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在复杂外形流场模拟的嵌合体技术中引入守恒型MFBI算法,以改进传统嵌合体技术中子域间流场信息传递不守恒的缺陷,在标准遗传算法基础上采用分段进化的方式,同时以大迎角状态下的升力系数作为设计目标,针对基础构型的前后缘缝道参数,进行了遗传优化设计。最终的设计结果表明,相较于初始构型,其最大升力系数有明显的提升,且具有良好的失速特性。同时在增升装置嵌合体流场分析和优化设计表明,所采用的守恒型嵌合体技术,在大迎角流场优化中相较于传统的非守恒格式,具有更好的精度以及收敛特性,优化结果得到了一定的提高。
Convergent MFBI algorithm is introduced in the chimera technique of flow field simulation with complex shape to improve the non-conservation of information flow between sub-domains in the traditional chimerism technology. Based on the standard genetic algorithm, the evolutionary segmentation is adopted, meanwhile, Taking the lift coefficient at high angle of attack as the design objective, the genetic optimization design was carried out for the parameters of the front and rear seam of the foundation structure. The final design results show that compared with the initial configuration, the maximum lift coefficient has been significantly improved, and has good stall characteristics. At the same time, the analysis and optimization of the flow field in the chimera of the lifting device show that the conservative chimera technology used in the optimization of the flow field at high angle of attack has better accuracy and convergence characteristics than the traditional non-conservative format, Optimization results have been improved to some extent.