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{"references": ["G. K. Saha and M. A. Miazee, \"Numerical and Experimental Study of Resistance, Sinkage and Trim of a Container Ship,\" Procedia Eng., vol. 194, pp. 67\u201373, 2017.", "Y. M. Ahmed, O. . Yaakob, M. F. A. Rashid, and A. H. Elbatran, \"Determining Ship Resistance Using Computational Fluid Dynamics ( CFD ),\" J. Transp. Syst. Eng., vol. 1, pp. 20\u201325, 2015.", "S. Jeong, K. Choi, K. Kang, and J. Ha, \"ScienceDirect Prediction of ship resistance in level ice based on empirical approach,\" Int. J. Nav. Archit. Ocean Eng., no. 2006, 2017.", "B. V. Subbaiah, S. G. Thampi, and V. Mustafa, \"Modelling and CFD Analysis of Traditional Snake Boats of Kerala,\" Aquat. Procedia, vol. 4, no. Icwrcoe, pp. 481\u2013491, 2015.", "A. De Marco, S. Mancini, S. Miranda, R. Scognamiglio, and L. Vitiello, \"Experimental and numerical hydrodynamic analysis of a stepped planing hull,\" Appl. Ocean Res., vol. 64, no. 1, pp. 135\u2013154, 2017.", "Y. M. Ahmed, \"Numerical simulation for the free surface flow around a complex ship hull form at different Froude numbers,\" Alexandria Eng. J., vol. 50, no. 3, pp. 229\u2013235, 2011.", "L. Axner, J. Gong, A. Chiarini, and L. Mascellaro, \"Partnership for Advanced Computing in Europe SHAPE pilot Monotricat SRL : Hull resistance simulations for an innovative hull using OpenFOAM,\" Pr. Partnersh. Adv. Comput. Eur., pp. 1\u20138, 2014.", "A. De Marco, S. Mancini, S. Miranda, R. Scognamiglio, and L. Vitiello, \"Experimental and numerical hydrodynamic analysis of a stepped planing hull,\" Phys. Procedia, vol. 64, pp. 135\u2013154, 2017.", "S. Sherbaz and W. Duan, \"Ship trim optimization: Assessment of influence of trim on resistance of moeri container ship,\" Sci. World J., vol. 2014, no. January, 2014.", "S. Seo, S. Park, and B. Koo, \"E ff ect of wave periods on added resistance and motions of a ship in head sea simulations,\" Ocean Eng., vol. 137, no. October 2016, pp. 309\u2013327, 2017.", "R. S. Zha, H. X. Ye, Z. R. Shen, and D. C. Wan, \"Numerical computations of resistance of high speed catamaran in calm water,\" J. Hydrodyn., vol. 26, no. 6, pp. 930\u2013938, 2015.", "C. Emmanuel, L. Mesina, \"The Conceptual Design of a Ballast Free Ship by The Conceptual Design of a Ballast Free Ship Ballast Free,\" Pukyong National University, 2017.", "S. Eliasson and D. Olsson, \"Barge Stern Optimization,\" Anal. a straight shaped stern using CFD, no. X, 2011.", "E. Begovic and C. Bertorello, \"Resistance assessment of warped hullform,\" Ocean Eng., vol. 56, pp. 28\u201342, 2012."]}
This paper presents the numerical investigation of ship resistance of Indonesian traditional fishing vessel. The Open-source computational fluid dynamics (CFD) library, OpenFOAM, was used to predict three dimensional, incompressible, unsteady RANS equations for the ship resistance. The volume of fluid (VOF) method is used to predict the resistance. InterFoam solver is adopted to solve the computational problem. The KCS model was calculated and compared to the experimental result for validating the solver and relatively good agreement is achieved, then can be used to simulate the present model. The present model was using Indonesian traditional fishing vessel from the north and south coastal of Java island. The water condition in this study is in calm water condition and the same Froude number (Fn) for both models. As a result, the presented model for preliminary total resistance prediction in advance of the evaluation of the traditional fishing vessel performances.
Acknowledgment This paper was supported by the BK21 plus MADEC human resource development group, Pukyong National University, South Korea.
Traditional fishing vessel, resistance, CFD, OpenFOAM, InterFoam solver, VOF
Traditional fishing vessel, resistance, CFD, OpenFOAM, InterFoam solver, VOF
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