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• W2074482912 abstract "With the increasing complexity of engineering systems, ensuring high system reliability and system performance robustness throughout a product life cycle is of vital importance in practical engineering design. Dynamic reliability analysis, which is generally encountered due to time-variant system random inputs, becomes a primary challenge in reliability-based robust design optimization (RBRDO). This article presents a new approach to efficiently carry out dynamic reliability analysis for RBRDO. The key idea of the proposed approach is to convert time-variant probabilistic constraints to time-invariant ones by efficiently constructing a nested extreme response surface (NERS) and then carry out dynamic reliability analysis using NERS in an iterative RBRDO process. The NERS employs an efficient global optimization technique to identify the extreme time responses that correspond to the worst case scenario of system time-variant limit state functions. With these extreme time samples, a kriging-based time predi..." @default.
• W2074482912 created "2016-06-24" @default.
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• W2074482912 date "2013-06-25" @default.
• W2074482912 modified "2023-09-27" @default.
• W2074482912 title "Dynamic reliability-based robust design optimization with time-variant probabilistic constraints" @default.
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• W2074482912 doi "https://doi.org/10.1080/0305215x.2013.795561" @default.
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