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基于拓扑-几何表征的主船体分舱多目标优化

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[目的]为降低船舶概念设计对于设计经验和母型船资料的依赖,并提高设计效率和设计质量,提出一种主船体分舱智能优化方法.[方法]首先,对船舶舱室设备间的相互影响关系进行梳理分析,提出影响关系拓扑表征模型和自动辨识方法;结合设计经验和统计规律,构建有利影响拓扑目标函数和空间利用率几何目标函数,并依据设计规范提出概率破舱约束模型.然后,基于多目标遗传算法实现优化求解,从而形成一套主船体分舱智能优化方法.[结果]以"大洋"号综合资源科考船为对象,开展主船体分舱优化设计测试,得到的帕累托前沿解集具有良好的多样性,且与母型分舱方案相比,最优分舱方案有利影响提升 13.717 0,水密舱段数量减少 1 个.[结论]测试结果表明该方法具有一定的合理性.
Multi-objective optimization of main hull subdivision based on topological geometric representation
[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.

main hull subdivisionmulti-objective optimizationtopological geometrynetwork scienceprobability of ship damagegenetic algorithm

于磊、陈顺怀、杨萌、汪皓、孙永炎

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武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063

汉江国家实验室,湖北 武汉 430061

武汉船舶设计研究院有限公司,湖北 武汉 430064

主船体分舱 多目标优化 拓扑几何 网络科学 概率破舱 遗传算法

2024

中国舰船研究
中国舰船研究设计中心

中国舰船研究

CSTPCD北大核心
影响因子:0.496
ISSN:1673-3185
年,卷(期):2024.19(z2)