Experimental Investigation into the Influence of Backfill Types on the Vibro-acoustic Characteristics of Leaks in MDPE Pipe

Butterfield, Joseph D.; Collins, Richard; Krynkin, Anton; Beck, S.B.M.

doi:10.1016/j.proeng.2017.03.252

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…The ground conditions have been shown to have a strong influence on the leak signal. 3,4 Slight changes to the test conditions are possible through changes in loading, soil hydraulics and flow resistance which can have an influence on leakage dynamics. 43 As the accelerometer is in contact with the pipe wall, the effect of ground conditions may be more paramount and therefore may interrupt with the signal.…”

Section: Discussionmentioning

confidence: 99%

“…A number of factors have been shown to influence a leak signal and therefore vary the efficacy of leak noise correlators. Some of these factors have been investigated in the literature, including leak flow rate, backfill, pipe material, 2–4 among others. The leak’s vibro-acoustic emission (VAE) is determined by all of the aforementioned parameters and therefore it may be possible to use the leak signal to predict both the leak flow rate 2 and leak area.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of leak flow rate in plastic water distribution pipes using vibro-acoustic measurements

Butterfield

Meruane

Collins

et al. 2017

Structural Health Monitoring

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Leakage from water distribution systems is a worldwide issue with consequences including loss of revenue, health and environmental concerns. Leaks have typically been found through leak noise correlation by placing sensors either side of the leak and recording and analysing its vibro-acoustic emission. While this method is widely used to identify the location of the leak, the sensors also record data that could be related to the leak's flow rate, yet no reliable method exists to predict leak flow rate in water distribution pipes using vibro-acoustic emission. The aim of this research is to predict leak flow rate in medium-density polyethylene pipe using vibro-acoustic emission signals. A novel experimental methodology is presented whereby circular holes of four sizes are tested at several leak flow rates. Following the derivation of a number of features, least squares support vector machines are used in order to predict leak flow rate. The results show a strong correlation highlighting the potential of this technique as a rapid and practical tool for water companies to assess and prioritise leak repair.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of leak flow rate in plastic water distribution pipes using vibro-acoustic measurements

Butterfield

Meruane

Collins

et al. 2017

Structural Health Monitoring

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“…In most studies, a lab or testbed experiment is performed to evaluate the feasibility of the method for use on real distribution networks (Cody, Tolson, et al, 2020; Martini et al, 2018). Overall, the lab and testbed experiments are valuable in studying the properties of leak characteristics like wave speed propagation behavior, pipe wall displacement, the effect of pipe material, the effect of resonance and amplitude distortions, the effect of leak type, soil conditions, and so on (Almeida et al, 2018; Brennan et al, 2019; Butterfield et al, 2017; Butterfield, Collins, et al, 2018). Apart from this, case studies are also reported in the literature to demonstrate the use of sensor technologies in real water networks (Behari & Rahman, 2020; Xue et al, 2020).…”

Section: Leak Sensing Experimentsmentioning

confidence: 99%

“…For this purpose, vast empirical research has been conducted for studying the different aspects of leak detection and localization experimentation and analyses. In the leak detection and localization experiments, the main focus of researchers has been to study (1) the performance of different sensors for various pipe materials and pipe sizes (Bakhtawar & Zayed, 2021; Gao et al, 2009), (2) the effect of various factors like sensor placing, soil properties, leak characteristics like size and shape on leak estimation from the designed experiment (Butterfield et al, 2017; Martini et al, 2017), and (3) the development of new approaches to enhance the accuracy and efficiency of the process (Saqib et al, 2017; Tariq et al, 2022; Xu et al, 2019). In this effort, review studies play an important role in gauging current progress, issues, and future directions.…”

Section: Introductionmentioning

confidence: 99%

State‐of‐the‐art review of leak diagnostic experiments: Toward a smart water network

Bakhtawar

Zayed

2023

WIREs Water

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Effective water pipeline leak detection and localization can help water practitioners save water losses and reduce pipe rehabilitation budgets. Different sensing technologies can provide essential data aiding model development for predicting future leaks in the water distribution networks. Solutions for applying different sensing technologies to real water distribution networks are being developed for real‐time data collection, precise leak localization, reducing false alarms, and continuous pipeline monitoring. Experiments of different scales and specifications have been conducted to test the application and effectiveness of sensing technologies for leak diagnosis in water pipelines. Quality data collection is especially crucial for the successful implementation of these experiments. However, practitioners need help designing effective leak detection and localization experiments, wasting time, and resources. There needs to be a greater understanding of the design parameters for more accurate testing, such as sensor selection, sensor placement, ambient noise sources, and system operations. The current study, therefore, delineates design parameters for design leak diagnosis experiments for lab, testbed, and real networks. For application in real water networks, expert opinion is used to help identify the benefits and limitations and the implementation issues of available sensing technologies. An example experiment design using multi‐sensing technologies for smart leak diagnostics in Hong Kong is also presented. The study can guide water practitioners and researchers to design a multi‐sensing leak diagnostic experiments enabling a smart and sustainable utility management.This article is categorized under: Engineering Water > Methods Engineering Water > Sustainable Engineering of Water Science of Water > Water Extremes

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A step towards the live identification of pipe obstructions with the use of passive acoustic emission and supervised machine learning

Hefft

Alberini

2020

Biosystems Engineering

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Experimental Investigation into the Influence of Backfill Types on the Vibro-acoustic Characteristics of Leaks in MDPE Pipe

Cited by 5 publications

References 12 publications

Prediction of leak flow rate in plastic water distribution pipes using vibro-acoustic measurements

Prediction of leak flow rate in plastic water distribution pipes using vibro-acoustic measurements

State‐of‐the‐art review of leak diagnostic experiments: Toward a smart water network

A step towards the live identification of pipe obstructions with the use of passive acoustic emission and supervised machine learning

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