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首页> 外文期刊>Journal of marine science and technology >A universal prototype design framework of the stem and stern contours of hull surface and the self-adaptive solving strategy
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A universal prototype design framework of the stem and stern contours of hull surface and the self-adaptive solving strategy

机译：船体表面干stem轮廓的通用原型设计框架及自适应求解策略

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摘要

Ship geometry reconstruction technology is a key technique and research focus in the ship design. And the optimization algorithm used in the ship design is always a hot research area. To establish the control points’ distribution model database of characteristic curves, based on the NURBS control mesh of the hull surface, an approach to approximate the initial stem and stern contours of hull form modeling using the concept of parametric generation is proposed. The optimization model is constructed with the homogeneous coordinate component of the fitted contour’s control points as the design variables. The objective function is set to minimize the maximum relative difference among the longitudinal coordinates of the approximated contour and the original ones corresponding to the same drafts. The appropriate constraints are set according to the characteristics of the contours and the geometrical characteristic of NURBS. Considering a number of empirical knowledge existing in the process of ship design, and the conventional quantum-behaved particle swarm optimization (QPSO) algorithm depending upon good initial population, the immune quantum-behaved particle swarm optimization (IQPSO) is specifically designed and used to solve this complex nonlinear constrained optimization problem through the immune operator of the immune genetic algorithm combining with the QPSO algorithm. Meanwhile, the self-adaptive constraint evolution strategy is proposed to improve the IQPSO algorithm. The simulation results of the full-scale ship’s contours demonstrate the feasibility and effectiveness of the proposed algorithm and method.
机译：船舶几何重构技术是船舶设计中的关键技术和研究重点。船舶设计中使用的优化算法一直是研究的热点。为了建立特征曲线的控制点分布模型数据库，基于船体表面的NURBS控制网格，提出了一种利用参数生成的概念来近似船体造型模型的初始船首和船尾轮廓的方法。以拟合轮廓的控制点的齐次坐标分量作为设计变量来构建优化模型。设定目标函数是为了使近似轮廓的纵向坐标与对应于相同吃水深度的原始轮廓的纵向坐标之间的最大相对差异最小。根据轮廓的特征和NURBS的几何特征设置适当的约束。考虑到舰船设计过程中已有的一些经验知识，以及依靠良好初始种群的常规量子行为粒子群优化（QPSO）算法，专门设计了免疫量子行为粒子群优化（IQPSO）并用于通过将免疫遗传算法的免疫算子与QPSO算法相结合，解决了这一复杂的非线性约束优化问题。同时，提出了一种自适应约束演化策略来改进IQPSO算法。全尺寸船舶轮廓的仿真结果证明了所提算法和方法的可行性和有效性。

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  • 来源
    《Journal of marine science and technology》 |2018年第2期|399-411|共13页
  • 作者

    Yanru Zhang; Yan Lin; Conghong Lu;

  • 作者单位

    School of Naval Architecture and Ocean Engineering, Dalian University of Technology;

    School of Naval Architecture and Ocean Engineering, Dalian University of Technology,State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology;

    School of Naval Architecture and Ocean Engineering, Dalian University of Technology;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hull form; Stem and stern contours; NURBS; Approximation; SACES; IQPSO;

    机译：船体形式;船尾轮廓;NURBS;近似;SACES;IQPSO;

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