2022
DOI: 10.1080/17445302.2022.2053353
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Cavitation volume behaviour derived from full-scale pressure fluctuations

Abstract: This study uses measurements of pressure fluctuations of a full-scale ship for the calculation of the cavitation volume based on an acoustical model. The sound pressure signal had been recorded by pressure sensors mounted above the propeller of a 3600 TEU container vessel, combined with a synchronous tachometer signal from the propeller shaft. An acoustic monopole is used to model the unsteady sheet cavitation as a sound source. The analysis comprises intermediate high-pass filtering and integration followed b… Show more

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Cited by 2 publications
(15 citation statements)
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“…The present study follows the approach to calculate the cavitation volume from a measured sound pressure signal, as first proposed by [7] and recently applied by [13]. This approach is based on the monopole characteristic of sheet cavitation noise as described by [5,14] and confirmed in recent experimental and numerical studies [13,15,16].…”
Section: Introductionmentioning
confidence: 77%
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“…The present study follows the approach to calculate the cavitation volume from a measured sound pressure signal, as first proposed by [7] and recently applied by [13]. This approach is based on the monopole characteristic of sheet cavitation noise as described by [5,14] and confirmed in recent experimental and numerical studies [13,15,16].…”
Section: Introductionmentioning
confidence: 77%
“…The present study follows the approach to calculate the cavitation volume from a measured sound pressure signal, as first proposed by [7] and recently applied by [13]. This approach is based on the monopole characteristic of sheet cavitation noise as described by [5,14] and confirmed in recent experimental and numerical studies [13,15,16]. Noise measurements (both on-board and experimental) are commonly analysed in the frequency domain, lacking connections to the physical processes, while many studies focusing on the physics of cavitation are performed without noise measurements.…”
Section: Introductionmentioning
confidence: 99%
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