors", Sensors Actuat. A- Phys., 135(2), 360-369. https://doi.org/10.1016/j.sna.2006.08.003
  4. Han, Baoguo, Yu, Y., Han, B.Z. and Ou, Jinping (2008), "Development of a wireless stress/strain measurement system integrated with pressure-sensitive nickel powder-filled cement-based sensors", Sensors Actuat. A-Phys., 147(2), 536-543. https://doi.org/10.1016/j.sna.2008.06.021
  5. Housner, G.W., Bergman, L.A., Caughey T.K., Chassiakos, A.G., Claus, R.O., Masri, S.F., Skelton, R.E., Soong, T.T., Spencer, B.F. and Yao, J.T.P. (1997), "Structural control: past, present and future", J. Eng. Mech-ASCE, 123(9), 897-971. https://doi.org/10.1061/(ASCE)0733-9399(1997)123:9(897)
  6. Ju, Dianshu, Zhou, Zhi and Ou, Jinping (2004), "Study on strain sensing of PVDF films", J. Func. Mater., 35(4), 450-456.
  7. Kang, Y.K., Park H.C. and Hwang, H. (1996), "Optimum placement of piezoelectric sensor/actuator for vibration control of laminated beams", AIAA J., 34(9), 1921-1926. https://doi.org/10.2514/3.13326
  8. Kohvakka, Mikko, Hannikainen, Marko and Hämäläinen, Timo D. (2003), "Wireless sensor prototype platform", Proceedings of the 29th Annual Conference of the IEEE on Industrial Electronics Society(IECON '03), February.
  9. Liu, R.C., Zhou, L., Chen, X. and Mau, S.T. (2001), Wireless sensors for structural monitoring, Strong Motion Instrumentation for Civil Engineering Structures, Kluwer Academic Publishers, Dordrecht.
  10. Lynch, J.P., Law, K.H., Kiremidjian, A.S., Kenny, T.W., Carryer, E. and Partridge, 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.
  11. Lynch, J.P., Sundararajan, Arvind, Law, Kincho H., Kiremidjian, Anne S., Kenny, Thomas, Carryer, Ed (2003), "Embedment of structural monitoring algorithms in a wireless sensing unit", Struct. Eng. Mech., 15(3), 285-297. https://doi.org/10.12989/sem.2003.15.3.285
  12. Maser, K., Egri, R., Lichtenstein, A. and Chase, S. (2003), "Development of a wireless global bridge evaluation and monitoring system (WGBEMS)", Proceedings of the Specialty Conference on Infrastructure Condition Assessment: Art, Science, Practice.
  13. Mitchell, K., Sana, S., Balakrishnan, V.S., Rao, V. and Pottinger, H.J. (1999), "Micro sensors for health monitoring of smart structures", Proceedings of the SPIE Conference on Smart Electronics and MEMS, 3673, 351-358.
  14. Ou, Jinping and Han, Baoguo (2009), "Piezoresistive cement-based strain sensors and self-sensing concrete components", J. Intel. Mat. Syst. Str., 20(3), 329-336. https://doi.org/10.1177/1045389X08094190
  15. Ou, Jinping and Li, Hongwei (2003), "Wireless sensor information fusion for structural health monitoring", Proceedings of the Conference on Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, Orlando, FL, USA.
  16. Ou, Jinping and Guan, Xinchun (1999), "State-of–the-art of smart structual system in civil engineering", Earthq. Eng. Eng. Vib., 19, 21-28.
  17. Ou, Jinping, Zhang, Chunwei, Li, Luyu, Xu, Huaibing and Li, Jilong (2006), "Swing motion control of flexible suspended hook structure system" Proceedings of the 4th World Conference on Structural Control and Monitoring, San Diego, California, USA.
  18. Scott, Meninger, Jose, Oscar Mur-Miranda, Rajeevan, Amirtharajah, Anantha, Chandrakasan, Jeffrey, Lang. (2001), "Vibration-to-electric energy conversion", IEEE Trans. VLSI Syst., 9(1), 64-76. https://doi.org/10.1109/92.920820
  19. Shiraishi, M., Kumagai, H., Inada, H., Okuhara, Y. and Matsubara, H. (2005), "The SHM system using selfdiagnosis material and wireless data measurement device", Proceedings of the Conference on Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, San Diego, CA, USA, March.
  20. Spencer, B.F. (2003a), "Opportunities and challenges for smart sensing technology", Proceedings of the First International Conference on Structural Health Monitoring and Intelligent Infrastructure, Japan.
  21. Spencer, B.F. (2003b), "A study on building risk monitoring using wireless sensor network MICA mote", Proceedings of the First International Conference on Structural Health Monitoring and Intelligent Infrastructure, Japan.
  22. Straser, E.G. and Kiremidjian, A.S. (1996), "A modular visual approach to damage monitoring for civil structures", Proceedings of the SPIE-Smart Structures and Materials.
  23. Straser, E.G., Kiremidjian, A.S., Meng, T.H. and Redlefsen, L. (1998), "A modular, wireless network platform for monitoring structures", Proceedings of the 16th international modal analysis conference, Santa Barbara CA, February.
  24. Yu, Yan (2006), Wireless sensors and their networks for structural health monitoring, Dissertation for the degree of doctor, Harbin Institute of Technology.
  25. Yu, Yan and Ou, Jinping (2009), "Wireless collection and data fusion method of strain signal in civil engineering structures", Sensor Review, 29(1), 63-69. https://doi.org/10.1108/02602280910926760
  26. Yu, Yan, Li, Hongwei and Ou, Jinping (2004), "Wireless acceleration sensor used for civil engineering structure monitoring and its integration technique", Proceedings of the 3rd International Symposium on Instrumentation Science and Technology, Xi'an, China.
  27. Yu, Yan, Ou, Jinping, Zhang, Jun, Zhang, Chunwei and Li, Luyu (2009), "Development of wireless MEMS inclination sensor system for swing monitoring of large scale hook structures", IEEE T. Ind. Electron., 56(4), 1072-1078. https://doi.org/10.1109/TIE.2009.2012469

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  1. Intelligent Monitoring of Multistory Buildings under Unknown Earthquake Excitation by a Wireless Sensor Network vol.8, pp.12, 2012, https://doi.org/10.1155/2012/914638
  2. Initial Validation of Mobile-Structural Health Monitoring Method Using Smartphones vol.11, pp.2, 2015, https://doi.org/10.1155/2015/274391
  3. Public-participant quick cable force investigation method using smartphone for bridges in disaster area vol.8, pp.12, 2016, https://doi.org/10.1177/1687814016683600
  4. Design and Experimental Investigations of a Vibration Based Wireless Measurement System for Bridge Cable Tension Monitoring vol.17, pp.11, 2014, https://doi.org/10.1260/1369-4332.17.11.1657
  5. A Study on Data Loss Compensation of WiFi-Based Wireless Sensor Networks for Structural Health Monitoring vol.16, pp.10, 2016, https://doi.org/10.1109/JSEN.2015.2512846
  6. Natural Disaster Monitoring with Wireless Sensor Networks: A Case Study of Data-intensive Applications upon Low-Cost Scalable Systems vol.18, pp.5, 2013, https://doi.org/10.1007/s11036-013-0456-9
  7. Practical issues in signal processing for structural flexibility identification vol.15, pp.1, 2015, https://doi.org/10.12989/sss.2015.15.1.209
  8. Feasibility of Output-Only Modal Identification Using Wireless Sensor Network: A Quantitative Field Experimental Study vol.8, pp.11, 2012, https://doi.org/10.1155/2012/560161
  9. Portable and convenient cable force measurement using smartphone vol.5, pp.4, 2015, https://doi.org/10.1007/s13349-015-0132-9
  10. Design of a Wireless Multi-Radio-Frequency Channels Inspection System for Bridges vol.8, pp.12, 2012, https://doi.org/10.1155/2012/743673
  11. A stochastic analysis framework for a steel frame structure using wireless sensor system measurements vol.69, 2015, https://doi.org/10.1016/j.measurement.2015.03.022
  12. RTEA: Real-Time and Energy Aware Routing for Industrial Wireless Sensor Networks vol.95, pp.4, 2017, https://doi.org/10.1007/s11277-017-4109-3
  13. Development and Application of a Structural Health Monitoring System Based on Wireless Smart Aggregates vol.17, pp.7, 2017, https://doi.org/10.3390/s17071641
  14. Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring vol.12, pp.1, 2013, https://doi.org/10.1177/1475921712462936
  15. Health monitoring of tension leg platform using wireless sensor networking: experimental investigations 2018, https://doi.org/10.1007/s00773-018-0531-9
  16. Industrial Pipe-Rack Health Monitoring System Based on Reliable-Secure Wireless Sensor Network vol.8, pp.10, 2012, https://doi.org/10.1155/2012/641391
  17. A two-phase ranging algorithm for sensor localization in structural health monitoring vol.9, pp.1, 2017, https://doi.org/10.1177/1687814016685964
  18. Non-Line-of-Sight Beacon Identification for Sensor Localization vol.8, pp.8, 2012, https://doi.org/10.1155/2012/459590
  19. Smartphone-Based Mobile Testing Technique for Quick Bridge Cable–Force Measurement vol.22, pp.4, 2017, https://doi.org/10.1061/(ASCE)BE.1943-5592.0001011
  20. Bridge continuous deformation measurement technology based on fiber optic gyro vol.6, pp.1, 2016, https://doi.org/10.1007/s13320-015-0276-6
  21. Statistics based localized damage detection using vibration response vol.14, pp.2, 2014, https://doi.org/10.12989/sss.2014.14.2.085
  22. Wireless Sensing and Vibration Control With Increased Redundancy and Robustness Design vol.44, pp.11, 2014, https://doi.org/10.1109/TCYB.2014.2306811
  23. Compressive sensing-based lost data recovery of fast-moving wireless sensing for structural health monitoring vol.22, pp.3, 2015, https://doi.org/10.1002/stc.1681
  24. A low-noise, real-time, wireless data acquisition system for structural monitoring applications vol.21, pp.7, 2014, https://doi.org/10.1002/stc.1636
  25. A Bridge Health Monitoring System Based on Wireless Smart Aggregates vol.578-579, pp.1662-7482, 2014, https://doi.org/10.4028/www.scientific.net/AMM.578-579.1138
  26. Cross-correlation-based algorithm for absolute stress evaluation in steel members using the longitudinal critically refracted wave vol.14, pp.10, 2018, https://doi.org/10.1177/1550147718803312
  27. Field measurement system based on a wireless sensor network for the wind load on spatial structures: Design, experimental, and field validation vol.25, pp.9, 2018, https://doi.org/10.1002/stc.2192
  28. Determining Structural Resonance Frequency via Low-Cost Micro-Electromechanical Systems vol.43, pp.suppl1, 2010, https://doi.org/10.1007/s40996-018-0188-y
  29. Design and validation of a fast wireless low-frequency vibration inspection system for offshore platform structures vol.39, pp.3, 2020, https://doi.org/10.1177/1461348419841252
  30. Design and Validation of a Scalable, Reconfigurable and Low-Cost Structural Health Monitoring System vol.21, pp.2, 2021, https://doi.org/10.3390/s21020648