Watts, J. orcid.org/0000-0002-0411-8976 and Horoshenkov, K. orcid.org/0000-0002-6188-0369 (2025) Detecting defects in rising mains using the acoustic fluid velocity. Measurement, 253 (Part D). 117702. ISSN 0263-2241
Abstract
It is a serious challenge to detect wall damage in live rising mains that transport wastewater along flat or elevated sections of the sewer pipe network. This work proposes a novel method that uses the acoustic velocity vector in the fluid to detect the onset of wall defects in a ductile iron rising main. Numerical simulations are performed to show that this acoustic velocity vector is more sensitive to the presence of a wall defect than the acoustic pressure or wall acceleration traditionally measured in fluid-filled pipes. The method can detect internal and external wall loss and small (0.020–0.025 m) wall perforations. An adapted triaxial accelerometer is used to demonstrate experimentally the method on an exhumed section of a 0.31 m diameter ductile iron pipe. It is shown that the radial and horizontal components of the acoustic velocity vector are particularly sensitive to the presence of small wall perforations. The proposed acoustic velocity sensor can be easily deployed on a mobile pipe inspection robot with a collocated or remote source of sound.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Measurement is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Leak detection; Asset management; Acoustic velocity vector; Rising mains; Buried pipes; Robotic inspection |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 May 2025 13:40 |
Last Modified: | 20 May 2025 09:34 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.measurement.2025.117702 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:226778 |