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Probability density evolution method for structural reliability analysis: A parallel Bayesian active learning perspective
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DOI：10.1016/j.compstruc.2025.107936.png)
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Abstract
En 中文
• Probability density evolution method is cast from Bayesian active learning perspective. • Bayesian inference of failure probability is conducted based on the Kriging prior. • A multi-point learning function is defined to reduce the uncertainty of failure probability. • Advantage of the goal-consistent batch enrichment strategy over others is clarified.
Keywords:
Probability density evolution method
Bayesian inference
Kriging prior
Failure probability
Multi-point learning function
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