基于粒子群算法的船体分段吊装方案优化设计方法研究

发布时间：2018-06-11 23:40

本文选题：分段吊装 + 吊点布置　；参考：《中国造船》2016年03期

【摘要】：针对当前船体分段翻身方案设计中存在的可靠性不高、经验设计为主等问题,综合经济性和安全性进行优化设计研究。首先,对分段吊平面上的吊点进行适应度评估,初步确定眼板数量,得到一系列的吊点布置组合方案。其次,以吊装过程中分段的总体应变能最小为优化目标,综合吊装过程中的约束进行最优化建模。再次,引入粒子群优化算法,并借助Matlab和Ansys软件的数据交互,以实现吊点位置的最优化设计。最后,根据吊点位置和分段结构得到各吊点所布置眼板的类型和承载能力。
[Abstract]:In order to solve the problems of low reliability and experience design in the design of ship hull section turning scheme, the optimization design is studied based on economy and safety. Firstly, the fitness of the lifting points on the plane of the segmented suspension is evaluated, and the number of eye plates is preliminarily determined, and a series of combination schemes for the arrangement of the lifting points are obtained. Secondly, the optimization model is based on the constraints in the hoisting process, taking the minimum total strain energy of the segment in the hoisting process as the optimization objective. Thirdly, the particle swarm optimization algorithm is introduced, and the data interaction between Matlab and Ansys software is used to realize the optimal design of the lifting point position. Finally, the types and bearing capacity of the eye plates arranged by the lifting points are obtained according to the location of the lifting points and the segmental structure.
【作者单位】：大连理工大学船舶工程学院;大连理工大学工业装备结构分析国家重点实验室;
【分类号】：U671

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