摘要
为了获取合理且高效的船用螺旋桨,把数值优化算法引用到螺旋桨剖面设计中来。设计过程中以遗传算法和模拟退火算法为优化算法,以提高敞水效率为优化目标,通过优化算法的操作产生新翼型剖面,并结合面元法水动力性能预报程序进行原型桨与设计桨的水动力性能预报。由结果分析可知:结合优化算法的螺旋桨设计是可行的,且在算例中各算法的设置条件下,模拟退火算法无论在优化效果上还是在优化效率上都比遗传算法表现卓越。
In order to obtain a reasonable and effective marine propeller, the numerical optimization algorithm is used in the design of the propeller profile. Taking improving water efficiency as the optimization target, and genetic algorithm （GA） and simulated annealing algorithm as the optimal algorithm, the new type of profile is produced through operating the optimization algorithm. Combining the program of hydrodynamic performance forecast by panel method, the hydrodynamic performance forecast of prototype and optimization oars is done. The result shows that the optimization design of propeller by optimization algorithm is feasible. The simulated annealing algorithm is better than genetic algorithm （GA） both in optimization efficiency and optimization effect.
出处
《船舶工程》
北大核心
2013年第3期23-26,共4页
Ship Engineering
基金
国家自然科学基金项目(41176074)
中国博士后科学基金面上资助项目(2012M512133)
中央高校基本科研业务费专项资金资助(P013513013)
关键词
敞水效率
遗传算法
模拟退火算法
面元法
优化设计
open water efficient
genetic algorithm
simulated annealing algorithm
panel method,＂ optimization design
