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Numerical assessment of roll motion characteristics and damping coefficient of a ship

Citation

Kianejad, SS and Lee, J and Liu, Y and Enshaei, H, Numerical assessment of roll motion characteristics and damping coefficient of a ship, Journal of Marine Science and Engineering, 6, (3) Article 101. ISSN 2077-1312 (2018) [Refereed Article]


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Copyright Statement

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/

Official URL: https://www.mdpi.com/2077-1312/6/3/101

DOI: doi:10.3390/jmse6030101

Abstract

Accurate calculation of the roll damping moment at resonance condition is essential for roll motion prediction. Because at the resonance condition, the moment of inertia counteracts restoring moment and only the damping moment resists increase in the roll angle. There are various methods to calculate the roll damping moment which are based on potential flow theory. These methods have limitations to taking into account the viscous effects in estimating the roll motion, while, CFD as a numerical method is capable of considering the viscous effects. In this study, a CFD method based on a harmonic excited roll motion (HERM) technique is used to compute the roll motion and the roll damping moment of a containership’s model in different conditions. The influence of excitation frequency, forward speed and degrees of freedom at beam-sea and oblique-sea realizations are considered in estimating the roll damping coefficients. The results are validated against model tests, where a good agreement is found.

Item Details

Item Type:Refereed Article
Keywords:roll motion, roll damping, CFD, harmonic excitation
Research Division:Engineering
Research Group:Maritime Engineering
Research Field:Ship and Platform Hydrodynamics
Objective Division:Transport
Objective Group:Water Transport
Objective Field:International Sea Freight Transport (excl. Live Animal Transport)
UTAS Author:Kianejad, SS (Mr Seyedsadreddin Kianejadtejenaki)
UTAS Author:Lee, J (Mr Jaesuk Lee)
UTAS Author:Liu, Y (Mr Yi Liu)
UTAS Author:Enshaei, H (Dr Hossein Enshaei)
ID Code:128673
Year Published:2018
Web of Science® Times Cited:3
Deposited By:Seafaring
Deposited On:2018-10-05
Last Modified:2018-12-14
Downloads:29 View Download Statistics

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