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Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis
8 references·0 citing·27 second hop
Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis (2018)Toward the Development of a Verification,…Quantifying uncertainty of a reacting multiphase flow in a bench-scale fluidized bed gasifier: A Bayesian approach (2017)Quantifying uncertainty of a …Optimal Sliced Latin Hypercube Designs (2014)Optimal Sliced Latin Hypercub…Validation and Uncertainty Quantification of a Multiphase Computational Fluid Dynamics Model (2013)Validation and Uncertainty Qu…A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…Guide for Verification and Validation in Computational Solid Mechanics (2009)Guide for Verification and Va…A PHENOMENA IDENTIFICATION AND RANKING TABLE (PIRT) EXERCISE FOR NUCLEAR POWER PLANT FIRE MODEL APPLICATIONS. (2008)A PHENOMENA IDENTIFICATION AN…An Introduction to Six Sigma and Process Improvement (2004)An Introduction to Six Sigma …Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …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)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale (2017)Optimal maximin $L_{1}$-distance Latin hypercube designs based on good lattice point designs (2018)Uniform projection designs (2018)A mathematical theory of evidence (1977)Stochastic Finite Elements: A Spectral Approach (1991)Verification and Validation in Computational Science and Engineering (1998)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables (2019)Modeling, analysis, and optimization under uncertainties: a review (2021)Design and Analysis of Experiments (2007)Global Sensitivity Analysis. The Primer (2007)QUICKER: Quantifying Uncertainty In Computational Knowledge Engineering Rapidly—A rapid methodology for uncertainty analysis (2014)Propagating input uncertainties into parameter uncertainties and model prediction uncertainties—A review (2023)Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Applying uncertainty quantification to multiphase flow computational fluid dynamics (2013)On the Experimental Attainment of Optimum Conditions (1951)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)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Model validation and predictive capability for the thermal challenge problem (2007)A Bayesian approach for quantification of model uncertainty (2010)Toward a Better Understanding of Model Validation Metrics (2011)Morgan Systems, Inc.: Application of Six Sigma to the finance function (2009)Process Monitoring In Accounting: Implementing Pre-Control Charts (2011)
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References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,945 cited
  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2009Guide for Verification and Validation in Computational Solid Mechanics390 cited
  • 2014Optimal Sliced Latin Hypercube Designs157 cited
  • 2004An Introduction to Six Sigma and Process Improvement32 cited
  • 2013Validation and Uncertainty Quantification of a Multiphase Computational Fluid Dynamics Model29 cited
  • 2008A PHENOMENA IDENTIFICATION AND RANKING TABLE (PIRT) EXERCISE FOR NUCLEAR POWER PLANT FIRE MODEL APPLICATIONS.9 cited
  • 2017Quantifying uncertainty of a reacting multiphase flow in a bench-scale fluidized bed gasifier: A Bayesian approach8 cited

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