渔业现代化

渔业现代化杂志

• 论文 • 上一篇    下一篇

钢质海洋渔船中剖面结构优化设计

  

  1. （1 大连海洋大学航海与船舶工程学院，辽宁 大连 116023）
    （2 大连市渔船安全技术工程技术研究中心，辽宁 大连 116023）
  • 出版日期:2019-02-20 发布日期:2019-05-13
  • 作者简介:隋江华（1976—），女，教授，博士，研究方向：船型优化。E-mail:sjh@dlou.edu
  • 基金资助:
    辽宁省海洋与渔业厅项目“辽宁省标准化渔船选型工作（042217021）”；农业部渔船检验局项目“渔业船舶验船师教学虚拟平台建设（070517020）”

Optimization design of mid-section structure of steel fishing vessel

  1. (1 School of Navigation and Naval Architecture, Dalian Ocean University, Dalian 116023, Liaoning, China)
    (2 Dalian Fishing Vessel Safety Technology Engineering Research Center, Dalian 116023, Liaoning, China)
  • Online:2019-02-20 Published:2019-05-13

PDF (PC)

摘要： 绿色渔船是渔船未来发展必经之路，对渔船进行中剖面结构优化达到节能减排的目的可使之符合渔船发展趋势。采用改进蚁群算法对海洋渔船中剖面结构进行优化设计，选取纵向构件的板厚、剖面积、件间距等18个构件尺寸作为设计变量，建立以单位长度中剖面纵向构件质量轻量化的目标函数，根据《钢质海洋渔船建造规范（2015）》提取总纵强度等8个约束条件，从而建立海洋渔船中剖面结构优化数学模型。改进的蚁群算法对该模型进行优化计算，结果显示，43 m流刺网渔船的中剖面纵向结构舱段长度的质量共减轻12.43%，且改进后的蚁群算法更为适用于渔船结构优化设计。经过中剖面结构优化的渔船自重明显变轻，载货量增加，渔船经济性得到改善，渔船的能效水平得到了提高。

关键词: 蚁群算法, 结构优化, 渔船, 中剖面

Abstract:  Green fishing vessel is the only way for the future development of fishing vessels. The optimization of mid-section structure of fishing vessels to achieve the goal of energy saving and emission reduction can make it in line with the development trend of fishing vessels. The improved ant colony algorithm is adopted in the optimization design of the mid-section structure of fishing vessel, and 18 sizes including the thickness, sectional area and distance of longitudinal components are selected as design variables to establish objective function of lightweight mid-section longitudinal components as per unit length. According to the Code for Construction of Steel Fishing Vessels (2015), 8 constraints including total longitudinal strength are extracted to establish optimized mathematical model for mid-section structure of fishing vessels. The result of optimization calculation of the model with improved ant colony algorithm shows that the mass of mid-section longitudinal structure of 43m drift netter in cabin length is reduced by 12.43 in total, and the improved ant colony algorithm is more suitable for the structure optimization of fishing vessels. The dead weight of the fishing vessel subject to optimization of mid-section structure is obviously less, the cargo capacity is increased, the economical efficiency of the fishing vessel is improved, and the energy efficiency level of the fishing vessel is improved.

Key words: ant colony algorithm, structure optimization, fishing vessel, mid-section