A Supercavitation Regime Analysis Method Based on Genetic Algorithm
Genetic algorithm(GA) has a good robust and global optimization capability. In this paper, a supercavitation regime problem is transformed into an equivalent shape optimization problem by defining the objective function as a square error integral of pressure difference. Through combining the commercial CFD soft ANSYS with GA, this problem has been solved efficiently. Comparisons show that genetic algorithm is feasible and effective used in supercavitation flow analysis, the method is good for the reduction of computational complexity and more digestible. Meanwhile the frame can be expanded to study the cavitator optimization in which the regime optimization can be as a sub-optimization.
genetic algorithm supercavitation cavity regime optimization algorithm
Jun Jiang Zhong Liu Wenhua Liu Weiping Zhou
Department of Automation Navy Engineering University 717 JieFang Road,430033,Wuhan,China Institute of System Navy equipment Academy LiuLi Bridge,100073,Beijing,China
国际会议
上海
英文
472-475
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）