SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Uncertainty quantification of fluidized beds using a data-driven framework
13 references·0 citing·38 second hop
Uncertainty quantification of fluidized beds using a data-driven framework (2019)Uncertainty quantification of fluidized b…Handbook of Uncertainty Quantification (2016)Handbook of Uncertainty Quant…Problem Solving Environment for Uncertainty Analysis and Design Exploration (2015)Problem Solving Environment f…Applying uncertainty quantification to multiphase flow computational fluid dynamics (2013)Applying uncertainty quantifi…Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Data-driven uncertainty quant…A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)DAKOTA : a multilevel paralle…Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Uncertainty Quantification an…Probability, Reliability and Statistical Methods in Engineering Design (2001)Probability, Reliability and …Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach (1999)Propagation of probabilistic …Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Stochastic Finite Element Method: Response Statistics (1991)Stochastic Finite Element Met…An Analysis for Unreplicated Fractional Factorials (1986)An Analysis for Unreplicated …Design of Experiments (1936)On the Experimental Attainment of Optimum Conditions (1951)Statistics for Experimenters (1979)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Screening, Predicting, and Computer Experiments (1992)Exploratory designs for computational experiments (1995)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Comparison of Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Quantification (2009)Recent Advances in Non-Intrusive Polynomial Chaos and Stochastic Collocation Methods for Uncertainty Analysis and Design (2009)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Numerical solution of spectral stochastic finite element systems (1996)Non-Gaussian positive-definite matrix-valued random fields for elliptic stochastic partial differential operators (2005)Long-term behavior of polynomial chaos in stochastic flow simulations (2006)Strong and Weak Error Estimates for Elliptic Partial Differential Equations with Random Coefficients (2012)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)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Point-Collocation Nonintrusive Polynomial Chaos Method for Stochastic Computational Fluid Dynamics (2010)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)An introduction to sensitivity assessment of simulation models (2015)Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits (2018)Reliability analysis with stratified importance sampling based on adaptive Kriging (2020)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Measures of agreement between computation and experiment: Validation metrics (2006)Adaptive Designs of Experiments for Accurate Approximation of a Target Region (2010)Design and Analysis of Simulation Experiments (2018)Random forests for global sensitivity analysis: A selective review (2020)Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review (2023)Verification, validation, and predictive capability in computational engineering and physics (2004)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 1999Probability, reliability and statistical methods in engineering design1,377 cited
  • 2001Probability, Reliability and Statistical Methods in Engineering Design847 cited
  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2010DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.775 cited
  • 2008Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics769 cited
  • 2016Handbook of Uncertainty Quantification588 cited
  • 1986An Analysis for Unreplicated Fractional Factorials577 cited
  • 2012Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion451 cited
  • 1999Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach186 cited
  • 1991Stochastic Finite Element Method: Response Statistics120 cited
  • 2013Applying uncertainty quantification to multiphase flow computational fluid dynamics44 cited
  • 2015Problem Solving Environment for Uncertainty Analysis and Design Exploration12 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work