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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Y. Chi and F. Huang, “An overview of the simulation-based hydrodynamic design of ship hull forms,†J. Hydrodyn. Ser. B, vol. 28, no. 6, pp. 947–960, 2016.

A. Lungu, “Trial computations of the free-surface flow around a bulk carrier ship model,†Ann. of†Dunarea Jos†Univ. Galati. Fascicle XI Shipbuilding., vol. 39, pp. 73–80, 2016.

A. T. Hoang and V. V. Pham, “Impact of jatropha oil on engine performance, emission characteristics, deposit formation, and lubricating oil degradation,†Combust. Sci. Technol., vol. 191, no. 03, pp. 504–519, 2019.

J. Wang, L. Zou, and D. Wan, “Numerical simulations of zigzag maneuver of the free-running ship in waves by RANS-Overset grid method,†Ocean Eng., vol. 162, pp. 55–79, 2018.

C. H. Son, “CFD Investigation of Resistance of High-Speed Trimaran Hull Forms.†2015.

A. T. Hoang and V. V. Pham, “A study of emission characteristics, deposits, and lubrication oil degradation of a diesel engine running on preheated vegetable oil and diesel oil,†Energy Sources, Part A Recover. Util. Environ. Eff., vol. 41, no. 5, pp. 611–625, 2019.

S. Lee and C. Hong, “Study on the course stability of very large vessels in shallow water using CFD,†Ocean Eng., vol. 145, pp. 395–405, 2017.

M. Diez, R. Broglia, D. Durante, A. Olivieri, E. Campana, and F. Stern, “Validation of uncertainty quantification methods for high-fidelity CFD of ship response in irregular waves,†in 55th AIAA Aerospace Sciences Meeting, 2017, p. 1655.

L. Du, H. Hefazi, and P. Sahoo, “Rapid resistance estimation method of non-Wigley trimarans,†Ships Offshore Struct., pp. 1–11, 2019.

H. Chang, X. Cheng, Z. Liu, B. Feng, and C. Zhan, “Sample selection method for ship resistance performance optimization based on the approximated model,†J. Sh. Res., vol. 60, no. 1, pp. 1–13, 2016.

S. Zhang, B. Zhang, T. Tezdogan, L. Xu, and Y. Lai, “Computational fluid dynamics-based hull form optimization using approximation method,†Eng. Appl. Comput. Fluid Mech., vol. 12, no. 1, pp. 74–88, 2018.

W. Luo and L. Lan, “Design Optimization of the Lines of the Bulbous Bow of a Hull Based on Parametric Modeling and Computational Fluid Dynamics Calculation,†Math. Comput. Appl., vol. 22, no. 1, p. 4, 2017.

J. Yao, W. Jin, and Y. Song, “RANS simulation of the flow around a tanker in forced motion,†Ocean Eng., vol. 127, pp. 236–245, 2016.

P. Akbarzadeh, P. Molana, and M. A. Badri, “Determining resistance coefficient for series 60 vessels using numerical and experimental modeling,†Ships Offshore Struct., vol. 11, no. 8, pp. 874–879, 2016.

L. Leal, E. Flores, D. Fuentes, and B. Verma, “Hydrodynamic study of the influence of bulbous bow design for an Offshore Patrol Vessel using Computational Fluid Dynamics,†Sh. Sci. Technol., vol. 11, no. 22, pp. 29–39, 2018.

T. Tezdogan, Y. K. Demirel, P. Kellett, M. Khorasanchi, A. Incecik, and O. Turan, “Full-scale unsteady RANS CFD simulations of ship behavior and performance in head seas due to slow steaming,†Ocean Eng., 2015.

S.-E. Kim et al., “A Scalable and Extensible Computational Fluid Dynamics Software Framework for Ship Hydrodynamics Applications: NavyFOAM,†Comput. Sci. Eng., vol. 19, no. 6, pp. 33–39, 2017.

Y. Liu, L. Zou, and Z.-J. Zou, “Computational fluid dynamics prediction of hydrodynamic forces on a maneuvering ship including effects of dynamic sinkage and trim,†Proc. Inst. Mech. Eng. part M J. Eng. Marit. Environ., vol. 233, no. 1, pp. 251–266, 2019.



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