基于变复杂度方法的可视化船型优化平台在球鼻艏的应用  

Application of visual ship form optimization platform based on variable complexity method in bulbous bow

作　　者：孙风胜 于欣 周俊秋 陈静 张维英 SUN Fengsheng;YU Xin;ZHOU Junqiu;CHEN Jing;ZHANG Weiying(School of Navigation and Naval Architecture,Dalian Ocean University,Dalian 116023,China;Zhanjiang Fire Rescue Detachment,Guangdong Fire and Rescue Brigade,Zhanjiang 524005,China)

机构地区：[1]大连海洋大学航海与船舶工程学院,辽宁大连116023 [2]广东省消防救援总队湛江市消防救援支队,广东湛江524005

出　　处：《中国航海》2025年第1期141-149,156,共10页Navigation of China

基　　金：国家自然科学基金项目(51509124)。

摘　　要：随着计算机技术的高速发展,船型优化领域出现了众多新的优化方法与流程,但目前国内依然缺少可高效集成这些方法与流程且开源免费的船型优化平台。文章基于Grasshopper(GH)可视化编程环境,构建一个集成了船型优化基本步骤的优化平台,并通过在该平台的优化流程中引入变复杂度方法,解决优化时间长、计算成本高的问题,强化了该平台的功能和优化能力。通过该平台对克里索集装箱船(KCS)的球鼻艏进行减阻优化,设计出的新船型在阻力性能表现上较原始船型更为出色,验证了该平台的正确性和可行性,也为后续扩展该平台的功能奠定了基础。With the rapid development of computer technology,numerous new optimization methods and processes have emerged in the field of ship type optimization.However,there is still a lack of open-source and free optimization platforms in China that can efficiently integrate these optimization methods and processes.This article constructs an optimization platform based on the Grasshopper visual programming environment,integrating the fundamental steps of ship type optimization.By incorporating variable complexity methods into the optimization process,the platform addresses issues such as long optimization times and high computational costs,thereby enhancing its functionality and optimization capabilities.Using this platform,drag reduction optimization is performed on the KCS bulbous bow of container ships,and the newly designed ship form demonstrates superior drag performance compared to the original form.This verifies the correctness and feasibility of the platform and lays the foundation for further expansion of its functionalities.

关 键 词：船型优化平台 可视化编程环境 变复杂度方法 代理模型 球鼻艏 

分 类 号：U662.2[交通运输工程—船舶及航道工程] U661.31[交通运输工程—船舶与海洋工程]