.png){kind=icon}
返回
A novel fidelity selection strategy-guided multifidelity kriging algorithm for structural reliability analysis
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ress.2021.108247.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Multifidelity (MF) surrogate models have recently attracted intensive attention due to their advantage of reducing computational demand by fusing multiple sources of data. However, their applications in reliability analyses with active learning processes are scarce because of lack of effective strategies for determining locations and fidelities of updated samples. To circumvent this bottleneck, a new active learning-based MF kriging method for reliability analysis via RU learning function and BSC-Believer fidelity selection strategy is proposed. The proposed approach employs a two-phase operation to determine location and fidelity of the updated sample in each iteration. In the first stage, the location of the updated sample is ascertained via learning function RU, which has excellent performance regarding the tradeoff between exploration and exploitation. Then, the BSC-Believer strategy is introduced by combining the estimated relative error of the failure probability, the kriging believer concept, and a cost function to select the optimal fidelity for updating. Through the BSC-Believer strategy, the appropriate fidelity for reducing failure probability prediction uncertainty within a unit of computational demand is identified. It is demonstrated through five examples that the proposed algorithm is superior to the recently reported approaches in reducing the computational burden of maintaining the desired estimation accuracy.
Keyword:
Reliability analysis
Multifidelity kriging model
Fidelity selection
Active learning process
Uncertainty quantification
期刊
R
IF:
11
论文数:
9.0K
被引数:
4.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
On the Development and Applications of Cellulosic Nanofibrillar and Nanocrystalline Materials纤维素纳米原纤和纳米晶材料的发展与应用
PREAI
分享收藏Sequential exploration-exploitation with dynamic trade-off for efficient reliability analysis of complex engineered systems动态权衡的顺序探索-开发，用于复杂工程系统的有效可靠性分析
OAAI
OAAI分享收藏
查看更多内容