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Quantified active learning Kriging model for structural reliability analysis · Study

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ArticleQuantified active learning Kriging model for structural reliability analysis

Ioannis Prentzas2024

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Articlegreen2024

Quantified active learning Kriging model for structural reliability analysis

Ioannis Prentzas · Michalis Fragiadakis

21 citations·0/0 files stored·Probabilistic Engineering Mechanics

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Probabilistic and Robust Engineering Design Geotechnical Engineering and Analysis Gaussian Processes and Bayesian Inference

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References

2017Structural Reliability Analysis and Prediction 2001Estimation of small failure probabilities in high dimensions by subset simulation 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation 2012Reliability of Structures 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions 2014UQLab: A Framework for Uncertainty Quantification in Matlab 2001Reliability analysis—a review and some perspectives 2004Application of kriging method to structural reliability problems

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2025Optimizing uncertainty estimation in Enhanced Monte Carlo methods 2025An adaptive Kriging-based method for reliability analysis with a new learning strategy

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2023Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive reviewarticle · 13 shared references 2022Small failure probability: principles, progress and perspectivesarticle · 12 shared references 2021A generalized framework for active learning reliability: survey and benchmarkpreprint · 12 shared references 2017Two accuracy measures of the Kriging model for structural reliability analysisarticle · 11 shared references 2019Reliability Analysis Using Adaptive Kriging Surrogates with Multimodel Inferencearticle · 11 shared references 2023An efficient and versatile Kriging-based active learning method for structural reliability analysisarticle · 11 shared references

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Year2024

Typearticle

Published2024-10-01

VenueProbabilistic Engineering Mechanics

ISSN-L0266-8920

Languageen

Citations21

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.probengmech.2024.103699

openalex_workW4403683162

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