期刊文献+

Computational Fluid Dynamics Based Bulbous Bow Optimization Using a Genetic Algorithm 被引量:5

Computational Fluid Dynamics Based Bulbous Bow Optimization Using a Genetic Algorithm
下载PDF
导出
摘要 计算液体动力学(CFD ) 在预言一艘轮船的流动行为起一个主要作用。与快计算机和柔韧的 CFD 软件的开发, CFD 在轮船工业为设计者和工程师成为了一个重要工具。在这份报纸,一艘轮船的壳形式作为一个优化工具作为一个计算工具和一个基因算法用 CFD 为全部的抵抗被优化。CFD 基于优化由基于设计参数包含几何学的自动产生的主要的步组成,网孔的自动产生,液体的自动分析计算要求的目的 / 费用的流动功能,并且最后为优化评估费用的一个优化工具。在这篇论文,一个基因算法程序的集成,在 MATLAB 写,与几何学和协调软件带风险的策略和 CFD 分析软件被执行流畅。添加剂的不同几何学球状的鞠躬基于设计参数在原来的壳被合并。这些设计变量被优化完成全部的抵抗的最小的费用功能。有 CFD 工具的一个基因算法的集成证明为壳形式优化有效。 Computational fluid dynamics (CFD) plays a major role in predicting the flow behavior of a ship. With the development of fast computers and robust CFD software, CFD has become an important tool for designers and engineers in the ship industry. In this paper, the hull form of a ship was optimized for total resistance using CFD as a calculation tool and a genetic algorithm as an optimization tool. CFD based optimization consists of major steps involving automatic generation of geometry based on design parameters, automatic generation of mesh, automatic analysis of fluid flow to calculate the required objective/cost function, and finally an optimization tool to evaluate the cost for optimization. In this paper, integration of a genetic algorithm program, written in MATLAB, was carried out with the geometry and meshing software GAMBIT and CFD analysis software FLUENT. Different geometries of additive bulbous bow were incorporated in the original hull based on design parameters. These design variables were optimized to achieve a minimum cost function of "total resistance". Integration of a genetic algorithm with CFD tools proves to be effective for hull form ootimization.
出处 《Journal of Marine Science and Application》 2012年第3期286-294,共9页 船舶与海洋工程学报(英文版)
关键词 计算流体动力学 遗传算法 优化利用 球鼻艏 CFD软件 优化工具 船舶行业 几何形状 bulbous bow genetic algorithm computational fluid dynamics (CFD) total resistance
  • 相关文献

参考文献13

  • 1/ Chen Y J, Chau SW, Kouth JS (2002). Application of two-pha fluid approach for free-surface ship flow simulation. Journal I the Chinese Institute of Engineers, 25(2), 179-188. /.
  • 2Dejhalla R, Mra Z, Vukovi6 S (2001). Application of genetic algorithm for ship hull form optimization, lnt. Shipbuild. Progr., 48(2), 117-133.
  • 3Dejhalla R, Mra Z, Vukovi6 S (2002). A genetic algorithm approach to the problem of minimum ship wave resistance. Marine Technology, 39(2), 187-195.
  • 4Fonfach JM, Soares CG (2010). Improving the resistance of a series 60 vessel with a CFD code. Proceedings of the Fifth European Conference on Computational Fluid Dynamics (ECCOMAS CFD), Lisbon, Portugal, 1-14.
  • 5Holland JH (1975). Adaptation in natural and artificial systems. University of Michigan Press, Ann Arbor, Michigan.
  • 6Jacquin E, Bellevere D, Alessandrini B, Cordier S (2002). Yacht optimisation based on genetic algorithm using RANSE solver. High Performance Yacht Design Conference, Auckland, 1-8.
  • 7Kracht AM (1978). Design of bulbous bows. SNAME Transactions, 86, 197-217.
  • 8Lin CW, Percival S, Gotimer EH (1995). Viscous drag calculations for ship hull geometry. 9th International Conference on Numerical Methods in Laminar and Turbulent Flow, Atlanta, GA, 1209-1222.
  • 9w_ Ozdemir YH, Bayraktar S, Yllmaz T (2007). Computational investigation of a hull. 2a International Conference on Maritime Research and Transportation ICMRT, Ischia, Naples, Italy, 145-149.
  • 10Perez F, Suarez JA, Clemente JA (2007). Geometric modelling of bulbous bows with the use of non-uniform rational B-spline surfaces. Journal of Marine Science and Technology, 12, 83-94.

同被引文献29

引证文献5

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部