.png){kind=icon}
返回
A time-dependent reliability analysis method based on multi-level meta-models for problems involving interval variables
.png){kind=icon}
PRE
AI
DOI：10.1016/j.probengmech.2022.103369.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a new time-dependent reliability analysis method based on a two-level meta-models technique for problems with interval variables, through which the upper and lower bounds of reliability indexes of structures within a given design lifetime period can be obtained efficiently. Firstly, the time parameter, interval and stochastic process parameters in the performance function are transformed into the corresponding random variables. Secondly, the polynomial chaos expansion (PCE) approach is adopted for using an approximate polynomial expression to accurately surrogate the complex original performance function. Thirdly, the Kriging meta-model of time-dependent reliability index about the interval variables is constructed based on the approximate expression, and the upper and lower bounds of the reliability index are calculated with the efficient global optimization (EGO) method. Finally, the effectiveness of the proposed method is verified by investigating three numerical examples.
Keyword:
Time-dependent reliability analysis
Interval variable
Two-level meta-models
Polynomial chaos expansion
Kriging model
期刊
IF:
3.5
论文数:
1.7K
被引数:
4.1K
机构
暂无机构信息
引用论文
.png){kind=icon}
Principal component analysis and polynomial chaos expansion for time-variant reliability problems
PREAI
分享收藏
查看更多内容