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- W2000657452 abstract "This paper proposes three new advanced techniques for engineering reliability analysis. These are computational tools that interface with the physical behavior model of the system and use the statistical information about the primitive random variables to estimate the reliability. Three types of strategies have been used for such computation: analytical methods, response surface methods, and Monte Carlo simulation. All three strategies are improved for efficiency and accuracy with the proposed techniques. In the case of analytical methods, a multiple linear approximation of the limit state is proposed for the reliability estimation of highly nonlinear problems. For problems with large computational models, response surface approximation may be expensive. An alternative approach based on the kriging technique is proposed to overcome this hurdle. Similarly, the efficiency of Monte Carlo simulation is greatly improved by the use of an adaptive importance sampling technique." @default.
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- W2000657452 date "1999-04-12" @default.
- W2000657452 modified "2023-09-26" @default.
- W2000657452 title "Advanced reliability methods" @default.
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- W2000657452 doi "https://doi.org/10.2514/6.1999-1603" @default.
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