Data to incorporate entrapped air pocket dynamics into SWMM (AirSWMMv2.0)

doi: 10.4121/e0ab23e8-a19e-483a-b45a-8df9de4232bf.v1
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/e0ab23e8-a19e-483a-b45a-8df9de4232bf
Datacite citation style:
Ferreira, João Paulo; Ferras, David; Covas, Didia; Kapelan, Zoran (2024): Data to incorporate entrapped air pocket dynamics into SWMM (AirSWMMv2.0). Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e0ab23e8-a19e-483a-b45a-8df9de4232bf.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The paper proposes a novel methodology to locate and quantify entrapped air pockets created during pipe-filling events often found in intermittent water supply systems. Different filling conditions were tested in an experimental pipe with a high point. Measurements were taken and video recordings were carried out to assess air pocket volumes for different air release conditions at the downstream end of the pipe. The stochastic nature of air pocket creation resulted in varying air volumes. A new numerical model capable of simulating the air pocket creation, dragging and entrainment has been proposed. The new model, AirSWMM, was implemented as an extension of the Stormwater Management Model (SWMM) with stochasticity of air pocket formation reproduced by simulations with different air entrainment rates. The obtained numerical results show that the proposed model, even though based on a single-phase one-dimensional flow, can accurately locate and approximately quantify the entrapped air pocket volumes

history
  • 2024-07-08 first online, published, posted
publisher
4TU.ResearchData
format
.txt, .csv, mp4
associated peer-reviewed publication
Air entrapment modelling during pipe filling based on SWMM
funding
  • New modelling paradigm for improved intermittent supply system modelling (grant code SFRH/BD/146709/2019) Fundação da Ciência e Tecnologia (FCT)
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management

DATA

files (7)