摘要
[目的]为了降低船体在波浪中的阻力并改善其耐波性,将给船体添加合适的附体,如减摇鳍和压浪板。[方法]首先,对仅在船艏添加减摇鳍和在船艉添加压浪板,以及在船艏、船艉均添加附体的3艘船采用黏流求解器naoe-FOAM-SJTU进行数值计算,并将这3艘船各自的阻力及纵摇与未添加附体的KCS船体进行对比;然后,通过改变减摇鳍宽度与压浪板长度得到30艘样本船,且对各样本船进行特定工况下的水动力性能评估;最后,根据各变形船的数值计算结果建立Kriging模型,依据该模型,利用遗传算法达到关于船体总阻力及纵摇幅值的Pareto前沿,再从中选取3艘典型的优化变形船进一步予以验证分析。[结果]结果显示,优化后的KCS船体在一个遭遇周期内纵摇幅值和平均阻力最大降幅分别达12.7%和12.5%。[结论]研究表明,在迎浪工况下,通过为KCS船体添加压浪板和减摇鳍,以及针对附体主尺度的优化,可以有效降低其在波浪中的总阻力,优化纵摇幅值。
[Objectives]This study seeks to optimize the total resistance and seakeeping performance of ships sailing in waves by adding appendages and changing their size.[Methods]First,numerical calculations are performed on a KCS ship with two anti-pitching fins and a stern flap,and both kinds of appendage separately,to study the effects of the appendages on the hull.Second,thirty KCS ships with deformed appendages are obtained by changing the width of the anti-pitch fins and the length of the stern flap.The in-house viscous flow solver naoe-FOAM-SJTU is used for the calculations.Third,a Kriging surrogate model is established and applied to a multi-objective genetic algorithm to obtain the Pareto front of the hull with optimal appendages.Three KCS ships with optimal appendages are selected from the Pareto front for further analysis.[Results]By adding appendages to a KCS ship,the pitch magnitude and average total resistance in an encounter period are reduced by about 12.7%and 12.5%respectively.[Conclusions]The resistance and pitch magnitude of a KCS ship in head waves can be optimized by adding appendages such as anti-pitch fins and stern flaps,and changing their principal dimensions.
作者
李乐宇
吴建威
万德成
LI Leyu;WU Jianwei;WAN Decheng(Computational Marine Hydrodynamics Laboratory,Shanghai Jiao Tong University,Shanghai 200240,China;School of Naval Architecture,Ocean and Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Wuhan Second Ship Design and Research Institute,Wuhan 430205,China)
出处
《中国舰船研究》
CSCD
北大核心
2022年第2期63-72,共10页
Chinese Journal of Ship Research
基金
国家自然科学基金资助项目(51879159,52131102)
国家重点研发计划资助项目(2019YFB1704200)。
