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DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.
16 references·6 citing·33 second hop
DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. (2011)DAKOTA : a multilevel parallel object-ori…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…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)An Anisotropic Sparse Grid St…A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)A Sparse Grid Stochastic Coll…High-Order Collocation Methods for Differential Equations with Random Inputs (2005)High-Order Collocation Method…Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)Sequential Optimization and R…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004)Sensitivity Analysis in Pract…Finite elements for elliptic problems with stochastic coefficients (2004)Finite elements for elliptic …Probability, Reliability and Statistical Methods in Engineering Design (2001)Probability, Reliability and …Probability, reliability and statistical methods in engineering design (1999)Probability, reliability and …A New Study on Reliability-Based Design Optimization (1999)A New Study on Reliability-Ba…Statistics for Spatial Data (1993)Statistics for Spatial DataFactorial Sampling Plans for Preliminary Computational Experiments (1991)Factorial Sampling Plans for …Improvement Of Second‐Order Reliability Estimates by Importance Sampling (1988)Improvement Of Second‐Order R…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …Structural reliability under combined random load sequences (1978)Structural reliability under …Review of Geometric Uncertainty Quantification in Gas Turbines (2020)Review of Geometric Uncertain…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…Sandia Verification and Validation Challenge Problem: A PCMM-Based Approach to Assessing Prediction Credibility (2015)Sandia Verification and Valid…Quantification of margins and mixed uncertainties using evidence theory and stochastic expansions (2015)Quantification of margins and…Application of the Integrated Safety Assessment methodology to safety margins. Dynamic Event Trees, Damage Domains and Risk Assessment (2015)Application of the Integrated…A user's guide to Sandia's latin hypercube sampling software : LHS UNIX library/standalone version. (2004)A user's guide to Sandia's la…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Correlation and Dependence in Risk Management: Properties and Pitfalls (2002)Making best use of model evaluations to compute sensitivity indices (2002)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Designs for Computer Experiments (1989)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)Metamodel-based importance sampling for structural reliability analysis (2013)Simulation and the Monte Carlo Method (1981)Hybrid Analysis Method for Reliability-Based Design Optimization (2003)Methods of structural safety (2006)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Simulation and the Monte Carlo Method (2016)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Exact and Invariant Second-Moment Code Format (1974)Quality Engineering Using Robust Design (1991)Computational methods in optimization considering uncertainties – An overview (2008)Structural Reliability Analysis and Prediction (2017)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)On the Experimental Attainment of Optimum Conditions (1951)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Structural Reliability Methods (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Handbook on Constructing Composite Indicators (2005)Tools for Composite Indicators Building (2005)An effective screening design for sensitivity analysis of large models (2007)Verification, validation, and predictive capability in computational engineering and physics (2004)
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References

  • 1991Factorial Sampling Plans for Preliminary Computational Experiments4,936 cited
  • 1978Structural reliability under combined random load sequences2,229 cited
  • 2004Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,797 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 2005High-Order Collocation Methods for Differential Equations with Random Inputs1,522 cited
  • 1999Probability, reliability and statistical methods in engineering design1,377 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2004Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design1,106 cited
  • 1999A New Study on Reliability-Based Design Optimization988 cited
  • 2008A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data942 cited
  • 2001Probability, Reliability and Statistical Methods in Engineering Design847 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
  • 1993Statistics for Spatial Data700 cited
  • 2008An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data

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494 cited
  • 1988Improvement Of Second‐Order Reliability Estimates by Importance Sampling382 cited
  • 2004Finite elements for elliptic problems with stochastic coefficients364 cited
  • Cited by

    • 2004A user's guide to Sandia's latin hypercube sampling software : LHS UNIX library/standalone version.88 cited
    • 2017Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data75 cited
    • 2020Review of Geometric Uncertainty Quantification in Gas Turbines63 cited
    • 2015Quantification of margins and mixed uncertainties using evidence theory and stochastic expansions54 cited
    • 2015Application of the Integrated Safety Assessment methodology to safety margins. Dynamic Event Trees, Damage Domains and Risk Assessment43 cited
    • 2015Sandia Verification and Validation Challenge Problem: A PCMM-Based Approach to Assessing Prediction Credibility12 cited