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Sequential exploration-exploitation with dynamic trade-off for efficient reliability analysis of complex engineered systems
16 references·14 citing·34 second hop
Sequential exploration-exploitation with dynamic trade-off for efficient reliability analysis of complex engineered systems (2017)Sequential exploration-exploitation with …Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Taking the Human Out of the L…Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Global sensitivity analysis-e…Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…A Maximum Confidence Enhancement Based Sequential Sampling Scheme for Simulation-Based Design (2013)A Maximum Confidence Enhancem…Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Simulation-based optimal Baye…Portfolio allocation for Bayesian optimization (2011)Portfolio allocation for Baye…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems (2010)Adaptive-sparse polynomial ch…A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)A Tutorial on Bayesian Optimi…Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009)Comparison of Non-Intrusive P…Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis (2008)Eigenvector dimension reducti…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics (2004)A univariate dimension-reduct…Reliability Assessment Using Stochastic Finite Element Analysis (2000)Reliability Assessment Using …Structural reliability under combined random load sequences (1978)Structural reliability under …A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise (1964)A New Method of Locating the …A comparative study of acquisition functions for active learning kriging in reliability-based design optimization (2025)A comparative study of acquis…Consecutive adaptive Kriging method for high-dimensional reliability analysis based on multi-fidelity framework (2024)Consecutive adaptive Kriging …Portfolio allocation strategy for active learning Kriging-based structural reliability analysis (2023)Portfolio allocation strategy…An effective active learning strategy for reliability-based design optimization under multiple simulation models (2023)An effective active learning …Uncertainty propagation method for high-dimensional black-box problems via Bayesian deep neural network (2022)Uncertainty propagation metho…An expected uncertainty reduction of reliability: adaptive sampling convergence criterion for Kriging-based reliability analysis (2022)An expected uncertainty reduc…A new sampling approach for system reliability-based design optimization under multiple simulation models (2022)A new sampling approach for s…Kriging-based reliability analysis considering predictive uncertainty reduction (2021)Kriging-based reliability ana…A novel fidelity selection strategy-guided multifidelity kriging algorithm for structural reliability analysis (2021)A novel fidelity selection st…Adaptive improved response surface method for reliability-based design optimization (2019)Adaptive improved response su…A novel step-wise AK-MCS method for efficient estimation of fuzzy failure probability under probability inputs and fuzzy state assumption (2019)A novel step-wise AK-MCS meth…Multivariate system reliability analysis considering highly nonlinear and dependent safety events (2018)Multivariate system reliabili…High-Dimensional Reliability-Based Design Optimization Involving Highly Nonlinear Constraints and Computationally Expensive Simulations (2018)High-Dimensional Reliability-…A High-Dimensional Reliability Analysis Method for Simulation-Based Design Under Uncertainty (2018)A High-Dimensional Reliabilit…Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive Smolyak Pseudospectral Approximations (2013)A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)Engineering Design with Digital Thread (2018)A 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)A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics (2004)A survey on approaches for reliability-based optimization (2010)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)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. 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(2010)Design and Analysis of Computer Experiments (1989)Advances in prospect theory: Cumulative representation of uncertainty (1992)The Adaptive Decision Maker (1994)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)A Tutorial on Bayesian Optimization (2018)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Machine learning-based methods in structural reliability analysis: A review (2021)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Scalable Bayesian Optimization Using Deep Neural Networks (2015)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)Comparison of response surface and neural network with other methods for structural reliability analysis (2003)A survey of non-probabilistic uncertainty treatment in finite element analysis (2004)Assessment of the efficiency of Kriging surrogate models for structural reliability analysis (2014)
this work references cited by second hop

References

  • 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization6,126 cited
  • 1978Structural reliability under combined random load sequences2,229 cited
  • 2010A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning2,053 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
  • 1964A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise1,084 cited
  • 2004A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics568 cited
  • 2013Metamodel-based importance sampling for structural reliability analysis535 cited
  • 2000Reliability Assessment Using Stochastic Finite Element Analysis524 cited
  • 2012Simulation-based optimal Bayesian experimental design for nonlinear systems451 cited
  • 2009Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification348 cited
  • 2015Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis185 cited
  • 2010Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems183 cited

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2008
Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis
179 cited
  • 2011Portfolio allocation for Bayesian optimization160 cited
  • 2013A Maximum Confidence Enhancement Based Sequential Sampling Scheme for Simulation-Based Design146 cited
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    • 2023Portfolio allocation strategy for active learning Kriging-based structural reliability analysis37 cited
    • 2018A High-Dimensional Reliability Analysis Method for Simulation-Based Design Under Uncertainty37 cited
    • 2019Adaptive improved response surface method for reliability-based design optimization35 cited
    • 2021Kriging-based reliability analysis considering predictive uncertainty reduction32 cited
    • 2019A novel step-wise AK-MCS method for efficient estimation of fuzzy failure probability under probability inputs and fuzzy state assumption31 cited
    • 2018High-Dimensional Reliability-Based Design Optimization Involving Highly Nonlinear Constraints and Computationally Expensive Simulations24 cited
    • 2022A new sampling approach for system reliability-based design optimization under multiple simulation models22 cited
    • 2023An effective active learning strategy for reliability-based design optimization under multiple simulation models19 cited
    • 2022Uncertainty propagation method for high-dimensional black-box problems via Bayesian deep neural network19 cited
    • 2024Consecutive adaptive Kriging method for high-dimensional reliability analysis based on multi-fidelity framework13 cited
    • 2022An expected uncertainty reduction of reliability: adaptive sampling convergence criterion for Kriging-based reliability analysis13 cited
    • 2025A comparative study of acquisition functions for active learning kriging in reliability-based design optimization12 cited