A study of numerical ship underwater noise prediction

Paula Mara Grinbergs Kellett, Osman Turan, Atilla Incecik

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Underwater noise has become a key area of concern to the marine industry, with pressure from government bodies and conservation groups urging the industry to examine and address the negative effects on marine fauna. Numerical methods are rapidly gaining popularity for hydroacoustic applications. These methods have the distinct advantage of allowing designers to understand the noise characterist"run_autics of a vessel during the design stages and therefore allowing corrective action to be taken promptly before the vessel is built. Numerical methods can provide highly accurate tools for noise level and propagation prediction, as well as giving insight into the flow field and other key aspects. This study uses a CFD-based URANS hydrodynamic prediction approach, coupled with the Ffowcs-Williams Hawkings (FWH) equation for noise propagation. Field measurement data for an LNG carrier was used for validation of the numerical results, and the same vessel was used in the numerical modelling. A variety of modelling variables were considered, to ascertain which should be modelled for different applications and required levels of prediction accuracy. These variables included the free surface and the capture of quadrupole noise sources, as well as a comparison of propeller representation approaches.
LanguageEnglish
Pages113–120
Number of pages8
JournalOcean Engineering
Volume66
DOIs
Publication statusPublished - 1 Jul 2013

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Ships
Numerical methods
Underwater acoustics
Propellers
Liquefied natural gas
Conservation
Flow fields
Computational fluid dynamics
Hydrodynamics
Industry
Marine industry

Keywords

  • Ffowcs-Williams Hawkings equation
  • fullscale
  • porous formulation
  • propeller
  • CFD
  • hydroacoustics

Cite this

Kellett, Paula Mara Grinbergs ; Turan, Osman ; Incecik, Atilla. / A study of numerical ship underwater noise prediction. In: Ocean Engineering. 2013 ; Vol. 66. pp. 113–120.
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A study of numerical ship underwater noise prediction. / Kellett, Paula Mara Grinbergs; Turan, Osman; Incecik, Atilla.

In: Ocean Engineering, Vol. 66, 01.07.2013, p. 113–120.

Research output: Contribution to journalArticle

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