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Performance prediction of a 112m wave-piercing catamaran

Citation

Kay, E and Lavroff, J and Davis, MR, Performance prediction of a 112m wave-piercing catamaran, Transactions of the Royal Institution of Naval Architects Part A4: International Journal of Maritime Engineering, 160 pp. A325-A336. ISSN 1479-8751 (2018) [Refereed Article]


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Copyright Statement

Copyright 2018 The Royal Institution of Naval Architects

Official URL: https://www.rina.org.uk/IJME_498.html

DOI: doi:10.3940/rina.ijme.2018.a4.498

Abstract

The prediction of power required to propel a high-speed catamaran involves the hydrodynamic interactions between the hull surface and the surrounding fluid that may be difficult to compute numerically. In this study model-scale experiments are used as a basis for comparison to full-scale sea trials data measured on a 112m Incat wave-piercing catamaran to predict the full-scale powering requirements from model-scale testing. By completing water jet shaft power measurements on an Incat vessel during sea trials, comparison of these results was made to model-scale test results to provide good correlation. The work demonstrates that the International Towing Tank Conference (ITTC) extrapolation techniques used provide a good basis for extrapolating the data from model-scale to full-scale to predict the power requirements for the full-scale catamaran vessel operating at high Froude Number with water jet propulsion. This provides a useful tool for future designers and researchers for determining the power requirements of a catamaran vessel through model tests.

Item Details

Item Type:Refereed Article
Keywords:propulsion, high-speed catamaran, resistance, power prediction, model scale, full-scale, extrapolation
Research Division:Engineering
Research Group:Maritime Engineering
Research Field:Marine Engineering
Objective Division:Transport
Objective Group:Water Transport
Objective Field:Passenger Water Transport
UTAS Author:Kay, E (Mr Edward Kay)
UTAS Author:Lavroff, J (Dr Jason Lavroff)
UTAS Author:Davis, MR (Professor Michael Davis)
ID Code:130214
Year Published:2018
Deposited By:Engineering
Deposited On:2019-01-16
Last Modified:2019-03-07
Downloads:3 View Download Statistics

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