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Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses
16 references·2 citing·28 second hop
Adaptive coupling of reduced basis modeling and Kriging based active learning methods for reliability analyses (2019)Adaptive coupling of reduced basis modeli…REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)REIF: A novel active-learning…Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Survey of Multifidelity Metho…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…Rare Event Estimation Using Polynomial-Chaos Kriging (2016)Rare Event Estimation Using P…Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation (2016)Assessing small failure proba…A new learning function for Kriging and its applications to solve reliability problems in engineering (2015)A new learning function for K…An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability (2014)An improved adaptive kriging-…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 …A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)A combined Importance Samplin…Efficient surrogate models for reliability analysis of systems with multiple failure modes (2011)Efficient surrogate models fo…Assessing small failure probabilities by combined subset simulation and Support Vector Machines (2011)Assessing small failure proba…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Numerical solution of spectral stochastic finite element systems (1996)Numerical solution of spectra…Importance sampling in structural systems (1989)Importance sampling in struct…A novel reliability updating based method for efficient estimation of failure-probability global sensitivity (2023)A novel reliability updating …A composite-projection-outline-based approximation method for system reliability analysis with hybrid uncertainties (2020)A composite-projection-outlin…Structural reliability under combined random load sequences (1978)Stochastic Finite Elements: A Spectral Approach (1991)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Machine learning-based methods in structural reliability analysis: A review (2021)Active learning for structural reliability: Survey, general framework and benchmark (2022)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)Reliability analysis—a review and some perspectives (2001)A critical appraisal of reliability estimation procedures for high dimensions (2004)Designs for Computer Experiments (1989)Probability, reliability and statistical methods in engineering design (1999)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Simulation and the Monte Carlo Method (2016)Design and Analysis of Computer Experiments (1989)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)Modeling, analysis, and optimization under uncertainties: a review (2021)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Uncertainties in risk analysis: Six levels of treatment (1996)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)A new adaptive importance sampling scheme for reliability calculations (1999)A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics (2004)POLYNOMIAL-CHAOS-BASED KRIGING (2015)
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References

  • 2017Structural Reliability Analysis and Prediction3,780 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2018Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization1,072 cited
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  • 1996Numerical solution of spectral stochastic finite element systems294 cited
  • 2011Efficient surrogate models for reliability analysis of systems with multiple failure modes290 cited
  • 2016

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Rare Event Estimation Using Polynomial-Chaos Kriging
279 cited
  • 2014An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability278 cited
  • 2013AK-SYS: An adaptation of the AK-MCS method for system reliability277 cited
  • Cited by

    • 2020A composite-projection-outline-based approximation method for system reliability analysis with hybrid uncertainties14 cited
    • 2023A novel reliability updating based method for efficient estimation of failure-probability global sensitivity9 cited