论文部分内容阅读
在气动反设计中引进了基于自然选择和生物遗传机制的遗传算法,针对遗传算法的搜索原理和气动外形特点,提出了与之相适应的B样条基因表达,构造了均匀变异与非均匀变异相结合的自适应变异算子,提出了用于优化设计的适应函数,发展了一种小种群演化方法。文中并以全位势方程求解程序为例,进行了翼型重构反设计,验证了本方法的可行性,然后在此基础上进行了基于阻力极小的优化设计,取得了令人满意的结果。
A genetic algorithm based on natural selection and biological genetic mechanism was introduced in the aerodynamic design. According to the search principle and aerodynamic characteristics of genetic algorithm, a corresponding B-spline gene expression was proposed, and the uniform and non-uniform variation A combination of adaptive mutation operator, put forward to adapt to the design of adaptive functions, the development of a small population evolution method. In this paper, an all-potential equation solving program is taken as an example. The inverse design of airfoil reconstruction is carried out to verify the feasibility of this method. Based on this, an optimized design based on minimal resistance is achieved, and a satisfactory result.