上海交通大学学报

上海交通大学学报 ›› 2020, Vol. 54 ›› Issue (10): 1101-1107.doi: 10.16183/j.cnki.jsjtu.2019.159

• 学报（中文） • 上一篇    下一篇

船体三维曲板展开方法多目标优化模型

兰宏凯1,2，柳存根1,2，聂鑫3   

  1. 1. 上海交通大学 海洋工程国家重点实验室， 上海 200240； 2. 上海交通大学，高新船舶与深海开发装备协同创新中心， 上海 200240； 3. 大连船舶重工集团有限公司， 辽宁 大连 116021
  • 收稿日期:2019-06-10 出版日期:2020-10-28 发布日期:2020-11-09
  • 通讯作者: 柳存根，男，教授，博士生导师；E-mail: cgliu@sjtu.edu.cn.
  • 作者简介:兰宏凯（1994-），男，辽宁省辽阳市人，硕士生，主要研究方向为船体曲板的智能成型.
  • 基金资助:
    工信部高技术船舶科研计划重大专项（17GFB-ZB02-194）资助项目

Multi-Objective Optimization Model for Expansion Method of Three-Dimensional Curved Hull Plate

LAN Hongkai1,2,LIU Cungen1,2,NIE Xin3   

  1. 1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; 2. Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University, Shanghai 200240, China; 3. Dalian Shipbuilding Industry Co., Ltd., Dalian 116021, Liaoning, China
  • Received:2019-06-10 Online:2020-10-28 Published:2020-11-09

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摘要： 为了有效推进无余量造船的精益造船方法，充分考虑船体三维曲板展开后的板材套料和板材成形等后续工艺环节，基于单元等长展开方法，提出船体三维曲板展开优化模型.以面积误差、边缘线性和平均应变能为目标函数，采用带有启发算子的多目标文化基因算法对船体三维曲板展开优化模型进行求解，基于层次分析法对多组求解所得的方案进行选择，获得最终的展开曲面.通过与测地线法的展开结果进行对比，验证该优化算法的有效性，同时进一步验证了算法中局部搜索算子和启发算子的有效性.

Abstract: In order to effectively improve the management of ship building process, an optimization model for expansion of three-dimensional curved hull plate is proposed based on an expansion method with a constant unit length, taking the steel plate cutting and plate conforming technology into full consideration. The error of area, linear degree of borders, and mean strain energy are taken as objective functions. The multi-objective memetic algorithm (MOMA) with heuristic operator is adopted to solve the optimization model of three-dimensional curved plate expansion of ship hull. Based on the analytic hierarchy process(AHP) method, multiple solutions are selected to obtain the final expansion surface. By comparing with the geodesic expansion results, the effectiveness of the optimization algorithm is verified. Besides, the effectiveness of local search operator and heuristic operator in the algorithm is further verified.

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