Method for designing ship body form line based on sensitivity

Abstract

A method for designing a ship body form line based on sensitivity comprises the first step of carrying out three-dimensional modeling of the ship body form line, namely, a ship body curved surface is modified based on a ship body Non-Uniform Rat ional B-spline expression and the radial basic function interplation technology; the second step of carrying out forward calculating, namely, the performance index of an initial ship type of a transformed ship body curved surface is worked out through CFD software; the third step of carrying out reverse predicating, namely, all control points of an initial parent type are sequentially disturbed, CFD calculation is carried out on each disturbed ship type, and the corresponding performance index is worked out; the fourth step of detecting the stopping condition, namely, the first step is executed repeatedly if the obtained performance index cannot meet the stopping condition, iteration is carried out repeatedly until the difference of the performance index of a new ship type and a set value is smaller than a convergence value or the set times of iterations are achieved, and the final ship type is the required optimal ship type.

Description

technical field [0001] The invention relates to a design method, in particular to a sensitivity-based hull shape design method. Background technique [0002] In the traditional ship shape design in the past, it was necessary to manually modify the hull shape line, and then verify the best ship shape through ship model experiments. This design method is costly and has a long design period, and the obtained design scheme is only a feasible scheme that meets the design technical indicators, not an optimal design scheme. Therefore, ship type optimization has become a hot research direction. At present, the optimization of hull shape is mainly carried out according to the pros and cons of hydrodynamic performance, and the entire optimization process is driven by an optimization algorithm. The current optimization technology has the following problems: [0003] (1) From the perspective of calculation methods, the most widely used computational fluid dynamics (Computational Flui...

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Problems solved by technology

[0004] (2) The optimization algorithm used is inefficient, and it is difficult to obtain the global optimal result

However, this optimization method is often a random search i

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