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Multifidelity Algorithm for the Sensitivity Analysis of Multidisciplinary Problems
16 references·0 citing·38 second hop
Multifidelity Algorithm for the Sensitivity Analysis of Multidisciplinary Problems (2023)Multifidelity Algorithm for the Sensitivi…mfEGRA: Multifidelity efficient global reliability analysis through active learning for failure boundary location (2021)mfEGRA: Multifidelity efficie…mfEGRA: Multifidelity efficient global reliability analysis through active learning for failure boundary location (2021)mfEGRA: Multifidelity efficie…Basics and Trends in Sensitivity Analysis (2021)Basics and Trends in Sensitiv…Derivative-Based Global Sensitivity Measures and Their Link with Sobol’ Sensitivity Indices (2016)Derivative-Based Global Sensi…A Review on Global Sensitivity Analysis Methods (2015)A Review on Global Sensitivit…Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests (2013)Derivative-based global sensi…Comparison of different global sensitivity analysis methods for aerospace vehicle optimal design (2013)Comparison of different globa…Likelihood-Based Approach to Multidisciplinary Analysis Under Uncertainty (2012)Likelihood-Based Approach to …Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Review of uncertainty-based m…Efficient surrogate models for reliability analysis of systems with multiple failure modes (2011)Efficient surrogate models fo…Modeling and management of epistemic uncertainty for multidisciplinary system analysis and design (2010)Modeling and management of ep…Global Sensitivity Analysis Challenges in Biological Systems Modeling (2009)Global Sensitivity Analysis C…Uncertainty in Industrial Practice (2008)Uncertainty in Industrial Pra…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…A 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…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …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)Global Sensitivity Analysis. The Primer (2007)Random forests for global sensitivity analysis: A selective review (2020)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)Making best use of model evaluations to compute sensitivity indices (2002)Derivative based global sensitivity measures (2010)Global sensitivity analysis of biological multiscale models (2019)Fast surrogate modeling using dimensionality reduction in model inputs and field output: Application to additive manufacturing (2020)Fuzzy sets (1965)Fuzzy sets (1996)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)STATISTICS FOR SPATIAL DATA (1992)AK-SYS: An adaptation of the AK-MCS method for system reliability (2013)An active learning kriging model for hybrid reliability analysis with both random and interval variables (2014)A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Numerical studies of space-filling designs: optimization of Latin Hypercube Samples and subprojection properties (2013)Computing derivative-based global sensitivity measures using polynomial chaos expansions (2014)Global sensitivity analysis using low-rank tensor approximations (2016)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)A new uncertainty importance measure (2006)SALib: An open-source Python library for Sensitivity Analysis (2017)Introduction to Sensitivity Analysis (2007)Moment Independent Importance Measures: New Results and Analytical Test Cases (2010)Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs (2021)The ICSCREAM Methodology: Identification of Penalizing Configurations in Computer Experiments Using Screening and Metamodel—Applications in Thermal Hydraulics (2021)Hybrid simulation–optimization methods: A taxonomy and discussion (2014)Time-dependent reliability of aging structures in the presence of non-stationary loads and degradation (2014)Design of computer experiments: A review (2017)
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References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code2,856 cited
  • 2015A Review on Global Sensitivity Analysis Methods1,113 cited
  • 2011Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles516 cited
  • 2011Efficient surrogate models for reliability analysis of systems with multiple failure modes290 cited
  • 2008Uncertainty in Industrial Practice243 cited
  • 2009Global Sensitivity Analysis Challenges in Biological Systems Modeling144 cited
  • 2013Derivative-based global sensitivity measures: General links with Sobol’ indices and numerical tests135 cited
  • 2021Basics and Trends in Sensitivity Analysis82 cited
  • 2012Likelihood-Based Approach to Multidisciplinary Analysis Under Uncertainty76 cited
  • 2016Derivative-Based Global Sensitivity Measures and Their Link with Sobol’ Sensitivity Indices46 cited
  • 2021mfEGRA: Multifidelity efficient global reliability analysis through active learning for failure boundary location45 cited
  • 2021mfEGRA: Multifidelity efficient global reliability analysis through active learning for failure boundary location

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29 cited
  • 2013Comparison of different global sensitivity analysis methods for aerospace vehicle optimal design15 cited
  • 2010Modeling and management of epistemic uncertainty for multidisciplinary system analysis and design9 cited
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