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CFD-based empirical formulae for squat prediction of modern container ships

Citation

Kok, Z and Duffy, J and Chai, S and Jin, Y, CFD-based empirical formulae for squat prediction of modern container ships, Ship Technology Research pp. 1-16. ISSN 0937-7255 (2022) [Refereed Article]


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DOI: doi:10.1080/09377255.2022.2149090

Abstract

An extensive Computational Fluid Dynamics (CFD) based study has been undertaken to develop a set of empirical formulae for squat prediction suitable for modern container ships in laterally-unrestricted shallow water. Previous work has quantified the effect of various ship principal particulars on midship sinkage and trim. The current study expands on the previous work to provide further quantifications for ship speed and water depth. Multiple linear regression analysis is then performed on the dataset to produce empirical equations for sinkage and trim. Predictions using the new set of formulae correlate well with the original dataset as well as new datasets which are within the limits of applicability. Predictions using the new formulae tend to be more accurate than existing empirical methods for the cases tested. Hence, the new set of formulae is a useful tool to provide reliable, rapid squat assessment and is suitable for implementation into real-time shiphandling simulator mathematical models

Item Details

Item Type:Refereed Article
Keywords:Ship squat, Computational Fluid Dynamics, shallow water, container ships, parametric transformation, empirical formulae, regression analysis
Research Division:Engineering
Research Group:Maritime engineering
Research Field:Ship and platform structures (incl. maritime hydrodynamics)
Objective Division:Transport
Objective Group:Water transport
Objective Field:Port infrastructure and management
UTAS Author:Kok, Z (Dr Zhen Kok)
UTAS Author:Duffy, J (Associate Professor Jonathan Duffy)
UTAS Author:Chai, S (Professor Shuhong Chai)
UTAS Author:Jin, Y (Mr Yuting Jin)
ID Code:154716
Year Published:2022
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2022-12-23
Last Modified:2022-12-23
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