2200箱集装箱船球鼻首优化
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摘要
航运业的发展必然伴随着能源的大量消耗,船舶节能减排迫在眉睫,球鼻首型线设计对船舶的节能减排、发展绿色船舶技术意义重大。以2 200箱集装箱船为研究对象,使用CAESES软件对球鼻首部分进行参数化建模,对比参数化前后船体模型的静水力数据,以确保球鼻首参数化之后模型的精确度,集成SHIPFLOW软件,以兴波阻力为目标函数,使用遗传算法对球鼻首参数化之后的船型进行阻力性能优化。结果显示,该船型在设计航速19 kn下进行优化之后,兴波阻力降低了4.137%,总阻力也得到改善,优化之后的船型在低速15 kn时阻力也相对有很大降低。
Inevitably, the development of the shipping industry is accompanied by a large number of energy consumption, the technology of energy conservation and emission reduction in marine field is imminent, the design of bulbous bow is of great significance to save energy and promote the development of Green Ship Technology. The 2 200 container ship is selected as the research object, using the CAESES to build a parametric bulbous bow model, and comparing the hydrostatic data of hull with parametric bulbous bow model with the original data of hull to ensure the accuracy of the parametric bulbous bow. CAESES is integrated with SHIPFLOW and the wave resistance is taken as the objective function, optimize the resistance performance of the hull with parametric bulbous bow by genetic algorithm. The result shows that the wave resistance has been reduced by 4.137% at design speed(19 kn) after optimization, the total resistance is also inclined and the resistance is also greatly reduced at low speed(15 kn).
Inevitably, the development of the shipping industry is accompanied by a large number of energy consumption, the technology of energy conservation and emission reduction in marine field is imminent, the design of bulbous bow is of great significance to save energy and promote the development of Green Ship Technology. The 2 200 container ship is selected as the research object, using the CAESES to build a parametric bulbous bow model, and comparing the hydrostatic data of hull with parametric bulbous bow model with the original data of hull to ensure the accuracy of the parametric bulbous bow. CAESES is integrated with SHIPFLOW and the wave resistance is taken as the objective function, optimize the resistance performance of the hull with parametric bulbous bow by genetic algorithm. The result shows that the wave resistance has been reduced by 4.137% at design speed(19 kn) after optimization, the total resistance is also inclined and the resistance is also greatly reduced at low speed(15 kn).
引文
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[3]HYUNYUL KIM,CHI Yang.A new surface modification approach for CFD-based hull form optimization[C]//9th International Conferences on Hydrodynamics,2010,10:11-15.
[4]胡春平.基于Friendship的船体型线优化技术研究[D].武汉:武汉理工大学,2012.
[5]黄金森.基于最小阻力的船型优化研究[D].天津:天津大学,2006.
[6]邓贤辉,方昭昭,赵丙乾,等.基于计算流体动力学的最小阻力船型自动优化[J].中国舰船研究,2015,10(3):19-25.
[7]谢宜,王长雷.基于小生境遗传算法的单体船船型参数优化[J].舰船科学技术,2011,33(3):35-38.
[8]李华昌,谢淑兰,易忠胜.遗传算法的原理与应用[J].矿冶,2005(01):87-90.
[9]辛吉诚.未来大型集装箱船发展趋势[J].中国船检,2015(02):92-95.
[10]张华,王超峰.超低速航行及其经济效益浅析[J].航海,2010(02):44-46.