Optimization of Submersible Shape based on Multi-Objective Genetic Algorithm
Lei Song · Chuanbo lixue · 2011
It is accurate to use CFD software in the optimization of submersible hydrodynamic shape,but its efficiency is low.Based on the statistical techniques,a strategy for optimization design of submersible shape is proposed.Its central idea is that:firstly the hydrodynamic model is set up by using the log file of Gambit,and design variables are chosen by referring design requirements;then the samples for analysis are created in the design space and finite element models corresponding to the samples are built and analyzed;thirdly the response surface models of drag and surrounded volume are constructed using these samples and responses obtained by hydrodynamic calculation.During the design of submersible shape,both drag performance and arrangement condition are factors to be considered.So multi-objective genetic algorithm is studied in this paper to solve the shape optimization with two objectives which are minimum drag and maximal surrounded volume,and the Pareto optimal solutions are given in the end.The result shows that this method can improve the efficiency and achieve optimal intention and the approximation of drag has valuable reference information for later research.