基于拓扑-几何表征的主船体分舱多目标优化OA北大核心CSTPCD

[Objective]In order to reduce the dependence of ship conceptual design on design experience and mother ship data while improving design efficiency and quality,a main hull subdivision intelligent optim-ization method is proposed.[Methods]First,the mutual influence relationships between ship cabin equip-ment are analyzed and a topological representation model and automatic identification method for such rela-tionships are proposed.Based on design experience and statistical rules,a favorable impact topological object-ive function and geometric objective function for the space utilization rate are constructed,and a probability damage constraint model is proposed according to the design specifications.Based on the theory of membrane computing,a multi-objective optimization solution is realized,forming a set of intelligent optimization meth-ods for the main hull subdivision.A main hull subdivision optimization design test is then carried out on the DaYang comprehensive resource survey ship.[Results]The Pareto front solution set obtained from the op-timization has good diversity.Compared with the mother type subdivision scheme,the optimal subdivision scheme has a favorable impact increase of 13.717 0 and reduces the number of watertight compartments by one.[Conclusion]The test results indicate that this method is rational and feasible.