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- W2334500812 abstract "[Abstract] A primary challenge of stochastic analysis is to discover rigorous ways to forecast the low probability of failure which is critical to reliability constraints. In this paper, a new framework is proposed for the accurate estimation of the low failure probability. Combining the excellent advantages of the polynomial chaos expansion, Karhunen-Loeve transform, and local regression method will result in a new simulation-based modeling technique that enables the accuracy of the structural integrity prediction. The proposed procedure can allow for realistic modeling of sophisticated statistical variations and facilitate in order to achieve improved reliability by eliminating unnecessary conservative approximations. Several specific examples are depicted to illustrate how the method is used to provide a quantitative basis for developing robust designs associated with the low probability of failure." @default.
- W2334500812 created "2016-06-24" @default.
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- W2334500812 date "2008-04-07" @default.
- W2334500812 modified "2023-09-24" @default.
- W2334500812 title "Reliability Assessment via Stochastic Expansion with Local Regression Method" @default.
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- W2334500812 doi "https://doi.org/10.2514/6.2008-1982" @default.
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