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Metamodel-based importance sampling for structural reliability analysis

3 May 2011

Papers citing "Metamodel-based importance sampling for structural reliability analysis"

26 / 26 papers shown

Title
Multifidelity Cross-validation Sudharshan Ashwin Renganathan Kade Carlson 94 0 0 01 Jul 2024
Quantifying Local Model Validity using Active Learning Sven Lämmle Can Bogoclu Robert Voßhall Anselm Haselhoff Dirk Roos 75 0 0 11 Jun 2024
Machine learning-based system reliability analysis with Gaussian Process Regression Lisang Zhou Ziqian Luo Xueting Pan 73 14 0 17 Mar 2024
Reliability analysis for data-driven noisy models using active learning Anderson V. Pires M. Moustapha S. Marelli Bruno Sudret AI4CE 28 2 0 19 Jan 2024
A Gaussian process based approach for validation of multi-variable measurement systems: application to SAR measurement systems C. Bujard Esra Neufeld Mark Douglas Joe Wiart Niels Kuster 26 3 0 23 Nov 2022
Validation of Composite Systems by Discrepancy Propagation David Reeb Kanil Patel Karim Barsim Martin Schiegg S. Gerwinn 86 2 0 21 Oct 2022
Transfer Importance Sampling -- How Testing Automated Vehicles in Multiple Test Setups Helps With the Bias-Variance Tradeoff Max Winkelmann Constantin Vasconi Steffen Müller 49 4 0 15 Apr 2022
Probabilistic Metamodels for an Efficient Characterization of Complex Driving Scenarios Max Winkelmann Mike Kohlhoff H. Tadjine Steffen Müller 54 9 0 06 Oct 2021
Sequential active learning of low-dimensional model representations for reliability analysis Max Ehre I. Papaioannou Bruno Sudret D. Štraub 65 10 0 08 Jun 2021
Active learning for structural reliability: survey, general framework and benchmark M. Moustapha S. Marelli Bruno Sudret AI4CE 63 167 0 03 Jun 2021
Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes Morgane Menz S. Dubreuil Jérome Morio C. Gogu N. Bartoli Marie Chiron 40 42 0 30 Nov 2020
Deep Importance Sampling based on Regression for Model Inversion and Emulation F. Llorente Luca Martino D. Delgado G. Camps-Valls 86 19 0 20 Oct 2020
Estimating a probability of failure with the convex order in computer experiments L. Bernard P. Leduc 23 2 0 03 Jul 2019
Adaptive surrogate models for parametric studies J. Fuhg 38 8 0 12 May 2019
Visualization of High-dimensional Scalar Functions Using Principal Parameterizations R. Ballester-Ripoll R. Pajarola 21 1 0 11 Sep 2018
Selecting Reduced Models in the Cross-Entropy Method P. Héas 21 5 0 05 Jun 2018
On Convergence of Moments for Approximating Processes and Applications to Surrogate Models A. Steland 19 0 0 28 Apr 2018
An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis S. Marelli Bruno Sudret 44 232 0 05 Sep 2017
Structural reliability analysis for p-boxes using multi-level meta-models R. Schöbi Bruno Sudret 36 103 0 10 May 2017
A subset multicanonical Monte Carlo method for simulating rare failure events Xinjuan Chen Jinglai Li 43 8 0 21 Dec 2016
Reliability analysis of high-dimensional models using low-rank tensor approximations K. Konakli Bruno Sudret 64 47 0 28 Jun 2016
Bayesian subset simulation Julien Bect Ling Li E. Vázquez 108 68 0 11 Jan 2016
Gaussian process surrogates for failure detection: a Bayesian experimental design approach Hongqiao Wang Guang Lin Jinglai Li 55 38 0 11 Sep 2015
Rare Event Simulation J. Beck Konstantin Zuev 36 2 0 20 Aug 2015
Polynomial-Chaos-based Kriging R. Schöbi Bruno Sudret J. Wiart 102 271 0 13 Feb 2015
Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure Ling Li Julien Bect E. Vázquez 97 27 0 09 Jul 2012