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Burst Analysis of Water Supply Pipe Based on Hydrodynamic Simulation

Author

Listed:
  • Wang Pengfei

    (Huazhong University of Science and Technology)

  • Jiang Zhiqiang

    (Huazhong University of Science and Technology)

  • Duan Jiefeng

    (Huazhong University of Science and Technology)

Abstract

The safe and stable operation of the urban water supply network system is vital for the development of the city and people's daily life. However, the aging and damage of some pipelines are inevitable as time passed by. Accidents, such as pipe bursting, will happen if the maintenance is not timely or not in place. Aiming at the emergency event of the water supply pipe network burst, this paper took the main water supply line of Shenzhen North Line as an example, and established a one-dimensional (1D) hydrodynamic model suitable for both pressurized water flow and free surface water flow. The rationality and effectiveness of the model were verified through the analysis of the simulation results (water level, flow, water head, etc. at each section) under normal conditions. The 1D hydrodynamic pipe network model under burst conditions was constructed based on the normal conditions. The flow stability time of the burst position obtained by the model is 24100 s in which the water supply flow is reduced to 0m3/s after the pipe burst, and flow stability time of the pipe section is positively correlated with the distance of the pipe section according to entrance. By assuming different burst sections, the correlation between the distance of the inlet section of the burst stability time pipeline after the burst at different positions was simulated. The research results can provide strong data support for emergency maintenance decisions if a pipe burst has happened and it also provides an idea for the hydrodynamic modeling of pipeline network emergencies.

Suggested Citation

  • Wang Pengfei & Jiang Zhiqiang & Duan Jiefeng, 2023. "Burst Analysis of Water Supply Pipe Based on Hydrodynamic Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2161-2179, March.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:5:d:10.1007_s11269-023-03485-1
    DOI: 10.1007/s11269-023-03485-1
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    References listed on IDEAS

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    1. Michalis Fragiadakis & Symeon Christodoulou & Dimitrios Vamvatsikos, 2013. "Reliability Assessment of Urban Water Distribution Networks Under Seismic Loads," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3739-3764, August.
    2. Suiling Wang & Zhiqiang Jiang & Yi Liu, 2022. "Dimensionality Reduction Method of Dynamic Programming under Hourly Scale and Its Application in Optimal Scheduling of Reservoir Flood Control," Energies, MDPI, vol. 15(3), pages 1-17, January.
    3. Elias Farah & Isam Shahrour, 2017. "Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4821-4833, December.
    4. Lei Zhang & Zhiqiang Jiang & Shanshan He & Jiefeng Duan & Pengfei Wang & Ting Zhou, 2022. "Study on Water Quality Prediction of Urban Reservoir by Coupled CEEMDAN Decomposition and LSTM Neural Network Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3715-3735, August.
    5. Sehyeong Kim & Sanghoon Jun & Donghwi Jung, 2022. "Ensemble CNN Model for Effective Pipe Burst Detection in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5049-5061, October.
    6. Caspar V. C. Geelen & Doekle R. Yntema & Jaap Molenaar & Karel J. Keesman, 2021. "Burst Detection by Water Demand Nowcasting Based on Exogenous Sensors," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(4), pages 1183-1196, March.
    7. Juan Li & Wenjun Zheng & Changgang Lu, 2022. "An Accurate Leakage Localization Method for Water Supply Network Based on Deep Learning Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2309-2325, May.
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