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Time-Variant Reliability-Based Design Optimization Using an Equivalent Most Probable Point
DOI:10.1109/TR.2018.2823737.png)
摘要
En 中文
Although a series of decoupled or single loop methods have been developed for reliability-based design optimization (RBDO) problems to improve the computational efficiency, it seems hard to extend these strategies to time-variant RBDO due to the complexity of the problems brought by the involvement of time. This paper proposes a new approach for time-variant reliability-based design optimization, expecting to provide an efficient tool for design of some complex structure under time-variant uncertainties. The main idea of the proposed method is the definition of the equivalent most probable point (EMPP). With the EMPP, the original time-variant RBDO problem can be transformed into an equivalent time-invariant RBDO problem formulated by performance measure approach (PMA). Hence, the existing PMA-based time-invariant RBDO methods can be applied to solve the equivalent problem. Therefore, those RBDO methods can be easily extended to time-variant RBDO problems, and hence the computational cost can be effectively reduced. Finally, two numerical examples and an engineering application are used to demonstrate the effectiveness of the proposed method.
Keyword:
Most probable point (MPP)
performance measure approach (PMA)
reliability-based design optimization (RBDO)
time-variant reliability
stochastic process
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5.7
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2.7K
被引数:
8.5K
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引用论文
Reliability-based design optimization using kriging surrogates and subset simulation使用kriging代理和子集模拟的基于可靠性的设计优化

