Approximated model instead of computational fluid dynamics tool is utilized for performance analysis in hull form optimization process, which can save time significantly. Sample selection is the central issue of approximated model building. This article focuses on the sample selection method and the application of approximated model in hull form optimization. Latin hypercube sampling and uniform design are compared. The uniform design based on genetic algorithm approach is proposed. The radial basis function interpolation method is used for hull surface automatic modification. An approximated model using a neural network for ship resistance performance is established. The stem profile's optimization for the Korea Research Institute of Ships and Ocean Engineering (KRISO) container ship is completed. The results show that hull form optimization based on the approximated model can significantly improve optimization efficiency and is practical for engineering design.

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The concept of time-averaged motion is introduced to analyze the coupled ship maneuvering and seakeeping problem. Based on this concept, new equations of ship motion, referred to as time-averaged equations, are proposed for ship maneuvering prediction in waves. The present work is to describe and verify the new method. For the latter, the maneuverability of container ship S-175 in regular waves is predicted by solving the equations, where forces and wave-induced high-frequency motions are approximated by means of a modeling approach. The results are compared with available experimental data. It is indicated that the new method is very promising because satisfactory agreements are found between predictions and experiments. In addition, the influences of wave-induced high-frequency motions on maneuverability are analyzed and discussed.

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