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Adaptive Gaussian process emulators for efficient reliability analysis · Study

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ArticleAdaptive Gaussian process emulators for efficient reliability analysis

Petar O. Hristov2019

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Articlebronze2019

Adaptive Gaussian process emulators for efficient reliability analysis

Petar O. Hristov · Francisco Alejandro DiazDelaO · Umer Farooq · Krzysztof J. Kubiak

15 citations·0/0 files stored·Applied Mathematical Modelling

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Probabilistic and Robust Engineering Design Reliability and Maintenance Optimization Gaussian Processes and Bayesian Inference

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References

2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code 2001Estimation of small failure probabilities in high dimensions by subset simulation 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions 2009Choosing the Sample Size of a Computer Experiment: A Practical Guide 2006Bayesian analysis of computer code outputs: A tutorial 2000Kollár Ádám Ferenc levelezése

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2019Efficient estimation of extreme quantiles using adaptive kriging and importance sampling 2021Robust optimisation of computationally expensive models using adaptive multi-fidelity emulation 2022Separation Reliability Analysis for the Low-Shock Separation Nut with Mechanism Motion Failure Mode 2023Subset simulation for probabilistic computer models

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Details

Year2019

Typearticle

Published2019-02-13

VenueApplied Mathematical Modelling

ISSN-L0307-904X

Languageen

Citations15

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.apm.2019.02.014

openalex_workW2912804187

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