A novel method for reliability analysis with interval parameters based on active learning Kriging and adaptive radial‐based importance sampling

DOI10.1002/nme.6968OpenAlexW4220879432MaRDI QIDQ6090734

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Publication date: 17 November 2023

Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nme.6968

zbMATH Keywords

monotonicityreliability analysisactive learning krigingadaptive radial based importance samplinginterval distribution parameter

Mathematics Subject Classification ID

Systems theory; control (93-XX) Statistics on algebraic and topological structures (62Rxx) Statistical sampling theory and related topics (62Dxx)

Cites Work

• Uncertainty propagation of p-boxes using sparse polynomial chaos expansions
• An application of the kriging method in global sensitivity analysis with parameter uncertainty
• A novel methodology of reliability-based multidisciplinary design optimization under hybrid interval and fuzzy uncertainties
• A novel projection outline based active learning method and its combination with Kriging metamodel for hybrid reliability analysis with random and interval variables
• A new learning function for kriging and its applications to solve reliability problems in engineering
• A new reliability method for small failure probability problems by combining the adaptive importance sampling and surrogate models
• Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables
• Advances in Bayesian decision making in reliability
• Efficient reliability analysis based on adaptive sequential sampling design and cross-validation
• A new method for reliability analysis of structures with mixed random and convex variables
• Representation of analysis results involving aleatory and epistemic uncertainty

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