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Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments
16 references·1 citing·39 second hop
Validation and uncertainty quantification of multiphase-CFD solvers: A data-driven Bayesian framework supported by high-resolution experiments (2019)Validation and uncertainty quantification…Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach (2019)Uncertainty quantification of…Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory (2018)Inverse uncertainty quantific…Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data (2017)Kriging-based inverse uncerta…New validation metrics for models with multiple correlated responses (2014)New validation metrics for mo…Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces (2014)Active Subspace Methods in Th…Uncertainty Quantification: Theory, Implementation, and Applications (2013)Uncertainty Quantification: T…Toward a Better Understanding of Model Validation Metrics (2011)Toward a Better Understanding…A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…Verification and Validation in Scientific Computing (2010)Verification and Validation i…Validation of imprecise probability models (2009)Validation of imprecise proba…A Bayesian calibration approach to the thermal problem (2008)A Bayesian calibration approa…Model validation and predictive capability for the thermal challenge problem (2007)Model validation and predicti…Measures of agreement between computation and experiment: Validation metrics (2006)Measures of agreement between…A Comparative Review of Sensitivity and Uncertainty Analysis of Large-Scale Systems—II: Statistical Methods (2004)A Comparative Review of Sensi…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Factorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Uncertainty Quantification for Multiphase Computational Fluid Dynamics Closure Relations with a Physics-Informed Bayesian Approach (2023)Uncertainty Quantification fo…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Empirical Model Building and Response Surfaces (1988)Multiple predictor smoothing methods for sensitivity analysis: Description of techniques (2007)Representation of analysis results involving aleatory and epistemic uncertainty (2010)Sensitivity analysis of TOPSIS method in water quality assessment: I. 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75 cited
  • 2014New validation metrics for models with multiple correlated responses62 cited
  • 2019Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach59 cited
  • Cited by

    • 2023Uncertainty Quantification for Multiphase Computational Fluid Dynamics Closure Relations with a Physics-Informed Bayesian Approach14 cited