基于多粒度模型的导弹MDO方法研究

根据MDO环境的建模/仿真需求,针对某导弹多学科设计优化问题,分析了多粒度模型建模/仿真的必要性,以气动学科为例探讨了导弹MDO环境中多粒度模型的建模/仿真方法,研究了有限元分析软件FLUENT及其前处理软件GAMBIT的集成方法,并利用响应面分析、工程估算、数值计算三种方法对某导弹的气动学科进行多粒度的建模与解算,将输出的主要气动参数与风洞试验数据进行了比较与分析。研究结果表明多粒度模型的建模/仿真对提高导弹MDO效率具有重要意义。

Abstract：

According to the requirement of modeling and simulation in MDO environment, with consideration of missile’s Multidisciplinary Design Optimization problem, the necessity of modeling and simulation on multi-granularity model was analyzed. Taking pneumatic domain as an example, method of modeling and simulation on multi-granularity in missile’s MDO environment was discussed. The integration methods of finite element software FLUENT and its pre-processing software GAMBIT were studied. Through abundant experiments, data results of computing multi-granularity model were given using three methods, namely Response Surface Analysis, engineering prediction method and numerical computation method. Finally, comparison of the data got from above and from wind tunnel test was analyzed. The study results show that modeling and simulation on multi-granularity model are significant to improve MDO efficiency.

Research of Missile MDO Methods Based on Multi-granularity Model

According to the requirement of modeling and simulation in MDO environment, with consideration of missile’s Multidisciplinary Design Optimization problem, the necessity of modeling and simulation on multi-granularity model was analyzed. Taking pneumatic domain as an example, method of modeling and simulation on multi-granularity in missile’s MDO environment was discussed. The integration methods of finite element software FLUENT and its pre-processing software GAMBIT were studied. Through abundant experiments, data results of computing multi-granularity model were given using three methods, namely Response Surface Analysis, engineering prediction method and numerical computation method. Finally, comparison of the data got from above and from wind tunnel test was analyzed. The study results show that modeling and simulation on multi-granularity model are significant to improve MDO efficiency.