Abstract

The leak detection of water supply pipelines is significant for the protection of water resources. Acoustic detection is a common method used to investigate water supply pipeline leaks. Although some acoustic methods for the leak detection of the water supply pipeline have been developed experimentally, the theoretical investigation of said acoustic methods is still limited. Compared with aeroacoustics, the development of quantitative jet acoustic theory towards flow field calculations of liquid pipeline leak has not been reported, and the characteristics of the liquid flow field cannot be quantitatively transformed into the acoustic model. In this paper, the liquid pipeline leak is combined with piston acoustics, and the acoustic model for the leak detection of the water supply pipeline is quantitatively studied for the first time. The acoustic pressure value can be directly calculated using pipe and liquid parameters, and the validity of the model can be verified experimentally. Based on theoretical and experimental investigations, it is found that the leak sound pressure increases significantly with increasing pipeline pressure and decreases with increasing detection distance. The material composition of the pipes has little influence on the leak sound pressure. The theoretical values based on the proposed acoustic model and the experimental values agree well, where the maximum difference between them is 8.5% and the average difference is 2.6%. This study presents a foundation for the development of acoustic leak detection technology of the liquid pipeline.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

Project supported by the National Natural Science Foundation of China (Grant No. 11874126), and the Leading Talents of Guangdong Province Program.

References

Alsaydalani, M. 2017. “Influence of cavitation phenomenon on the hydraulic behavior of leaks in water distribution systems.” J. Water Supply Res. Technol. AQUA 66 (5): 327–339. https://doi.org/10.2166/aqua.2017.013.
Ben, R., M. Habib, A. Khalifa, K. Youcef, and D. Chatzigeorgiou. 2012. “Computational fluid dynamic simulation of small leaks in water pipelines for direct leak pressure transduction.” Comput. Fluids 57 (Mar): 110–123. https://doi.org/10.1016/j.compfluid.2011.12.016.
Brennan, M., F. Kroll, F. De, P. Joseph, and A. Paschoalini. 2015. “A virtual pipe rig for testing acoustic leak detection correlators: Proof of concept.” Appl. Acoust. 102 (Jan): 137–145. https://doi.org/10.1016/j.apacoust.2015.09.015.
Brunone, B., C. Capponi, and S. Meniconi. 2021. “Design criteria and performance analysis of a smart portable device for leak detection in water transmission mains.” Measurement 183 (2021): 109844. https://doi.org/10.1016/j.measurement.2021.109844.
Chatzigeorgiou, D., K. Youcef, and R. Ben. 2015. “Design of a novel in-pipe reliable leak detector.” IEEE/ASME Trans. Mechatron. 20 (2): 824–833. https://doi.org/10.1109/TMECH.2014.2308145.
Didem, O., and H. James. 2012. “Novel leak localization in pressurized pipeline networks using acoustic emission and geometric connectivity.” Int. J. Press. Vessels Pip. 92 (2012): 82–83. https://doi.org/10.1016/j.ijpvp.2012.01.001.
Dowling, A., and T. Hynes. 2004. “Sound generation by turbulence.” Eur. J. Mech. B Fluids 23 (3): 491–500. https://doi.org/10.1016/j.euromechflu.2003.10.014.
Du, G., Z. Zhu, and X. Gong. 2004. Acoustic fundamentals, 224–225. Beijing: Science Press.
Fuchs, H., and R. Riehle. 1991. “10 years of experience with leak detection by acoustic signal analysis.” Appl. Acoust. 33 (1): 1–19. https://doi.org/10.1016/0003-682X(91)90062-J.
Guo, S. X. 2015. Study on key technique of small leakage detection based on spherical leak detector for the long-distance oil pipeline. [In Chinese.] Tianjin, China: Tianjin Univ.
Hou, C., and E. Zhang. 2012. “Pipeline leak detection based on double sensor negative pressure wave.” Appl. Mech. Mater. 313–314 (2013): 1225–1228.
Juliano, T. M., J. N. Meegoda, and W. J. Daniel. 2012. “Acoustic emission leak detection on a metal pipeline buried in sandy soil.” J. Pipeline Syst. Eng. Pract. 4 (3): 149–155. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000134.
Khalifa, A. 2015. “Pressure variation and effective sensing zone around small leaks inside water pipelines for reliable leak detection.” Proc. Inst. Mech. Eng., Part E: J. Process Mech. Eng. 231 (3): 590–599. https://doi.org/10.1177/0954408915618586.
Khalifa, A., R. Ben, K. Youcef, and C. Choi. 2011 “Characterization of in-pipe acoustic wave for water leak detection.” In Proc., ASME 2011 Int. Mechanical Engineering Congress and Exposition, 995–1000. Denver: American Society of Mechanical Engineers.
Khulief, Y., A. Khalifa, R. Mansour, and M. Habib. 2012. “Acoustic detection of leaks in water pipelines using measurements inside pipe.” J. Pipeline Syst. Eng. Pract. 3 (2): 47–54. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000089.
Lighthill, M. 1952. “On sound generated aerodynamically. I. General theory.” Proc. R. Soc. London, Ser. A 211 (1107): 564–587. https://doi.org/10.1098/rspa.1952.0060.
Meniconi, S., C. Capponi, M. Frisinghelli, and B. Brunone. 2021. “Leak detection in a real transmission main through transient tests: Deeds and misdeeds.” Water Resour. Res. 57 (3): e2020WR027838. https://doi.org/10.1029/2020WR027838.
Morse, P., and K. Ingard. 1984. Theoretical acoustics, 449–451. Beijing: Science Press.
Muntakim, A., A. Dhar, and R. Dey. 2017. “Interpretation of acoustic field data for leak detection in ductile iron and copper water-distribution pipes.” J. Pipeline Syst. Eng. Pract. 8 (3): 05017001. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000257.
Osama, H., W. Chu, A. Wang, and W. Guan. 2000. “Detecting leaks in plastic pipes.” J. Am. Water Works Assn. 92 (2): 82–94. https://doi.org/10.1002/j.1551-8833.2000.tb08819.x.
Ozevin, D., and Y. Hazim. 2014. “New leak localization approach in pipelines using single-point measurement.” J. Pipeline Syst. Eng. Pract. 5 (2): 04013020. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000163.
Papastefanou, A., P. Joseph, and M. Brennan. 2012. “Experimental investigation into the characteristics of in-pipe leak noise in plastic water filled pipes.” Acta Acust. United Acust. 98 (6): 847–856. https://doi.org/10.3813/AAA.918568.
Pudar, R., and J. Liggett. 1992. “Leak in pipe networks.” J. Hydraul. Eng. 118 (7): 1031–1046. https://doi.org/10.1061/(ASCE)0733-9429(1992)118:7(1031).
Rui, L., H. Huang, K. Xin, and T. Tao. 2015. “A review of methods for burst/leakage detection and location in water distribution systems.” Water Sci. Technol. 15 (3): 429–441. https://doi.org/10.2166/ws.2014.131.
Walski, J. W., and T. M. Male. 2000. Water distribution systems handbook (Chapter 17), 17.5–17.6. Chicago, IL: R. R. Donnelley & Sons Company.
Wang, G., and H. Ye. 2010. Leak detection and location of fluid transport pipeline, 141–142. Beijing: Tsinghua Univ.
Yan, S., H. Yuan, Y. Gao, B. Jin, M. Jennifer, and L. Deng. 2020. “On image fusion of ground surface vibration for mapping and locating underground pipeline leakage: An experimental investigation.” Sensors 20 (7): C1. https://doi.org/10.1109/JSEN.2020.2976675.
Yang, J. 2007. Signal analysis and processing research in water supply pipeline leak detection and location. [In Chinese.] Chongqing, China: Chongqing Univ.
Ye, W., and G. Yu. 2012. “University physics, 84–85. Beijing: Tsinghua University Press.
Zhang, H., J. Ling, S. Dong, L. Zhang, and S. Feng. 2020. “New modification method for safety factor of ASME considering pipeline big data.” J. Pipeline Syst. Eng. Pract. 11 (3): 04020022. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000453.
Zhang, L. 2009. Research on detecting supply water pipeline leaked of hydrophones based on listening sound into water. [In Chinese.] Shenyang, China: Shenyang Univ. of Technology.

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Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 14Issue 1February 2023

History

Received: Feb 15, 2022
Accepted: Aug 11, 2022
Published online: Oct 20, 2022
Published in print: Feb 1, 2023
Discussion open until: Mar 20, 2023

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Ph.D. Student, School of Instrument and Opto-Electronics Engineering, Hefei Univ. of Technology, No. 193 Tunxi Rd., Anhui 230002, China. ORCID: https://orcid.org/0000-0001-6515-1457. Email: [email protected]
Haiming Jiang [email protected]
Professor, State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong Univ. of Technology, Guangzhou 510006, China (corresponding author). Email: [email protected]
Junxi Zhang [email protected]
Professor, School of Instrument and Opto-Electronics Engineering, Hefei Univ. of Technology, No. 193 Tunxi Rd., Anhui 230002, China. Email: [email protected]
Haitao Chen [email protected]
Senior Engineer, Measurement and Test Center, Luoyang Beijing Enterprises Water Group Limited, Henan 471003, China. Email: [email protected]
Undergraduate Student, Dept. of Information and Intelligent Control, Tianjin Renai College, Tianjin 301636, China. ORCID: https://orcid.org/0000-0002-9928-8301. Email: [email protected]
Associate Professor, School of Instrument and Opto-Electronics Engineering, Hefei Univ. of Technology, No. 193 Tunxi Rd., Anhui 230002, China. ORCID: https://orcid.org/0000-0003-1127-2039. Email: [email protected]
Professor, School of Instrument and Opto-Electronics Engineering, Hefei Univ. of Technology, No. 193 Tunxi Rd., Anhui 230002, China. Email: [email protected]
Professor, State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong Univ. of Technology, Guangzhou 510006, China. ORCID: https://orcid.org/0000-0002-6235-2410. Email: [email protected]

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