2017
DOI: 10.1007/978-3-319-55071-8_2
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Embedding Monitoring Systems for Cured-In-Place Pipes

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Cited by 6 publications
(5 citation statements)
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“…Studying pipe vibration is important for utility pipelines because over a long period of time the vibrations can result in fatigue loading and eventually lead to pipe failure. Research has been conducted to measure fluid flow in utility pipelines using accelerometers [4][5][6][7][8][9][10]. The study of vibration in flexible pipe like a fire hose has received much less attention.…”
Section: Background Literaturementioning
confidence: 99%
“…Studying pipe vibration is important for utility pipelines because over a long period of time the vibrations can result in fatigue loading and eventually lead to pipe failure. Research has been conducted to measure fluid flow in utility pipelines using accelerometers [4][5][6][7][8][9][10]. The study of vibration in flexible pipe like a fire hose has received much less attention.…”
Section: Background Literaturementioning
confidence: 99%
“…18) [23]. The decreasing trend at higher flow rates was not expected based on previous research for rigid pipes [8][9][10][14][15][16]. The peaks also continued to occur in approximately the same region as for the wired tests.…”
Section: Results and Discussion -Test 4 Test 5 And Test 6 -Standardmentioning
confidence: 46%
“…Vibrations from fluid or gas flow can occur in any relatively rigid pipe such as water, oil, and gas utility or industrial pipes. Wired sensors, including accelerometers, have been attached securely to the outside surface of rigid pipes to measure fluid or gas induced pipe vibrations to determine flow rate within the pipe in research settings as well as in the utility pipeline industry [3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”
Section: Background Literaturementioning
confidence: 99%
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“…Among the many accelerations sensors available, the selection focused on MEMS accelerometers, which are known for their small size, low costs, and their ability to sense over a relatively large bandwidth, starting from very low frequencies. This approach has proven to be promising in (Khulief, et al, 2012), (Mistretta, et al, 2018), (Restuccia, et al, 2023) and(Lo Valvo, et al, 2023).…”
Section: Sensormentioning
confidence: 99%