Modeling Transient Mixed Flows in Drainage Networks With Smoothed Particle Hydrodynamics

Wenke Song (), Hexiang Yan (), Tao Tao (), Mingfu Guan (), Fei Li () and Kunlun Xin ()
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Wenke Song: Tongji University
Hexiang Yan: Tongji University
Tao Tao: Tongji University
Mingfu Guan: The University of Hong Kong
Fei Li: Tongji University
Kunlun Xin: Tongji University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2024, vol. 38, issue 3, No 3, 879 pages

Abstract: Abstract Transitions between free-surface and pressurized flows (transient mixed flows) are common and complex phenomena in urban drainage systems. Currently, the free-surface-pressurized flow models are mainly solved by grid-based numerical schemes, while the application of meshless methods to such problems remains relatively unexplored. Therefore, this study proposes a novel meshless model based on Smoothed Particle Hydrodynamics coupled with the Two-component Pressure Approach (SPH-TPA) to simulate transient mixed flows. To extend the applicability of the SPH-TPA model to drainage networks, a junction boundary model is developed based on the flow regimes in the junction and inflowing/outflowing pipes. Three idealized cases and two experimental cases are investigated for model validation and parameter sensitivity analysis. The results indicate the capability of the SPH-TPA model to deal with various flow conditions and capture transition interfaces accurately. Furthermore, a hypothetical drainage network is applied to evaluate the performance of the SPH-TPA model for simulating mixed flows in complex drainage systems, and the results of the SPH-TPA model demonstrate better accuracy and stability compared to the SWMM (Storm Water Management Model). The proposed SPH-TPA model provides an alternative tool to investigate transient mixed flows in urban drainage systems.

Keywords: Smoothed particle hydrodynamics; Transient mixed flows; Two-component Pressure Approach; Drainage networks (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11269-023-03689-5

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