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Prediction of a ship roll added mass moment of inertia using numerical simulation


Kianejad, SS and Enshaei, H and Duffy, J and Ansarifard, N, Prediction of a ship roll added mass moment of inertia using numerical simulation, Ocean Engineering, 173 pp. 77-89. ISSN 0029-8018 (2019) [Refereed Article]

Copyright Statement

Copyright 2018 Crown Copyright

DOI: doi:10.1016/j.oceaneng.2018.12.049


Prediction of a ship's roll motion in parametric roll and dead ship condition using CFD and experiments is time consuming and expensive, while a reliable equation based method can drastically decrease the computation time. The commonly used roll motion equation contains roll mass and added mass moment of inertia, damping and restoring terms and associated coefficients. Improving the prediction of these coefficients increases the accuracy of the method. There is a lack of precise calculation for the roll added mass moment of inertia, which is commonly estimated using semi-empirical techniques and as a percentage of the roll mass moment of inertia coefficient. This paper presents a new method to determine the roll added mass moment of inertia using CFD simulations based on a harmonic excitation roll motion technique and the results are compared against Bhattacharyya's method. The influences of excitation frequency, Froude number, roll angle and appendages on the roll motion characteristics and the roll added mass moment of inertia coefficient are investigated. In addition, the roll added mass moment of inertia coefficients on the model scale and full scale ship are computed to investigate the scale effect.

Item Details

Item Type:Refereed Article
Keywords:roll added mass moment of inertia, harmonic excited roll motion, roll angle, resonance, CFD
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Naval architecture
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Kianejad, SS (Mr Seyedsadreddin Kianejadtejenaki)
UTAS Author:Enshaei, H (Dr Hossein Enshaei)
UTAS Author:Duffy, J (Associate Professor Jonathan Duffy)
UTAS Author:Ansarifard, N (Ms Nazanin Ansarifard)
ID Code:130760
Year Published:2019
Web of Science® Times Cited:20
Deposited By:Seafaring and Maritime Operations
Deposited On:2019-02-11
Last Modified:2019-12-23

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