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Multi-fidelity Kriging method based on active and ensemble learning for structural reliability analysis
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DOI：10.1016/j.aei.2026.104411.png)
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Abstract
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• A multifidelity-Kriging method based on active and ensemble learning are developed. • Position and fidelity of next sample are determined by the comprehensive function. • Double stability termination criterion balances the accuracy and efficiency. • Learning functions and three fidelity-connecting factors are extracted. • Results of five numerical examples & two application cases show superior performance.
Keywords:
Multi-fidelity Kriging
Active learning
Ensemble learning
Structural reliability analysis
Surrogate modeling
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