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Time-dependent structural reliability analysis: A single-loop approximate Bayesian active learning quadrature approach
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DOI：10.1016/j.ymssp.2025.113473.png)
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Abstract
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• A single-loop approximate Bayesian active learning approach for time-dependent reliability analysis. • Approximate Bayesian inference framework avoids the intractability of exact Bayesian inference. • An uncertainty measure for the time-dependent failure probability estimator. • A new stopping criterion for assessing the convergence of the learning process. • Two novel learning functions for selecting the best next evaluation point.
Keywords:
Time-dependent reliability analysis
Bayesian active learning
Gaussian process regression
Stopping criterion
Learning function
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