An investigation into the factors affecting the bandwidth of measured leak noise in buried plastic water pipes
An investigation into the factors affecting the bandwidth of measured leak noise in buried plastic water pipes
Inspection and preservation of buried water pipelines is of importance in the modern world. The wastage of water due to leaks is a global problem and existing technologies/methods to detect leaks in buried pipelines still face challenges, such as how to predict the bandwidth of measured leak noise using acoustic correlators, and what are the main factors affecting this frequency range. The leak noise bandwidth is useful information for operators to know before carrying out tests in the field, and currently there is no practical way of predicting this frequency range. This paper presents an approach to predict the bandwidth and investigates the main factors affecting it such as the distance between the sensors, wave speed and attenuation of the fluid-dominated wave, which is the main carrier of leak noise. To achieve this, a water-pipe-soil-sensor model is represented in terms of filters, allowing an investigation into the corresponding physical/geometric characteristics that affect the bandwidth of the measured leak noise. It is shown that the dominant factors are the material and geometry of the pipe, the properties of the surrounding soil and the type of transducer used.
Leak noise bandwidth, Buried pipelines, Vibro-acoustic correlators, Water distribution systems
Scussel, Oscar
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Brennan, Michael
87c7bca3-a9e5-46aa-9153-34c712355a13
De Almeida, Fabricio Cesar Lobato
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Iwanaga, Mauricio
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Muggleton, Jennifer
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Joseph, Phillip
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Gao, Yan
e46455ac-b265-4982-b2f5-4024d386504e
Scussel, Oscar
8053c543-be90-460c-83ed-4e3844074c93
Brennan, Michael
87c7bca3-a9e5-46aa-9153-34c712355a13
De Almeida, Fabricio Cesar Lobato
1ac9a75f-cdad-417f-a010-3cc6d30ef3a1
Iwanaga, Mauricio
826b17e6-1c84-438e-820e-194720249dfc
Muggleton, Jennifer
2298700d-8ec7-4241-828a-1a1c5c36ecb5
Joseph, Phillip
9c30491e-8464-4c9a-8723-2abc62bdf75d
Gao, Yan
e46455ac-b265-4982-b2f5-4024d386504e
Scussel, Oscar, Brennan, Michael, De Almeida, Fabricio Cesar Lobato, Iwanaga, Mauricio, Muggleton, Jennifer, Joseph, Phillip and Gao, Yan
(2022)
An investigation into the factors affecting the bandwidth of measured leak noise in buried plastic water pipes.
In Recent Trends in Wave Mechanics and Vibrations.
8 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Inspection and preservation of buried water pipelines is of importance in the modern world. The wastage of water due to leaks is a global problem and existing technologies/methods to detect leaks in buried pipelines still face challenges, such as how to predict the bandwidth of measured leak noise using acoustic correlators, and what are the main factors affecting this frequency range. The leak noise bandwidth is useful information for operators to know before carrying out tests in the field, and currently there is no practical way of predicting this frequency range. This paper presents an approach to predict the bandwidth and investigates the main factors affecting it such as the distance between the sensors, wave speed and attenuation of the fluid-dominated wave, which is the main carrier of leak noise. To achieve this, a water-pipe-soil-sensor model is represented in terms of filters, allowing an investigation into the corresponding physical/geometric characteristics that affect the bandwidth of the measured leak noise. It is shown that the dominant factors are the material and geometry of the pipe, the properties of the surrounding soil and the type of transducer used.
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More information
Accepted/In Press date: 4 July 2022
e-pub ahead of print date: 7 October 2022
Venue - Dates:
Proceedings 10th International Conference on Wave Mechanics and Vibrations, , Lisbon, Portugal, 2022-07-04 - 2022-07-06
Keywords:
Leak noise bandwidth, Buried pipelines, Vibro-acoustic correlators, Water distribution systems
Identifiers
Local EPrints ID: 473466
URI: http://eprints.soton.ac.uk/id/eprint/473466
PURE UUID: 1b0dabd3-ff3b-43f6-ad49-6d2d7c340257
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Date deposited: 19 Jan 2023 17:34
Last modified: 17 Mar 2024 04:11
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Contributors
Author:
Michael Brennan
Author:
Fabricio Cesar Lobato De Almeida
Author:
Mauricio Iwanaga
Author:
Yan Gao
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