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dc.contributor.authorDoyle, Robert
dc.date.accessioned2012-10-05T15:12:32Z
dc.date.available2012-10-05T15:12:32Z
dc.date.issued2012-10-05
dc.identifier.urihttp://hdl.handle.net/10222/15574
dc.description.abstractThree models for the generation and propagation of hydrodynamic noise near the ocean surface are presented, and are compared for their ability to predict hull noise generated by CFAV Quest. The simulated fluctuating pressure field on the hull is also validated against experimental results. The near field flow is first solved using the NWT CFD package, and the hydrodynamic noise is calculated using the Lighthill-Curle acoustic analogy. The far field sound is obtained using three methods: a method of images solution to the Lighthill-Curle equations, a simple source model of the transmission loss, or a normal mode model of the transmission loss. Both the simple source and method of images models improve the SPL predictions of the Lighthil-Curle equations. Best performance is obtained from the method of images, improving predictions by approximately 40 dB. The normal mode model is shown to give poor results, due to assumed sea-floor boundary conditions.en_US
dc.language.isoenen_US
dc.subjectComputational Fluid Dynamicsen_US
dc.subjectHydrodynamic Noiseen_US
dc.subjectLloyd's Mirroren_US
dc.subjectMethod of Imagesen_US
dc.subjectComputational Aeroacousticsen_US
dc.titlePredicting the Hydrodynamic Acoustic Signature of CFAV Quest in the Near Surface Environmenten_US
dc.date.defence2012-09-21
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr Ya-Jun Panen_US
dc.contributor.thesis-readerDr Serguei Iakovleven_US
dc.contributor.thesis-readerDr Robert Baueren_US
dc.contributor.thesis-supervisorDr Julio Militzer, Dr Mae Setoen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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