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Uncertainty Analysis of Transient Flow Modeling and Transient-Based Leak Detection in Elastic Water Pipeline Systems

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  • Huan-Feng Duan

Abstract

In the transient flow modeling and analysis of practical water pipeline systems, discrepancies commonly exist between numerical simulation results and experimental measurement data. Such discrepancies are usually accounted for the inaccuracy and inadequacy of the used mathematical models and/or the lack of understanding of the hydrodynamic physics for transient pipe flows in the literature. However, the variability or uncertainty of the parameters for such numerical model inputs may also attribute to these discrepancies, especially in complex pipeline systems. This paper investigates the effects of different system uncertainties on the transient flow modeling and analysis such as pipe system design and leak detection. Different factors of pipe and fluid properties as well as system operations and complexities are considered for the uncertainty analysis. The one-dimensional (1D) water hammer model and the Monte-Carlo simulation (MCS) method are used in this investigation. The analysis results in this study demonstrate that the variability of the transient flow modeling can be easily affected by the uncertainty factors of wave speed and system complexities, while the transient-based leak detection is more sensitive to the uncertainty factors of wave speed and data measurement than the factors of valve operation and initial hydraulic condition. Copyright Springer Science+Business Media Dordrecht 2015

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  • Huan-Feng Duan, 2015. "Uncertainty Analysis of Transient Flow Modeling and Transient-Based Leak Detection in Elastic Water Pipeline Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5413-5427, November.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:14:p:5413-5427
    DOI: 10.1007/s11269-015-1126-4
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    References listed on IDEAS

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    6. Ali Haghighi & Helena Ramos, 2012. "Detection of Leakage Freshwater and Friction Factor Calibration in Drinking Networks Using Central Force Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2347-2363, June.
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    Cited by:

    1. Huan-Feng Duan, 2018. "Accuracy and Sensitivity Evaluation of TFR Method for Leak Detection in Multiple-Pipeline Water Supply Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2147-2164, April.
    2. Sang Hyun Kim, 2017. "Multiple Leakage Function for a Simple Pipeline System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2659-2673, July.
    3. Sanghyun Kim, 2016. "Impedance Method for Abnormality Detection of a Branched Pipeline System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1101-1115, February.
    4. Zhe Lu & Yuntong She & Mark Loewen, 2017. "A Sensitivity Analysis of a Computer Model-Based Leak Detection System for Oil Pipelines," Energies, MDPI, vol. 10(8), pages 1-17, August.
    5. Caterina Capponi & Silvia Meniconi & Pedro J. Lee & Bruno Brunone & Marco Cifrodelli, 2020. "Time-domain Analysis of Laboratory Experiments on the Transient Pressure Damping in a Leaky Polymeric Pipe," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 501-514, January.
    6. Yuan Huang & Huan-Feng Duan & Ming Zhao & Qingzhou Zhang & Hongbin Zhao & Ke Zhang, 2017. "Transient Influence Zone Based Decomposition of Water Distribution Networks for Efficient Transient Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1915-1929, April.

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