Process decomposition method of MDO based on interval uncertainty

被引：0

作者：

Gu L. ^{[1
]}

Wang R. ^{[1
]}

机构：

[1] State Key Laboratory of Aerospace Flight Dynamics, Northwest Polytechnical University, Xi'an

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2016年 / 22卷 / 03期

关键词：

Complexity; Coupling degree; Multidisciplinary design optimization; Process decomposition; Reusable launch vehicle; Uncertainty;

D O I：

10.13196/j.cims.2016.03.005

中图分类号：

TB23 [工程制图];

学科分类号：

摘要：

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. © 2016, CIMS. All right reserved.

引用

页码：622 / 629

页数：7

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