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Adaptive Gaussian process emulators for efficient reliability analysis
16 references·4 citing·39 second hop
Adaptive Gaussian process emulators for efficient reliability analysis (2019)Adaptive Gaussian process emulators for e…LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)LIF: A new Kriging based lear…Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation (2016)Assessing small failure proba…Engineering Risk Assessment with Subset Simulation (2014)Engineering Risk Assessment w…Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…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…Adaptive Designs of Experiments for Accurate Approximation of a Target Region (2010)Adaptive Designs of Experimen…Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Choosing the Sample Size of a…Sequential Experiment Design for Contour Estimation From Complex Computer Codes (2008)Sequential Experiment Design …Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …A sampling technique enhancing accuracy and efficiency of metamodel-based RBDO: Constraint boundary sampling (2007)A sampling technique enhancin…Bayesian analysis of computer code outputs: A tutorial (2006)Bayesian analysis of computer…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Kollár Ádám Ferenc levelezése (2000)Kollár Ádám Ferenc levelezéseA Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Subset simulation for probabilistic computer models (2023)Subset simulation for probabi…Separation Reliability Analysis for the Low-Shock Separation Nut with Mechanism Motion Failure Mode (2022)Separation Reliability Analys…Robust optimisation of computationally expensive models using adaptive multi-fidelity emulation (2021)Robust optimisation of comput…Efficient estimation of extreme quantiles using adaptive kriging and importance sampling (2019)Efficient estimation of extre…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)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)Structural reliability under combined random load sequences (1978)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)A 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)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Design and Analysis of Simulation Experiments (2018)The Design and Analysis of Computer Experiments (2003)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)An overview of methods to evaluate uncertainty of deterministic models in decision support (2014)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)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Quality Control and Industrial Statistics. (1967)A Multivariate Exponentially Weighted Moving Average Control Chart (1992)Multivariate SPC Charts for Monitoring Batch Processes (1995)A Review and Perspective on Control Charting with Image Data (2011)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)Overview of PCA-Based Statistical Process-Monitoring Methods for Time-Dependent, High-Dimensional Data (2015)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Machine learning-based methods in structural reliability analysis: A review (2021)A distribution-free approach to inducing rank correlation among input variables (1982)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Uniform Design: Theory and Application (2000)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 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
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2009Choosing the Sample Size of a Computer Experiment: A Practical Guide766 cited
  • 2006Bayesian analysis of computer code outputs: A tutorial756 cited
  • 2000Kollár Ádám Ferenc levelezése613 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2011Reliability-based design optimization using kriging surrogates and subset simulation450 cited
  • 2016LIF: A new Kriging based learning function and its application to structural reliability analysis444 cited
  • 2016Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation412 cited
  • 2014Engineering Risk Assessment with Subset Simulation315 cited
  • 2010Adaptive Designs of Experiments for Accurate Approximation of a Target Region

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291 cited
  • 2008Sequential Experiment Design for Contour Estimation From Complex Computer Codes264 cited
  • 2007A sampling technique enhancing accuracy and efficiency of metamodel-based RBDO: Constraint boundary sampling198 cited
  • Cited by

    • 2019Efficient estimation of extreme quantiles using adaptive kriging and importance sampling9 cited
    • 2021Robust optimisation of computationally expensive models using adaptive multi-fidelity emulation7 cited
    • 2022Separation Reliability Analysis for the Low-Shock Separation Nut with Mechanism Motion Failure Mode7 cited
    • 2023Subset simulation for probabilistic computer models7 cited