The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/d6a063f7-aca9-4322-923e-cce5b30dd103

Ferreira, João Paulo; Ferras, David; Covas, Didia; Kapelan, Zoran (2024): Data on testing AirSWMM(v2.0) in water supply networks during pipe filling events. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d6a063f7-aca9-4322-923e-cce5b30dd103.v1

Dataset

• Civil Engineering
• Engineering

Air pocket entrapment, Air–water interface interaction, Flow visualisation and imaging, Intermittent water supply, Stormwater management model (SWMM), Water pipelines

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by João Paulo Ferreira , David Ferras , Didia Covas , Zoran Kapelan

Intermittent water supply systems are prone to air entrapments during the pipe-filling phase. This work aims to analyse and discuss the numerical results obtained by applying the recently developed AirSWMM model, an extension of SWMM incorporating air phase, to a laboratory network. Experimental data consisting of pressure-head at multiple locations and video recordings of air entrapments are collected in a single loop network with a high point, for different pipe-filling conditions, system layouts and node elevations. Experimental tests have shown that the air entrapment occurred not only at the high point but also throughout the pipe network, creating air pockets with elongated shapes and larger volumes than for single pipes. AirSWWM model with air-entrapment formation, growth and transport is tested in

the pipe network, and results are compared with measurements. AirSWWM model can correctly locate large air pockets but underestimates their volume.

• 2024-07-08 first online, published, posted

4TU.ResearchData

.txt, .csv, .mp4

Air entrapment modelling in water supply networks during pipe filling events

• New modelling paradigm for improved intermittent supply system modelling (grant code SFRH/BD/146709/2019) Fundação da Ciência e Tecnologia (FCT)

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management