钢质海洋渔船中剖面结构优化设计

详细信息    查看全文 | 推荐本文 |

英文篇名：Optimization design of mid-section structure of steel fishing vessel 作者：隋江华 ; 阎冰 英文作者：SUI Jianghua;YAN Bing;School of Navigation and Naval Architecture,Dalian Ocean University;Dalian Fishing Vessel Safety Technology Engineering Research Center; 关键词：蚁群算法 ; 结构优化 ; 渔船 ; 中剖面 英文关键词：ant colony algorithm;;structure optimization;;fishing vessel;;mid-section 中文刊名：HDXY 英文刊名：Fishery Modernization 机构：大连海洋大学航海与船舶工程学院;大连市渔船安全技术工程技术研究中心; 出版日期：2019-02-15 出版单位：渔业现代化 年：2019 期：v.46;No.258 基金：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)” 语种：中文; 页：HDXY201901011 页数：7 CN：01 ISSN：31-1737/S 分类号：69-75

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其符合渔船发展趋势。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。
        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 of43 m 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.

引文

[1]农业部渔业渔政管理局.中国渔业统计年鉴(2017)[M].北京:中国农业出版社,2017:62-63.
    [2]贾涛宁.结构轻量化对船舶能效设计指数的影响研究[D].大连:大连理工大学,2016.
    [3]王艳艳.蚁群算法在油船结构优化设计中应用研究[D].哈尔滨:哈尔滨工程大学,2009.
    [4] PAYA I,YEPES V,GONZALEZ-VIDOSA F,et al.Multobjective optimization of concrete frames by simulatedannealing[J]. Computer-Aided Civil and InfrastructureEngineering,2008,23(8):596-610.
    [5] SEKULSKI Z. Multi-objective optimization of high speedvehicle-passenger catamaran by genetic algorithm:Part IIComputational simulations[J]. Polish Maritime Research,2011,18(2):3-18.
    [6]钦伦洋.基于拓扑优化的船舶结构轻量化研究[D].大连:大连海事大学,2016.
    [7]邓良.基于人工神经网络的船舶结构轻量化研究[D].济南:济南大学,2014.
    [8]郭晓.基于极限承载能力的江海直达船中剖面结构优化研究[D].武汉:武汉理工大学,2014.
    [9]方小安,胡云昌.结构可靠性优化设计的遗传算法[J].中国造船,1996(2):35-43.
    [10]GB 15114-2142.钢质海洋渔船建造规范(2015)[S].
    [11]刘宏亮.油船中剖面结构拓扑优化研究[D].上海:上海交通大学,2014.
    [12]杜旭升,戴彤宇.内河船舶结构T型材优化设计[J].黑龙江交通科技,2007,30(6):96-98.
    [13]VIANA F A,HAFTKA R T,WATSON L T. Efficient globaloptimization algorithm assisted by multiple surrogate techniques[J]. Journal of Global Optimization,2013,56(2):669-689.
    [14]黄文超,赵新颖,谌志新.海洋渔船捕捞安全性分析[J].渔业信息与战略,2015,30(1):40-44.
    [15]乔东平,裴杰,肖艳秋,等.改进蚁群算法及其应用综述[J].软件导刊,2017(12):217-221.
    [16] DORIGO M,CARO G D,GAMBARDELLA L M. AntAlgorithms for Discrete Optimization[J]. Artificial Life,1999,5(2):137-172.
    [17]肖艳秋,焦建强,乔东平,等.蚁群算法的基本原理及应用综述[J].轻工科技,2018,34(3):69-72.
    [18]周袅,葛洪伟,苏树智.基于信息素的自适应连续域混合蚁群算法[J].计算机工程与应用,2017,53(6):156-161.
    [19]高占锋.船舶结构优化设计方法比较研究[J].中国水运,2017,38(11):38-39.
    [20]杨中秋,张延华,郑志丽.基于改进蚁群算法对最短路径问题的分析与仿真[J].沈阳化工大学学报,2009,23(2):150-153.
    [21]金娇辉.小型双甲板远洋拖网渔船结构优化设计[J].船舶工程,2017(3):1-3.
    [22]刘闻.蚁群算法及其应用研究[D].北京:北京邮电大学,2014.