Research on Ship Hull Optimisation of High-Speed Ship Based on Viscous Flow/Potential Flow Theory

Author:

Baoji Zhang1

Affiliation:

1. Shanghai Maritime University , China

Abstract

Abstract In order to quickly obtain practical ship forms with good resistance performance, based on the linear wave-making resistance theory, the optimal design method of ship forms with minimum total resistance is discussed by using the non-linear programming (NLP) method. Taking the total resistance as the objective function (the Michell integral is used to calculate the wave-making resistance and the equivalent plate friction resistance formula is used to calculate the frictional resistance), the hull surface offset as the design variable and appropriate displacement as the basic constraints, and considering the additional constraints, the hull bow shape and the whole ship are optimised, and an improved hull form is obtained. The resistance of the ship before and after optimisation is calculated by the CFD method to further evaluate the resistance reduction effect and performance after optimisation. Finally, an example of optimisation calculation of an actual high-speed ship is given. The obvious resistance reduction results confirm the reliability of the optimisation design method.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering,Ocean Engineering

Reference21 articles.

1. 1. Kim H. J., Choi J. E., Chun H. H. (2016): Hull-form optimization using parametric modification functions and particle swarm optimization. Journal of Marine Science and Technology, 21, 129–144.10.1007/s00773-015-0337-y

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3. 3. Liu X. Y., Wu J. W., Wan D. C. (2016): Ship type optimization based on genetic algorithm and NM theory. Hydrodynamic Research and Development, 31(5), 535–541.

4. 4. Li Z. Z. (2005): Research on ship type optimization based on wave resistance value calculation. Dalian University of Technology, China.

5. 5. Luo W. L., Lan L. Q. (2017): Design Optimization of the Lines of the Bulbous Bow of a Hull Based on Parametric Modeling and Computational Fluid Dynamics Calculation. Math Computation. Appl., 22(1), 43–54.

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