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基于多学科优化软件Isight和计算流体力学软件NUMECA的平台,对试验设计、近似模型和优化算法相结合的优化策略进行集成,并通过程序语言Python进行界面开发,搭建了适用于核主泵水力模型的自动优化设计平台。利用该平台,以课题组自主设计的水力性能优良的核主泵模型泵作为研究对象,以CFD计算结果为基础,建立了反映设计变量与目标函数之间关系的近似模型,对核主泵叶轮几何形状及其与导叶入口距离之间的交互效应进行研究;并采用多岛遗传算法进行优化,获得了水力性能更加优良的水力模型。结果证明了初步构建的核主泵集成优化平台的实用性与采用优化策略针对过流部件进行优化的可行性与合理性。
Based on the multidisciplinary optimization software Isight and the computational fluid dynamics software NUMECA, the optimization strategy combining experimental design, approximate model and optimization algorithm was integrated and the interface was developed by programming language Python. The hydraulic model suitable for nuclear main pump Automatic optimization design platform. Based on the CFD calculation results, an approximate model reflecting the relationship between the design variables and the objective function is built on this platform. The main pump model pump with excellent hydraulic performance, which is independently designed by the research group, is taken as the research object. Geometry and its interaction with the guideway inlet distance were studied. The multi-island genetic algorithm was used to optimize the hydraulic model. The result proves the practicability of the preconstructed nuclear main pump integrated optimization platform and the feasibility and rationality of using the optimization strategy to optimize the overcurrent components.