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Quantifying uncertainty of a reacting multiphase flow in a bench-scale fluidized bed gasifier: A Bayesian approach
3 references·1 citing·19 second hop
Quantifying uncertainty of a reacting multiphase flow in a bench-scale fluidized bed gasifier: A Bayesian approach (2017)Quantifying uncertainty of a reacting mul…Applying uncertainty quantification to multiphase flow computational fluid dynamics (2013)Applying uncertainty quantifi…A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Combining Field Data and Comp…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 V…Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Validation and Uncertainty Quantification of a Multiphase Computational Fluid Dynamics Model (2013)Comparison of intrusive and nonintrusive polynomial chaos expansion-based approaches for high dimensional parametric uncertainty quantification and propagation (2019)Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes (2020)A mathematical theory of evidence (1977)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 Computer Experiments (1989)Minimax and maximin distance designs (1990)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Framework for Validation of Computer Models (2007)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability (2012)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Guide for Verification and Validation in Computational Solid Mechanics (2009)
this work references cited by second hop

References

  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 2013Applying uncertainty quantification to multiphase flow computational fluid dynamics44 cited

Cited by

  • 2018Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis7 cited

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