Abstract
In this paper, computationally efficient techniques for propagating the effect of uncertainty are developed to accommodateg enericp robabilistic representationso f uncertain parameters and error estimation models in a multidisciplinary design system. To improve the computational efficiency of probabilistic uncertainty propagation in the context of highly coupled analyses, the first order sensitivity analysis and the moment matching method are employed. This is implemented by two techniques, namely, the system uncertainty analysis method (SUAM) and the concurrent subsystem uncertainty analysis method (CSSUAM). Depending on the number of variables and the number of disciplines involved, the effectiveness of these techniques varies. A mathematical example and an electronic packaging problem are used to verify the effectiveness of these approaches.
Original language | English (US) |
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DOIs | |
State | Published - 2000 |
Externally published | Yes |
Event | 38th Aerospace Sciences Meeting and Exhibit 2000 - Reno, NV, United States Duration: Jan 10 2000 → Jan 13 2000 |
Other
Other | 38th Aerospace Sciences Meeting and Exhibit 2000 |
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Country | United States |
City | Reno, NV |
Period | 1/10/00 → 1/13/00 |
ASJC Scopus subject areas
- Space and Planetary Science
- Aerospace Engineering