Transient Simulation and Diagnosis of Partial Blockage in Long-Distance Water Supply Pipeline Systems
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 12, Issue 3
Abstract
A partial blockage usually results in undesirable consequences for long-distance conduits. In order to study the disturbance of partial blockages on transient responses, a numerical model was developed to simulate a partial blockage based on the traditional method of characteristics (MOC). The transient responses were simulated using the proposed numerical model for the water supply conduit with a partial blockage. Based on the equivalent resistance conditions, the distribution of extreme pressures was compared to reveal the disturbance characteristics of the partial blockage. The simulation results show that the disturbance of the extreme pressure is the strongest around the blockage site, and decreases linearly with the distance to the blockage. Subsequently, a diagnosis model was established to detect the zone and the intension of the partial blockage, based on the distribution of the extreme pressures of the transient responses. The results show that the diagnosis model has good performances, irrespective of locations or intensions, with a maximum error of about 2%. The proposed approach can be properly used to detect the zone and the intension of the partial blockage in a single long-distance conduit.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (Nos. 51779216 and 51279175) and the Zhejiang Provincial Natural Science Foundation of China (Grant No. LZ16E090001).
References
Besancon, G., I. R. Scola, M. Guillen, J. F. Dulhoste, R. Santos, and D. Georges. 2013. “Observer-based detection and location of partial blockages in pipelines.” In Proc., 2013 2nd Int. Conf. on Control and Fault-Tolerant Systems, 694–699. New York: IEEE.
Chaudhry, M. 1987. Applied hydraulic transients. New York: Van Nostrana Reinhold.
Deepak, B., M. Bahubalendruni, and B. B. Biswal. 2016. “Development of in-pipe robots for inspection and cleaning tasks Survey, classification and comparison.” Int. J. Intell. Unmanned Syst. 4 (3): 182–210. https://doi.org/10.1108/IJIUS-07-2016-0004.
Guo, X. L., K. L. Yang, F. T. Li, T. Wang, and H. Fu. 2012. “Analysis of first transient pressure oscillation for leak detection in a single pipeline.” J. Hydrodyn. 24 (3): 363–370. https://doi.org/10.1016/S1001-6058(11)60256-4.
Hanmaiahgari, P. R., M. Elkholy, and C. K. Riahi-Nezhad. 2017. “Identification of partial blockages in pipelines using genetic algorithms.” Sadhana-Acad. Proc. Eng. Sci. 42 (9): 1543–1556. https://doi.org/10.1007/s12046-017-0707-8.
Hawari, A., M. Alamin, F. Alkadour, M. Elmasry, and T. Zayed. 2018. “Automated defect detection tool for closed circuit television (CCTV) inspected sewer pipelines.” Autom. Constr. 89 (May): 99–109. https://doi.org/10.1016/j.autcon.2018.01.004.
Hu, J. H., J. D. Yang, W. Zeng, and J. B. Yang. 2018. “Transient pressure analysis of a prototype pump turbine: Field tests and simulation.” J. Fluids Eng. Trans. 140 (7): 071102. https://doi.org/10.1115/1.4039258.
Jang, T. U., Y. B. Wu, Y. Xu, and Q. Sun. 2017. “A scheme for improving computational efficiency of quasi-two-dimensional model.” J. Hydrodyn. 29 (2): 243–250. https://doi.org/10.1016/S1001-6058(16)60734-5.
Jiang, Y., H. Chen, and J. Li. 1996. “Leakage and blockage detection in water network of district heating system.” ASHRAE Trans. 102 (1): 291–296.
Jing, L. W., Z. Li, W. J. Wang, A. Dubey, P. Lee, S. Meniconi, B. Brunone, and R. D. Murch. 2018. “An approximate inverse scattering technique for reconstructing blockage profiles in water pipelines using acoustic transients.” J. Acoust. Soc. Am. 143 (5): EL322–EL327. https://doi.org/10.1121/1.5036957.
Kim, D. S., S. Shin, G. B. Choi, K. H. Jang, J. C. Suh, and J. M. Lee. 2017. “Diagnosis of partial blockage in water pipeline using support vector machine with fault-characteristic peaks in frequency domain.” Can. J. Civ. Eng. 44 (9): 707–714. https://doi.org/10.1139/cjce-2016-0615.
Kim, S. 2016. “Impedance method for abnormality detection of a branched pipeline system.” Water Resour. Manage. 30 (3): 1101–1115. https://doi.org/10.1007/s11269-015-1213-6.
Kim, S. H. 2018. “Development of multiple leakage detection method for a reservoir pipeline valve system.” Water Resour. Manage. 32 (6): 2099–2112. https://doi.org/10.1007/s11269-018-1920-x.
Kochupillai, J., N. Ganesan, and C. Padmanabhan. 2005. “A new finite element formulation based on the velocity of flow for water hammer problems.” Int. J. Pressure Vessels Pip. 82 (1): 1–14. https://doi.org/10.1016/j.ijpvp.2004.06.009.
Lee, P. J., J. P. Vitkovsky, M. F. Lambert, A. R. Simpson, and J. A. Liggett. 2008. “Discrete blockage detection in pipelines using the frequency response diagram: Numerical study.” J. Hydraul. Eng. 134 (5): 658–663. https://doi.org/10.1061/(ASCE)0733-9429(2008)134:5(658).
Li, Y. 2018. Partial blockage detection in underground pipe based on guided wave&semi-supervised learning. New York: IEEE.
Meniconi, S., B. Brunone, M. Ferrante, and C. Capponi. 2016. “Mechanism of interaction of pressure waves at a discrete partial blockage.” J. Fluids Struct. 62 (Apr): 33–45. https://doi.org/10.1016/j.jfluidstructs.2015.12.010.
Meniconi, S., H. F. Duan, P. J. Lee, B. Brunone, M. S. Ghidaoui, and M. Ferrante. 2013. “Experimental investigation of coupled frequency and time-domain transient test-based techniques for partial blockage detection in pipelines.” J. Hydraul. Eng. 139 (10): 1033–1040. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000768.
Mohapatra, P. K., M. H. Chaudhry, A. Kassem, and J. Moloo. 2006. “Detection of partial blockages in a branched piping system by the frequency response method.” J. Fluids Eng. Trans. ASME 128 (5): 1106–1114. https://doi.org/10.1115/1.2238880.
Pesendorfer, M., and S. Loew. 2010. “Subsurface exploration and transient pressure testing from a deep tunnel in fractured and karstified limestones (Lotschberg Base Tunnel, Switzerland).” Int. J. Rock Mech. Min. Sci. 47 (1): 121–137. https://doi.org/10.1016/j.ijrmms.2009.09.013.
Sattar, A. M., M. H. Chaudhry, and A. A. Kassem. 2008. “Partial blockage detection in pipelines by frequency response method.” J. Hydraul. Eng. 134 (1): 76–89. https://doi.org/10.1061/(ASCE)0733-9429(2008)134:1(76).
Scott, S. L., and J. Yi. 1999. “Flow testing methods to detect and characterize partial blockages in looped subsea flowlines.” J. Energy Resour. Technol.-Trans. ASME 121 (3): 154–160. https://doi.org/10.1115/1.2795975.
Triki, A. 2014. “Resonance of free-surface waves provoked by floodgate maneuvers.” J. Hydrol. Eng. 19 (6): 1124–1130. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000895.
Wan, W., and W. Huang. 2013. “Investigation of fluid transients in centrifugal pump integrated system with multichannel pressure vessel.” J. Pressure Vessel Technol.-Trans. ASME 135 (6): 061301. https://doi.org/10.1115/1.4024457.
Wan, W., W. Huang, and C. Li. 2014. “Sensitivity analysis for the resistance on the performance of a pressure vessel for water hammer protection.” J. Pressure Vessel Technol.-Trans. ASME 136 (1): 011303. https://doi.org/10.1115/1.4025829.
Wan, W., and B. Zhang. 2018. “Investigation of water hammer protection in water supply pipeline systems using an intelligent self-controlled surge tank.” Energies 11 (6): 1450. https://doi.org/10.3390/en11061450.
Wang, X. J., M. F. Lambert, and A. R. Simpson. 2005. “Detection and location of a partial blockage in a pipeline using damping of fluid transients.” J. Water Resour. Plann. Manage. 131 (3): 244–249. https://doi.org/10.1061/(ASCE)0733-9496(2005)131:3(244).
Wylie, E. B., V. L. Streeter, and L. Suo. 1993. Fluid transients in systems. NJ: Englewood CliffsPrentice Hall.
Yu, X. D., J. Zhang, and D. Miao. 2015. “Innovative closure law for pump-turbines and field test verification.” J. Hydraul. Eng. 141 (3): 05014010. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000976.
Zhang, X. X., Y. G. Cheng, L. S. Xia, and J. D. Yang. 2014. “Dynamic characteristics of a pump-turbine during hydraulic transients of a model pumped-storage system: 3D CFD simulation.” In Vol. 22 of Proc., IOP Conf. Series: Earth and Environmental Science. Bristol, England: IOP Publishing.
Information & Authors
Information
Published In
Journal of Pipeline Systems Engineering and Practice
Volume 12 • Issue 3 • August 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Sep 5, 2019
Accepted: Jan 21, 2021
Published online: Apr 5, 2021
Published in print: Aug 1, 2021
Discussion open until: Sep 5, 2021
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