International Journal on Advanced Science, Engineering and Information Technology, Vol. 10 (2020) No. 1, pages: 171-177, DOI:10.18517/ijaseit.10.1.10588

Improving the Accuracy of Ship Resistance Prediction Using Computational Fluid Dynamics Tool

Van Chinh Huynh, Gia Thai Tran


The ship resistance prediction using CFD tool has become an accepted method over the last decade; however, the CFD-based ship resistance results are not always accurate. This paper presents the approach of determining the input parameters of the CFD solution for ship resistance prediction, including of size and boundary conditions of the computational domain, and parameters of turbulent model in accordance with the geometric characteristics of hull to improve the accuracy of CFD-based resistance values for a specific ship type. Two same type of fishing vessels named FAO 72 and FAO 75 which are tested in towing tank are chosen as the computed ship to apply this approach for resistance prediction accurately. The CFD-based resistance results of these vessels are compared with corresponding model testing results to analyze accuracy and reliability of this approach as well as discussing the effect of the initial parameters of the CFD solution on the resistance results as mentioned. The research results shown that the accuracy of three dimensions (3D) model of computational ship, the appropriate values of computational domain size and turbulent model parameters for resistance prediction using CFD are the input factor to improve the accuracy of resistance values. Especially the specific values of computational domain size and turbulent model parameters are presented in this paper will be the input parameters to predict the resistance using CFD for the fishing vessels with the same geometric characteristics as the computed ship.


CFD; resistance; input parameter; accurate prediction; FAO.

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