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Bayesian updating with adaptive, uncertainty-informed subset simulations: High-fidelity updating with multiple observations
16 references·8 citing·37 second hop
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with Struct…Assessment of the efficiency of Kriging surrogate models for structural reliability analysis (2014)Assessment of the efficiency …Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…AK-SYS: An adaptation of the AK-MCS method for system reliability (2013)AK-SYS: An adaptation of the …Reliability-based design optimization using kriging surrogates and subset simulation (2011)Reliability-based design opti…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)An adaptive algorithm to buil…Application of kriging method to structural reliability problems (2004)Application of kriging method…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Structural reliability analysis with parametric p-box uncertainties via a Bayesian updating BDRM (2024)Structural reliability analys…Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration (2024)Simulation-free reliability a…AK–TSAGL: A two-stage hybrid algorithm combining global exploration and local exploitation based on active learning for structural reliability analysis (2024)AK–TSAGL: A two-stage hybrid …Sparse moment quadrature for uncertainty modeling and quantification (2023)Sparse moment quadrature for …REIN: Reliability Estimation via Importance sampling with Normalizing flows (2023)REIN: Reliability Estimation …MAntRA: A framework for model agnostic reliability analysis (2023)MAntRA: A framework for model…An efficient method for accessing structural reliability indexes via power transformation family (2023)An efficient method for acces…AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation (2023)AGP-MCS+D: An active learning…Stochastic Finite Elements: A Spectral Approach (1991)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Time-variant reliability assessment through equivalent stochastic process transformation (2016)Adaptive surrogate model with active refinement combining Kriging and a trust region method (2017)Structural Reliability Analysis and Prediction (2017)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)On the Experimental Attainment of Optimum Conditions (1951)A fast and efficient response surface approach for structural reliability problems (1990)On the Experimental Attainment of Optimum Conditions (1992)Support vector machine in structural reliability analysis: A review (2023)The intrinsic random functions and their applications (1973)An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability (2014)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Active learning for structural reliability: Survey, general framework and benchmark (2022)Probability, statistics, and decision for civil engineers (1970)Bayesian updating and model class selection with Subset Simulation (2017)Structural and System Reliability (2022)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Global sensitivity analysis using polynomial chaos expansions (2007)Statistics for Spatial Data (1993)Aleatory or epistemic? Does it matter? (2008)A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)The Predictive Sample Reuse Method with Applications (1975)Surrogate-assisted global sensitivity analysis: an overview (2020)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Machine learning-based methods in structural reliability analysis: A review (2021)
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References

  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2009An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis834 cited
  • 2004Application of kriging method to structural reliability problems709 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2011Reliability-based design optimization using kriging surrogates and subset simulation450 cited
  • 2014Bayesian Updating with Structural Reliability Methods339 cited
  • 2013AK-SYS: An adaptation of the AK-MCS method for system reliability277 cited
  • 2014Assessment of the efficiency of Kriging surrogate models for structural reliability analysis222 cited
  • 2016Rare-event probability estimation with adaptive support vector regression surrogates210 cited
  • 2018ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods180 cited
  • 2018REAK: Reliability analysis through Error rate-based Adaptive Kriging162 cited
  • 2017Bayesian inference with Subset Simulation: Strategies and improvements128 cited
  • 2017Two accuracy measures of the Kriging model for structural reliability analysis

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103 cited
  • 2016Bayesian analysis of rare events85 cited
  • 2022Parallel adaptive Bayesian quadrature for rare event estimation83 cited
  • Cited by

    • 2024Simulation-free reliability analysis with importance sampling-based adaptive training physics-informed neural networks: Method and application to chloride penetration37 cited
    • 2023AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation36 cited
    • 2023REIN: Reliability Estimation via Importance sampling with Normalizing flows25 cited
    • 2023An efficient method for accessing structural reliability indexes via power transformation family17 cited
    • 2023MAntRA: A framework for model agnostic reliability analysis17 cited
    • 2024AK–TSAGL: A two-stage hybrid algorithm combining global exploration and local exploitation based on active learning for structural reliability analysis14 cited
    • 2024Structural reliability analysis with parametric p-box uncertainties via a Bayesian updating BDRM12 cited
    • 2023Sparse moment quadrature for uncertainty modeling and quantification12 cited