Ship type optimization method based on BP neural network algorithm

Abstract

The invention discloses a ship type optimization method based on a BP neural network algorithm. The method comprises the following steps: generating a group of particle swarm design variables according to a particle swarm optimization algorithm, wherein each design variable particle corresponds to a group of ship type modification parameters; constructing a ship body new geometry corresponding tothe ship type modification parameter by adopting an arbitrary curved surface deformation technology; calculating the hydrodynamic performance of the new geometry of the ship body by adopting a BP neural network algorithm; and then inputting the target function into a particle swarm optimization algorithm, generating a group of new particle swarm design variables according to a transformation ruleof the particle swarm optimization algorithm, returning to step 2 to continue the next optimization until the particle swarm optimization algorithm reaches the maximum iteration times, and outputtingthe ship geometry corresponding to the optimal particle. The actual ship navigation situation is considered, the ship body profile with more excellent performance in waves can be obtained, fuel neededby ship navigation is saved, the harmful gas emission is reduced, meanwhile, the ship type optimization efficiency can be effectively improved, and the ship type design accuracy is guaranteed.

Description

technical field [0001] The invention relates to a ship shape optimization method, in particular to a ship shape optimization method based on BP neural network algorithm. Background technique [0002] When a ship is sailing at sea, the impact of waves on the ship is inevitable. Larger waves will cause waves on the deck, reduce the comfort of the ship, and even endanger the safety of personnel. The resistance of the ship in the waves is very important to the rapidity of the ship. In order to reduce fuel consumption and carbon dioxide emissions during the voyage, the performance of the ship in waves must be taken into account when designing the ship. However, in the existing ship shape optimization design, only the resistance performance of the ship in still water is considered, but the performance of the ship in waves is not optimized. Therefore, the optimal design of ship shape based on wave conditions has become a technical difficulty. [0003] At present, in the field of...

AI Technical Summary

Problems solved by technology

However, the long time-consuming problem based on the Reynolds average-fluid volume function method has brought great difficulties to the fast and efficient production of the shipbuilding industry. Twice or more the time required to calculate the total hull resistance

Images