An efficient approach to probabilistic uncertainty analysis in simulation-based multidisciplinary design

Xiaoping Du, Wei Chen

Research output: Contribution to conferencePaperpeer-review

29 Scopus citations

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 languageEnglish (US)
DOIs
StatePublished - 2000
Externally publishedYes
Event38th Aerospace Sciences Meeting and Exhibit 2000 - Reno, NV, United States
Duration: Jan 10 2000Jan 13 2000

Other

Other38th Aerospace Sciences Meeting and Exhibit 2000
CountryUnited States
CityReno, NV
Period1/10/001/13/00

ASJC Scopus subject areas

  • Space and Planetary Science
  • Aerospace Engineering

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