近年来，集装箱船向大型化趋势发展，甲板堆箱不断增加，对绑扎桥的设计要求随之不断提高，绑扎桥下加强结构也需要承受更大的载荷。本文以某大型集装箱船为研究对象，对绑扎桥及舱口围结构进行有限元强度计算，分析整体的应力分布特点。采用基于改进遗传算法的双向渐进结构优化法（G-BESO），对绑扎桥下加强结构进行拓扑优化设计，在保证结构安全性的前提下，有效减轻绑扎桥下加强的结构重量，提高经济性。
In recent years, with the development of large container ships and the continuous increase of container stacking on the deck, design requirements of lashing bridge continuously improve. Accordingly, the reinforcement structure under lashing bridge bears higher loads. In this paper, strength calculation of lashing bridge and hatch coaming was first carried out using finite element method to conclude stress distribution characteristics. Thereafter, a bi-directional evolutionary structural optimization method based on improved genetic algorithm (G-BESO) was used to conduct topology optimization of reinforcement structure under lashing bridge. On the premise of safety, it effectively reduces the structural weight and improves the economy.
2023,45(8): 5-9 收稿日期：2022-06-20
DOI：10.3404/j.issn.1672-7649.2023.08.002
分类号：U663
作者简介：叶星宏(1996-),男,硕士,助理工程师,研究方向为船舶结构与振动
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