Method for aerodynamic and structure integrative design
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摘要: 为解决气动结构一体化设计的工程应用,在传统并行子空间算法的基础上,深入分析了气动结构一体化设计的特点,在响应面构造上引入试验设计法,子空间优化中引入子空间设计的概念,系统级优化中引入Pareto遗传算法,提出了更加适合于气动结构多学科设计优化的基于Pareto遗传算法的并行子空间优化设计方法(CSSODM-PGA, Concurrent Subspace Optimization Design Method based on Pareto Genetic Algorithm),并将算法应用到机翼的气动结构多学科设计优化中,给出了合理的Pareto前沿面和可选方案.
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关键词:
- 并行子空间算法 /
- Pareto遗传算法 /
- 多学科设计优化 /
- Pareto前沿面
Abstract: In order to apply aerodynamic and structure integrative design to engineering practice, a concurrent subspace optimization design method based on Pareto genetic algorithm(CSSODM-PGA) which is much more suitable for aerodynamic and structure multidisciplinary design optimization is brought out based on the traditional concurrent subspace optimization(CSSO) algorithm and the analysis of characteristics of aerodynamic and structure integrative design. The CSSODM-PGA method developed in this study imports the method of the design of experiments (DOE) in response surface methodology (RSM), the subspace design concept in subspace optimization, and the Pareto genetic algorithm (PGA) in system level optimization. The developed method was used on an aerodynamic and structure multidisciplinary design optimization of a wing, and a Pareto front was obtained to give the decision-maker a more useful information. -
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