Abstract
The pressure and flow variations in pipeline systems are extremely sensitive to dynamic operations of the valves. Valve control and propagation of pressure waves along pipelines and their interactions with different pipeline elements introduce pressure transients in pipeline systems. The time series of the pressure head at any designated position depends on boundary conditions such as valve maneuver as well as geometrical and material characteristics of the pipeline system. An innovative method is proposed to calibrate the valve trajectory using pressure head records. The impedance method and particle swarm optimization were integrated with decomposition of convolution between the pressure response function and time series of the valve maneuver. To validate the applicability of this study, the developed method was tested in three hypothetical pipeline systems: a simple reservoir pipeline valve, multiple reservoir pipeline valves, and a complicated pipe network. Decomposition of the transfer function in the time domain and its convolution contributed toward improving the efficiency of the developed method. The successful calibrations of valve actions demonstrate the potential of the proposed scheme as an alternative to conventional flow meters for high-resolution flow rate evaluation.
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References
Al-Omari AS, Chaudhry MH (2001) Unsteady-state inverse chlorine modeling in pipe networks. J Hydraul Eng 127(8):669–677
Araujo LS, Ramos H, Coelho ST (2006) Pressure control for leakage minimization in water distribution systems management. Water Resour Manag 20(1):133–149
Chaudhry MH (2014) Applied hydraulic transients, 3rd edn. Springer, New York
Duan HF (2016) Transient frequency response based leak detection in water supply pipeline systems with branched and looped junctions. J Hydroinf 19(1). doi:https://doi.org/10.2166/hydro.2016.008
Duan HF (2018) Accuracy and sensitivity evaluation of TFR method for leak detection in multiple-pipeline water supply systems. Water Resour Manag 32(6):2147–2164. https://doi.org/10.1007/s11269-018-1923-7
Haghighi A, Ramos HM (2012) Detection of leakage freshwater and friction factor calibration in drinking networks using central force optimization. Water Resour Manag 26(8):2347–2363. https://doi.org/10.1007/s11269-012-0020-6
Kennedy J, Eberhart R (1995) Particle swarm optimization. Proceedings of IEEE International Conference on Neural Networks IV 1942–1948. DOI:https://doi.org/10.1109/ICNN.1995.488968
Kim S (2016) Impedance method for abnormality detection of a branched pipeline system. Water Resour Manag 30(3):1101–1115. https://doi.org/10.1007/s11269-015-1213-6
Liggett JA, Chen L (1994) Inverse transient analysis in pipe networks. J Hydraul Eng 120(8):934–955
Meniconi S, Duan H, Lee P, Brunone B, Ghidaoui M, Ferrante M (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
Meniconi S, Brunone B, Ferrante M, Cappono C, Carrettini CA, Chiesa C, Segalini D, Lanfranchi EA (2015) Anomaly pre-localization in distribution-transmission mains by pump trip: preliminary field tests in the Milan pipe system. J Hydroinf 17(3):377. https://doi.org/10.2166/hydro.2014.038
Suo L, Wylie EB (1989) Impulse response method for frequency-dependent pipeline transients. J Fluids Eng 111(4):478–483
Wood DJ, Lingireddy S, Boulos PF, Karney BW, McPherson DL (2005) Numerical methods for modeling transient flow in distribution system. J Am Water Works Assoc 97(7):104–115
Wylie EB, Streeter VL (1993) Fluid transient in systems. Prentice Hall, Inc, Englewood Cliffs, N. J
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This work was supported by a 2-year Research grant of Pusan National University.
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Kim, S. Valve Maneuver Prediction in Simple and Complicated Pipeline Systems. Water Resour Manage 33, 4671–4685 (2019). https://doi.org/10.1007/s11269-019-02262-3
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DOI: https://doi.org/10.1007/s11269-019-02262-3