.png){kind=icon}
.png){kind=icon}
Return
Structural time-dependent reliability analysis: An uncertainty-guided Bayesian probabilistic quadrature method with adaptive parallelization
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ress.2026.113231.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• An uncertainty-guided Bayesian probabilistic quadrature method is proposed. • A quasi-posterior standard deviation of time-dependent failure probability is defined. • A stopping criterion and a learning function are developed to support active learning. • An adaptive parallel sampling strategy is developed to enable parallel computing. • The superior performance of the proposed method is verified by four examples.
Keywords:
Time-dependent reliability analysis
Bayesian probabilistic quadrature
Active learning
Parallel computing
Gaussian process regression
Rare events
Journal
R
IF:
11
Papers:
813
Citations:
0
View more organizations