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Time-dependent reliability analysis by a single-loop Bayesian active learning method using Gaussian process regression
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DOI：10.1016/j.cma.2025.118092.png)
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Abstract
En 中文
• Single-loop Bayesian active learning method for time-dependent reliability analysis. • Proposed method integrates Bayesian integration and Bayesian optimization. • A novel stopping criterion proposed to halt the active learning process. • Three new learning functions proposed to identify the optimal next time instant. • A new learning function introduced to identify the best next sample given the time instant.
Keywords:
Time-dependent reliability analysis
Bayesian active learning
Gaussian process regression
Stopping criterion
Learning function
Journal
IF:
7.3
Papers:
1.3W
Citations:
5.6W
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