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Sensitivity-based adaptive sequential sampling for metamodel uncertainty reduction in multilevel systems
16 references·0 citing·47 second hopsampled
Sensitivity-based adaptive sequential sampling for metamodel uncertainty reduction in multilevel systems (2020)Sensitivity-based adaptive sequential sam…Model-Based Reliability Analysis With Both Model Uncertainty and Parameter Uncertainty (2018)Model-Based Reliability Analy…Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions (2018)Forward and inverse structura…Simulation of multi-dimensional random fields by Karhunen–Loève expansion (2017)Simulation of multi-dimension…Multifidelity Uncertainty Propagation via Adaptive Surrogates in Coupled Multidisciplinary Systems (2017)Multifidelity Uncertainty Pro…Hybrid Framework for the Estimation of Rare Failure Event Probability (2017)Hybrid Framework for the Esti…Global sensitivity analysis via multi-fidelity polynomial chaos expansion (2017)Global sensitivity analysis v…Dimension reduction of Karhunen-Loeve expansion for simulation of stochastic processes (2017)Dimension reduction of Karhun…A robust optimization approach based on multi-fidelity metamodel (2017)A robust optimization approac…Multidisciplinary Statistical Sensitivity Analysis Considering Both Aleatory and Epistemic Uncertainties (2016)Multidisciplinary Statistical…POLYNOMIAL-CHAOS-BASED KRIGING (2015)POLYNOMIAL-CHAOS-BASED KRIGINGA decomposition‐based approach to uncertainty analysis of feed‐forward multicomponent systems (2014)A decomposition‐based approac…Test Resource Allocation in Hierarchical Systems Using Bayesian Networks (2013)Test Resource Allocation in H…Concurrent treatment of parametric uncertainty and metamodeling uncertainty in robust design (2012)Concurrent treatment of param…Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Review of uncertainty-based m…Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Efficient computation of glob…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors (1996)An efficient algorithm for constructing optimal design of computer experiments (2004)Kriging metamodeling in simulation: A review (2007)A recommendation system for meta-modeling: A meta-learning based approach (2015)Epistemic uncertainty-based reliability analysis for engineering system with hybrid evidence and fuzzy variables (2019)Fuzzy sets (1965)Fuzzy sets (1996)Global Sensitivity Analysis. The Primer (2007)Engineering Design with Digital Thread (2018)A Comparative Study of Metaheuristic Algorithms for Reliability-Based Design Optimization Problems (2020)A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower (2022)Stochastic Finite Elements: A Spectral Approach (1991)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (2021)Convergence study of the truncated Karhunen–Loeve expansion for simulation of stochastic processes (2001)The stochastic finite element method: Past, present and future (2008)A sample-based iterative scheme for simulating non-stationary non-Gaussian stochastic processes (2020)System reliability analyses of static and dynamic structures via direct probability integral method (2021)A new computational scheme for structural static stochastic analysis based on Karhunen–Loève expansion and modified perturbation stochastic finite element method (2023)Simulation of Stochastic Processes by Spectral Representation (1991)Random function representation of stationary stochastic vector processes for probability density evolution analysis of wind-induced structures (2018)Stochastic dynamic response analysis and reliability assessment of non-linear structures under fully non-stationary ground motions (2019)The use of metamodeling techniques for optimization under uncertainty (2003)A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis (2016)Iterative reliable design space approach for efficient reliability-based design optimization (2019)A novel fidelity selection strategy-guided multifidelity kriging algorithm for structural reliability analysis (2021)Global and local Kriging limit state approximation for time-dependent reliability-based design optimization through wrong-classification probability (2021)Exact and Invariant Second-Moment Code Format (1974)A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics (2004)An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis (2009)A computational framework of kinematic accuracy reliability analysis for industrial robots (2020)Non-probabilistic polygonal convex set model for structural uncertainty quantification (2020)On reliability analysis method through rotational sparse grid nodes (2020)Design and Analysis of Computer Experiments (1989)STATISTICS FOR SPATIAL DATA (1992)Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices (2018)Efficient methods by active learning Kriging coupled with variance reduction based sampling methods for time-dependent failure probability (2019)An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis (2022)Rare Event Estimation Using Polynomial-Chaos Kriging (2016)Adaptive approaches in metamodel-based reliability analysis: A review (2020)
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References

  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2011Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles516 cited
  • 2015POLYNOMIAL-CHAOS-BASED KRIGING398 cited
  • 2010Efficient computation of global sensitivity indices using sparse polynomial chaos expansions383 cited
  • 2017Simulation of multi-dimensional random fields by Karhunen–Loève expansion99 cited
  • 2017Dimension reduction of Karhunen-Loeve expansion for simulation of stochastic processes95 cited
  • 2018Forward and inverse structural uncertainty propagations under stochastic variables with arbitrary probability distributions95 cited
  • 2017Global sensitivity analysis via multi-fidelity polynomial chaos expansion80 cited
  • 2012Concurrent treatment of parametric uncertainty and metamodeling uncertainty in robust design73 cited
  • 2017A robust optimization approach based on multi-fidelity metamodel69 cited
  • 2017Multifidelity Uncertainty Propagation via Adaptive Surrogates in Coupled Multidisciplinary Systems50 cited
  • 2018Model-Based Reliability Analysis With Both Model Uncertainty and Parameter Uncertainty50 cited
  • 2013Test Resource Allocation in Hierarchical Systems Using Bayesian Networks46 cited
  • 2014A decomposition‐based approach to uncertainty analysis of feed‐forward multicomponent systems

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43 cited
  • 2016Multidisciplinary Statistical Sensitivity Analysis Considering Both Aleatory and Epistemic Uncertainties37 cited
  • 2017Hybrid Framework for the Estimation of Rare Failure Event Probability35 cited
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