基于自组织映射和K-means聚类的分层设计空间动态缩减方法及其在船型优化中的应用  

Hierarchical space reduction method based on self-organizing maps and K-means clustering for hull form optimization

作　　者：于群 李鹏[3] 郑强[1,2] 冯佰威[1,2] 邱春良 曾大连 YU Qun;LI Peng;ZHENG Qiang;FENG Baiwei;QIU Chunliang;ZENG Dalian(Key Laboratory of High Performance Ship Technology of Ministry of Education,Wuhan University of Technology,Wuhan 430063,China;School of Shipbuilding,Marine Engineering,Energy and Power Engineering,Wuhan University of Technology,Wuhan 430063,China;China Ship Development and Design Center,Wuhan 430064,China;Guangxi CSSC Beibu Gulf Shipbuilding and Marine Engineering Design Co.,Ltd.,Nanning 530028,China)

机构地区：[1]武汉理工大学高性能船舶技术教育部重点实验室,湖北武汉430063 [2]武汉理工大学船海与能源动力工程学院,湖北武汉430063 [3]中国舰船研究设计中心,湖北武汉430064 [4]广西中船北部湾船舶及海洋工程设计有限公司,广西南宁530028

出　　处：《中国舰船研究》2024年第6期64-73,共10页Chinese Journal of Ship Research

基　　金：国家自然科学基金资助项目(51979211,52271327,52271330,52471339,52401390);装备预研教育部联合基金(青年人才)资助项目(8091B032201);高等学校学科创新引智计划资助项目(BP0820028);广西重大科技专项资助项目(AA23023013,AA23062037);中央高校基本科研业务费专项资金资助项目(104972024RSCbs0010);国家资助博士后研究人员计划C档资助项目(GZC20232018)。

摘　　要：[目的]基于CFD的船型优化由于其高维、计算昂贵、“黑盒”等特点,通常会存在优化效率低,优化质量差的问题。针对以上问题,基于自组织映射方法和K-means聚类提出分层设计空间动态缩减方法(HSRM)。[方法]利用K-means聚类算法,对自组织映射方法的可视化结果进行聚类,并提取感兴趣的区域。通过该方式,可在船型优化过程中,对样本仿真数据进行数据挖掘、提取设计知识、指导设计优化,以提高优化质量。最后将该方法应用于7500吨级散货船的船型优化设计过程以验证有效性。[结果]结果表明,利用传统粒子群优化算法(PSO)和HSRM得到的优化船型总阻力分别降低1.854%和2.266%,HSRM能得到更高质量的优化解。[结论]所提出的方法可以指导优化算法向着最优解的方向进行寻优,有效提高优化效率和优化质量。[Objective]Due to its high-dimensional,computationally expensive,and 'black-box' characteristics,hull form optimization based on CFD usually leads to low efficiency and poor quality.To solve the above problems,this paper proposes a hierarchical space reduction method(HSRM) based on the self-organizing maps(SOM) method and K-means clustering.[Method]The visualization results of SOM are clustered and the regions of interest are extracted.In this way,data mining is used to extract the knowledge implicit in the sample simulation data which can then be used to guide hull form optimization and improve its efficiency and quality.The proposed method is applied to the hull form optimization of a 7500-ton bulk carrier.[Results]The results show that the total drag of the optimal hull form obtained using traditional particle swarm optimization(PSO) and HSRM is reduced by 1.854% and 2.266% respectively,with HSRM leading to a higher-quality optimized solution.[Conclusion]The proposed method can guide the optimization algorithm to search in the direction of the optimal solution,effectively improving the efficiency and quality of optimization.

关 键 词：船舶设计 船型优化 自组织映射 设计空间缩减 聚类分析 分层设计空间动态缩减方法 

分 类 号：U661.31[交通运输工程—船舶及航道工程]