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OpenTURNS: An Industrial Software for Uncertainty Quantification in Simulation
15 references·7 citing·27 second hop
OpenTURNS: An Industrial Software for Uncertainty Quantification in Simulation (2017)OpenTURNS: An Industrial Software for Unc…Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Adaptive sparse polynomial ch…Structural Reliability (2009)Structural ReliabilityDo Rosenblatt and Nataf isoprobabilistic transformations really differ? (2009)Do Rosenblatt and Nataf isopr…An innovating analysis of the Nataf transformation from the copula viewpoint (2008)An innovating analysis of the…A generalization of the Nataf transformation to distributions with elliptical copula (2008)A generalization of the Nataf…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…Uncertainty Analysis with High Dimensional Dependence Modelling (2006)Uncertainty Analysis with Hig…Design and Modeling for Computer Experiments (2005)Design and Modeling for Compu…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…Making best use of model evaluations to compute sensitivity indices (2002)Making best use of model eval…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)A Quantitative Model-Independ…Structural Reliability Methods (1996)Structural Reliability MethodsDesign and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Simulation and the Monte Carlo Method (1981)Simulation and the Monte Carl…Robust adaptive least squares polynomial chaos expansions in high‐frequency applications (2023)Robust adaptive least squares…Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding (2021)Tackling random fields non-li…Surrogate based Global Sensitivity Analysis of ADM1-based Anaerobic Digestion Model (2021)Surrogate based Global Sensit…Non-intrusive polynomial chaos methods for uncertainty quantification in wave problems at high frequencies (2021)Non-intrusive polynomial chao…Robust adaptive least squares polynomial chaos expansions in high‐frequency applications (2020)Robust adaptive least squares…The Uranie platform: an open-source software for optimisation, meta-modelling and uncertainty analysis (2019)The Uranie platform: an open-…On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators (2019)On the merits of sparse surro…The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Statistics for Experimenters (1979)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Handbook on Constructing Composite Indicators (2005)Stochastic Finite Elements: A Spectral Approach (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)POLYNOMIAL-CHAOS-BASED KRIGING (2015)Probability Concepts in Engineering Planning and Design (1975)Structural reliability under combined random load sequences (1978)Aleatory or epistemic? Does it matter? (2008)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Stochastic Kriging for Simulation Metamodeling (2009)A Review on Global Sensitivity Analysis Methods (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)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)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)A New Study on Reliability-Based Design Optimization (1999)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)Sensitivity analysis: A review of recent advances (2015)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 1981Simulation and the Monte Carlo Method2,402 cited
  • 1999A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output2,274 cited
  • 2002Making best use of model evaluations to compute sensitivity indices2,225 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 1996Structural Reliability Methods2,192 cited
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 2005Design and Modeling for Computer Experiments1,135 cited
  • 2006Uncertainty Analysis with High Dimensional Dependence Modelling665 cited
  • 2008An innovating analysis of the Nataf transformation from the copula viewpoint286 cited
  • 2009Structural Reliability189 cited
  • 2008A generalization of the Nataf transformation to distributions with elliptical copula163 cited
  • 2009Do Rosenblatt and Nataf isoprobabilistic transformations really differ?149 cited

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Cited by

  • 2019The Uranie platform: an open-source software for optimisation, meta-modelling and uncertainty analysis50 cited
  • 2021Surrogate based Global Sensitivity Analysis of ADM1-based Anaerobic Digestion Model29 cited
  • 2019On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators24 cited
  • 2021Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding19 cited
  • 2023Robust adaptive least squares polynomial chaos expansions in high‐frequency applications18 cited
  • 2020Robust adaptive least squares polynomial chaos expansions in high‐frequency applications16 cited
  • 2021Non-intrusive polynomial chaos methods for uncertainty quantification in wave problems at high frequencies10 cited