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Type: Conference paper
Title: Detection of extended blockages in pressurised pipelines using hydraulic transients with a layer-peeling method
Author: Zeng, W.
Gong, J.
Lambert, M.
Simpson, A.
Cazzolato, B.S.
Zecchin, A.
Citation: IOP Conference Series : Earth and Environmental Science, 2018, vol.240, iss.5, pp.052019-1-052019-7
Publisher: IOP Publishing
Publisher Place: online
Issue Date: 2018
Series/Report no.: IOP Conference Series-Earth and Environmental Science
ISSN: 1755-1307
Conference Name: IAHR Symposium on Hydraulic Machinery and Systems (17 Sep 2018 - 21 Sep 2018 : Kyoto, Japan)
Statement of
Wei Zeng, Jinzhe Gong, Martin Lambert, Angus Simpson, Benjamin Cazzolato, Aaron Zecchin
Abstract: Water distribution systems (WDSs) are one of society's most important infrastructure assets. They consist of buried pipes that are often old and their condition is extremely difficult and expensive to determine. This research proposes a non-invasive layer-peeling method using hydraulic transient waves to detect extended blockages in pressurised pipelines. In the numerical study, hydraulic transient pressure waves are injected into a pipeline at a dead-end. Wave reflections caused by multiple extended blockages (uniform and non-uniform) are simulated using the method of characteristics (MOC). The impulse response function (IRF) of the pipeline is then obtained using the simulated pressure response at the dead-end. The original layer-peeling method previously applied to tubular music instruments is further developed by considering the differences between the instruments and pressurised pipelines (boundary conditions, fluid properties). Using the IRF and the modified layer-peeling method, the internal pipe diameter values are estimated section by section from the dead-end to the upstream end of the pipeline. The blocked pipe sections are then accurately identified from the reconstructed pipe wall thickness distribution profile.
Rights: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd
DOI: 10.1088/1755-1315/240/5/052019
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