关键词: 过程分解, 耦合度, 复杂度, 区间不确定性, 多学科设计优化, 可重复运载器

Abstract: To reduce the computational cost of Uncertainty Multidisciplinary Design Optimization (UMDO),a decomposition method based on interval uncertainty was presented.The optimization model of process decomposition of time-consuming diversity considered the repetitive execution of same discipline.Based on the definition of coupling degree between disciplines and complexity degree of disciplines,the Interval Coupling Strength Design Structure Matrix (ICSDSM) and Interval Computational Cost Matrix (ICCM) were constructed to assess the coupling degree and computational complexity of the system.The decomposition optimization flow based on genetic algorithm was constructed to find the smallest time-consuming decomposition solution.A UMDO example was introduced to verify the proposed method.The simulation results showed that the above method could significantly reduce the overall computing costs,and had universality and easy operation.

Key words: process decomposition, coupling degree, complexity, uncertainty, multidisciplinary design optimization, reusable launch vehicle