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Comparison of stochastic and interval methods for uncertainty quantification of metal forming processes
16 references·1 citing·26 second hop
Comparison of stochastic and interval methods for uncertainty quantification of metal forming processes (2018)Comparison of stochastic and interval met…Uncertainty Quantification (2017)Uncertainty QuantificationHandbook of Uncertainty Quantification (2017)Handbook of Uncertainty Quant…Handbook of Uncertainty Quantification (2016)Handbook of Uncertainty Quant…Introduction to Uncertainty Quantification (2015)Introduction to Uncertainty Q…Uncertainty Quantification: Theory, Implementation, and Applications (2013)Uncertainty Quantification: T…Spectral Methods for Uncertainty Quantification (2010)Spectral Methods for Uncertai…Spectral methods for uncertainty quantification : with applications to computational fluid dynamics (2010)Spectral methods for uncertai…Numerical Methods for Stochastic Computations: A Spectral Method Approach (2010)Numerical Methods for Stochas…Non-probabilistic finite element analysis for parametric uncertainty treatment in applied mechanics: Recent advances (2010)Non-probabilistic finite elem…Polynomial chaos expansion for sensitivity analysis (2008)Polynomial chaos expansion fo…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…A survey of non-probabilistic uncertainty treatment in finite element analysis (2004)A survey of non-probabilistic…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Convex Models of Uncertainty in Applied Mechanics (1990)Convex Models of Uncertainty …Sensitivity Analysis of Flexible Rotor Subjected to Interval Uncertainties (2019)Sensitivity Analysis of Flexi…A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions (2017)Sensitivity and uncertainty analysis for flexoelectric nanostructures (2018)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients (2011)An Introduction to Computational Stochastic PDEs (2014)Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey (2020)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Antioptimization of structures with large uncertain-but-non-random parameters via interval analysis (1998)Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (2004)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Stochastic finite element methods for partial differential equations with random input data (2014)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)A new uncertainty importance measure (2006)An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)Design and Analysis of Simulation Experiments (2018)Random forests for global sensitivity analysis: A selective review (2020)A unified framework for stochastic optimization (2018)A state-of-the-art review on uncertainty analysis of rotor systems (2022)
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254 cited
  • 2017Uncertainty Quantification184 cited
  • Cited by

    • 2019Sensitivity Analysis of Flexible Rotor Subjected to Interval Uncertainties9 cited