Time-dependent reliability analysis by a single-loop Bayesian active learning method using Gaussian process regression

doi:10.1016/j.cma.2025.118092

Time-dependent reliability analysis by a single-loop Bayesian active learning method using Gaussian process regression

2025-06-05

0

OA

AI

C

Chao Dang

M

Marcos A. Valdebenito

M

Matthias G.R. Faes

DOI：10.1016/j.cma.2025.118092

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Abstract

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• 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

Time-dependent reliability analysis by a single-loop Bayesian active learning method using Gaussian process regression

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