Smart Structures and Systems

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Non-invasive acceleration-based methodology for damage detection and assessment of water distribution system

  • Shinozuka, Masanobu (Department of Civil and Environmental Engineering, University of California) ;
  • Chou, Pai H. (Department of Electrical Engineering and Computer Science, University of California) ;
  • Kim, Sehwan (Department of Electrical Engineering and Computer Science, University of California) ;
  • Kim, Hong Rok (Center of Embedded Software Technology) ;
  • Karmakar, Debasis (Department of Civil and Environmental Engineering, University of California) ;
  • Fei, Lu (College of Civil Engineering, Southeast University)
  • Received : 2009.10.15
  • Accepted : 2010.03.18
  • Published : 2010.07.25
⟨ Previous Next ⟩

Abstract

This paper presents the results of a pilot study and verification of a concept of a novel methodology for damage detection and assessment of water distribution system. The unique feature of the proposed noninvasive methodology is the use of accelerometers installed on the pipe surface, instead of pressure sensors that are traditionally installed invasively. Experimental observations show that a sharp change in pressure is always accompanied by a sharp change of pipe surface acceleration at the corresponding locations along the pipe length. Therefore, water pressure-monitoring can be transformed into acceleration-monitoring of the pipe surface. The latter is a significantly more economical alternative due to the use of less expensive sensors such as MEMS (Micro-Electro-Mechanical Systems) or other acceleration sensors. In this scenario, monitoring is made for Maximum Pipe Acceleration Gradient (MPAG) rather than Maximum Water Head Gradient (MWHG). This paper presents the results of a small-scale laboratory experiment that serves as the proof of concept of the proposed technology. The ultimate goal of this study is to improve upon the existing SCADA (Supervisory Control And Data Acquisition) by integrating the proposed non-invasive monitoring techniques to ultimately develop the next generation SCADA system for water distribution systems.

Keywords

References

  1. Bakar, A.A., Din, M.M., Yussof, S., Ghapar, A.A., Rusli, M.E. and Chang G.C. (2007), "Using wireless sensor networks for detecting leakage in water pipes", Proceedings of the ACRS 2007, Asian Association on Remote Sensing (AARS), Kuala Lumpur, Malaysia, November.
  2. Chen, C. and Chou P.H. (2008), "EcoDAQ: A case study of a densely distributed real-time system for high data rate wireless data acquisition", Proceedings of the 14th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Kaohsiung, Taiwan, August. J FLUID ENG-T ASME.
  3. Chen, M.H. (2008), TeleScribe: a scalable resumable mass reprogramming approach, Master's thesis, National Tsing Hua University.
  4. Chou, P.H. (2010), Eco: Ultra-compact wireless sensing system, http://www.ecomote.net/.
  5. Cooley, J.W. and Tukey, J.W. (1965), "An algorithm for the machine calculation of complex fourier series", Math. Comput., 19(90), 297-301. https://doi.org/10.1090/S0025-5718-1965-0178586-1
  6. Evans, R.P., Blotter, J.D. and Stephens, A.G. (2004), "Flow rate measurements using flow-induced pipe vibration", J. Fluid. Eng., 126(2), 280-285. https://doi.org/10.1115/1.1667882
  7. Ferrante, M. and Brunone, B. (2003), "Pipe system diagnosis and leak detection by unsteady-state tests. 1. harmonic analysis", Adv. Water Resour., 26(1), 95-105. https://doi.org/10.1016/S0309-1708(02)00101-X
  8. Furness, R.A. and Reet, J.D. (1998), Pipe line leak detection techniques, Pipe line rules of thumb handbook (Ed. E.W. McAllister), Gulf Professional Publishing, USA.
  9. Gao, Y., Brennan, M.J., Joseph, P.F., Muggleton, J.M. and Hunaidi, O. (2005), "On the selection of acoustic/ vibration sensors for leak detection in plastic water pipes", J. Sound Vib., 283(3-5), 927-941. https://doi.org/10.1016/j.jsv.2004.05.004
  10. HAESTAD Press (2003), HAMMER user's guide, http://www.haestad.com.
  11. Hunaidi, O. and Chu, W.T. (1999), "Acoustical characteristics of leak signals in plastic water distribution pipes", J. Appl. Acoust., 58, 235-254. https://doi.org/10.1016/S0003-682X(99)00013-4
  12. Jin, Y. and Eydgahi, A. (2008), "Monitoring of distributed pipeline systems by wireless sensor networks", Proceedings of the 2008 IAJC-IJME International Conference.
  13. Liggett, J.A. and Chen L.C. (1994), "Inverse transient analysis in pipe networks", J. Hydraul. Eng.-ASCE, 120(8), 934-955. https://doi.org/10.1061/(ASCE)0733-9429(1994)120:8(934)
  14. Liou, C.P. and Tian J. (1995), "Leak detection: transient flow simulation approach", J. Energ. Resour. Technol., 117(3), 243-248. https://doi.org/10.1115/1.2835348
  15. Park, C. and Chou, P.H. (2006), "Eco: ultra-wearable and expandable wireless sensor platform", Proceedings of the Third International Workshop on Body Sensor Networks, MIT Media Lab, April.
  16. Shinozuka, M., Chou, P.H., Kim, S., Kim, H.R., Yoon, E., Mustafa, H., Karmakar, D. and Pul, S. (2010), "Nondestructive monitoring of a pipe network using a MEMS-based wireless network", Proceedings of the SPIE Conference on Smart Structures & Materials/NDE, San Diego, CA.
  17. Shinozuka, M. and Dong, X. (2005), "Evaluation of hydraulic transients and damage detection in water system under a disaster event", Proceedings of the 3rd US-Japan Workshop on Water System Seismic Practices, Kobe, Japan, January.
  18. Stoianov, I., Maksimovic, C. and Graham, N.J.D. (2003), "Designing a continuous monitoring system for transmission Pipelines", Proceedings of the CCWI 2003, Advances in Water Supply Management Conference, London, UK.
  19. Stoianov, I., Nachman, L. and Madden, S. (2007), "PIPENET: A wireless sensor network for pipeline monitoring", Proceedings of the 6th International Conference on Information Processing in Sensor Networks, Cambridge, Massachusetts, USA, April.
  20. Stoianov, I., Nachman, L., Whittle, A., Madden, S. and Kling, R. (2006), "Sensor networks for monitoring water supply and sewer systems: Lessons from Boston", Proceedings of the 8th Annual Water Distribution Systems Analysis Symposium.
  21. Wang, X.J., Lambert, M.F., Simpson, A.R., Liggett, J.A. and Vitkovsky, J.P. (2002), "Leak detection in pipelines using the damping of fluid transients", J. Hydraul. Eng.-ASCE, 128(7), 697-711. https://doi.org/10.1061/(ASCE)0733-9429(2002)128:7(697)
  22. Yoo, S.M., Chen, C.J. and Chou, P.H. (2009), "Low-complexity, high-throughput multiple-access wireless protocol for body area networks", Proceedings of the Body Sensor Networks, Berkeley, CA, USA, June.

Cited by

  1. Long term monitoring of a cable stayed bridge using DuraMote vol.11, pp.5, 2013, https://doi.org/10.12989/sss.2013.11.5.453
  2. Sparse representation of ultrasonic guided-waves for robust damage detection in pipelines under varying environmental and operational conditions vol.23, pp.2, 2016, https://doi.org/10.1002/stc.1776
  3. A digital output accelerometer using MEMS-based piezoelectric accelerometers and arrayed CMOS inverters with satellite capacitors vol.20, pp.6, 2011, https://doi.org/10.1088/0964-1726/20/6/065017
  4. Real-time remote monitoring: the DuraMote platform and experiments towards future, advanced, large-scale SCADA systems vol.11, pp.4, 2015, https://doi.org/10.1080/15732479.2014.951861
  5. Novel vibration-based technique for detecting water pipeline leakage vol.13, pp.6, 2017, https://doi.org/10.1080/15732479.2016.1188318
  6. Bayesian forecasting approach for structure response prediction and load effect separation of a revolving auditorium vol.24, pp.4, 2010, https://doi.org/10.12989/sss.2019.24.4.507
  7. Linear Prediction for Leak Detection in Water Distribution Networks vol.11, pp.1, 2010, https://doi.org/10.1061/(asce)ps.1949-1204.0000415
  8. Sustainability Analysis of a Leakage-Monitoring Technique for Water Pipeline Networks vol.11, pp.1, 2020, https://doi.org/10.1061/(asce)ps.1949-1204.0000425
  9. 배관 체계 자율 복구 알고리즘 비교, 분석 및 고찰 vol.36, pp.4, 2010, https://doi.org/10.14346/jkosos.2021.36.4.1