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Thermal problem solution using a surrogate model clustering technique
7 references·3 citing·41 second hop
Thermal problem solution using a surrogate model clustering technique (2007)Thermal problem solution using a surrogat…Sparse grid collocation schemes for stochastic natural convection problems (2007)Sparse grid collocation schem…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …Risk and Uncertainty Analysis in Government Safety Decisions (2002)Risk and Uncertainty Analysis…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models (1988)An Investigation of Uncertain…A COMPARISON OF UNCERTAINTY AND SENSITIVITY ANALYSIS TECHNIQUES FOR COMPUTER MODELS (1985)A COMPARISON OF UNCERTAINTY A…On The Quantitative Definition of Risk (1981)On The Quantitative Definitio…Heterogeneous uncertainty quantification using Bayesian inference for simulation-based design optimization (2020)Heterogeneous uncertainty qua…Time-Dependent Concurrent Reliability-Based Design Optimization Integrating the Time-Variant B-Distance Index (2019)Time-Dependent Concurrent Rel…Thermal challenge problem: Summary (2008)Thermal challenge problem: Su…Risk, Ambiguity, and the Savage Axioms (1961)Perception of Risk (1987)Uncertainty (1990)A Casualty Risk Analysis For Unmanned Aerial System (UAS) Operations Over Inhabited Areas (2007)Ten Most Important Accomplishments in Risk Analysis, 1980–2010 (2012)Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications (2019)Design and Analysis of Computer Experiments (1989)Model validation and predictive capability for the thermal challenge problem (2007)Validation challenge workshop summary (2007)A Bayesian calibration approach to the thermal problem (2008)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2010)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Stochastic finite element methods for partial differential equations with random input data (2014)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A distribution-free approach to inducing rank correlation among input variables (1982)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Sensitivity Analysis as an Ingredient of Modeling (2000)Sensitivity Anaysis as an Ingredient of Modeling (2000)Model-based design of experiments for parameter precision: State of the art (2007)Empirical Model Building and Response Surfaces (1988)A new uncertainty importance measure (2006)A Review on Global Sensitivity Analysis Methods (2015)The PHI2 method: a way to compute time-variant reliability (2003)The equivalent extreme-value event and evaluation of the structural system reliability (2006)Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Advanced surrogate-based time-dependent reliability analysis method by an effective strategy of reducing the candidate sample pool (2021)A New Study on Reliability-Based Design Optimization (1999)Enriched Performance Measure Approach for Reliability-Based Design Optimization. (2005)A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)Reliability-Based Design Optimization under Mixed Aleatory/Epistemic Uncertainties: Theory and Applications (2021)Expedited surrogate-based quantification of engineering tolerances using a modified polynomial regression (2023)Surrogate model uncertainty quantification for active learning reliability analysis (2024)Dependence in probabilistic modeling, Dempster-Shafer theory, and probability bounds analysis. (2004)Summary from the epistemic uncertainty workshop: consensus amid diversity (2004)Identification of reliable regression- and correlation-based sensitivity measures for importance ranking of water-quality model parameters (2007)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)Risk assessment and risk management: Review of recent advances on their foundation (2015)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 1981On The Quantitative Definition of Risk3,099 cited
  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 1988An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models609 cited
  • 2007Sparse grid collocation schemes for stochastic natural convection problems401 cited
  • 1985A COMPARISON OF UNCERTAINTY AND SENSITIVITY ANALYSIS TECHNIQUES FOR COMPUTER MODELS182 cited
  • 2002Risk and Uncertainty Analysis in Government Safety Decisions119 cited

Cited by

  • 2020Heterogeneous uncertainty quantification using Bayesian inference for simulation-based design optimization19 cited
  • 2019Time-Dependent Concurrent Reliability-Based Design Optimization Integrating the Time-Variant B-Distance Index15 cited
  • 2008Thermal challenge problem: Summary12 cited

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