Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/66280
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Type: Conference paper
Title: Internal wall condition assessment for water pipelines using inverse transient analysis
Author: Stephens, M.
Simpson, A.
Lambert, M.
Citation: WDSA 2008: Proceedings of the 10th Annual Water Distribution Systems Analysis Conference, August 17-20, 2008, Kruger National Park, South Africa / K. Van Zyl (ed.): pp. 911-921
Publisher: American Society of Civil Engineers
Issue Date: 2008
ISBN: 9780784410240
Conference Name: Annual Symposium on Water Distribution Systems Analysis (10th : 2008 : Kruger National Park, South Africa)
Statement of
Responsibility: 
M. L. Stephens, A. R. Simpson and M. F. Lambert
Abstract: A methodology for determining the wall condition of water pipelines, by using an inverse transient model to interpret the measured response of the pipeline to deliberately induced controlled transients is presented. Changes in pipe wall lining and thickness theoretically give rise to reflections in measured transient responses and these can be interpreted to assess pipeline wall condition. The results of field tests on a 750mm diameter pipeline, containing reflections from a damaged section of pipeline, are presented. A distribution of known damage (determined from CCTV camera footage) and inferred damage is characterised in terms of four categories of wall deterioration. This distribution of damage is then included in a transient model of the pipeline and the measured and predicted reflection response are found to compare favourably. The transient model is then combined with a Genetic Algorithm and inverse transient analysis is performed using transient data generated from a distribution of known, inferred and arbitrary damage. The inverse transient analysis relatively accurately predicts the pre-determined distribution of damage along the pipeline.
Rights: © ASCE 2009
RMID: 0020110241
DOI: 10.1061/41024(340)80
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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