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Investigating variability of fatigue indicator parameters of two-phase nickel-based superalloy microstructures
12 references·0 citing·27 second hop
Investigating variability of fatigue indicator parameters of two-phase nickel-based superalloy microstructures (2011)Investigating variability of fatigue indi…Kernel principal component analysis for stochastic input model generation (2011)Kernel principal component an…The effect of multiple sources of uncertainty on the convex hull of material properties of polycrystals (2009)The effect of multiple source…Identification of random shapes from images through polynomial chaos expansion of random level set functions (2009)Identification of random shap…An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations (2009)An adaptive hierarchical spar…A stabilized stochastic finite element second-order projection method for modeling natural convection in random porous media (2008)A stabilized stochastic finit…A non-linear dimension reduction methodology for generating data-driven stochastic input models (2008)A non-linear dimension reduct…Sparse grid collocation schemes for stochastic natural convection problems (2007)Sparse grid collocation schem…Modeling diffusion in random heterogeneous media: Data-driven models, stochastic collocation and the variational multiscale method (2007)Modeling diffusion in random …On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data (2006)On the construction and analy…Modeling uncertainty in flow simulations via generalized polynomial chaos (2003)Modeling uncertainty in flow …The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Stochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Stochastic collocation and mixed finite elements for flow in porous media (2008)Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (2004)Maximum likelihood estimation of stochastic chaos representations from experimental data (2005)A generalized uncertainty propagation criterion from benchmark studies of microstructured material systems (2012)A multiscale approach for model reduction of random microstructures (2012)AN OVERVIEW OF NONINTRUSIVE CHARACTERIZATION, PROPAGATION, AND SENSITIVITY ANALYSIS OF UNCERTAINTIES IN COMPUTATIONAL MECHANICS (2014)Stochastic Differential Equations: An Introduction with Applications. (1987)A non-adapted sparse approximation of PDEs with stochastic inputs (2011)Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure (2004)On the Capabilities of the Polynomial Chaos Expansion Method within SFE Analysis—An Overview (2011)Random field representations for stochastic elliptic boundary value problems and statistical inverse problems (2014)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Karhunen–Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis. (2013)DGSA: A Matlab toolbox for distance-based generalized sensitivity analysis of geoscientific computer experiments (2016)Recent progress of uncertainty quantification in small-scale materials science (2020)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2010)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Stochastic finite element methods for partial differential equations with random input data (2014)Stochastic model reduction for chaos representations (2007)A better understanding of model updating strategies in validating engineering models (2008)A least-squares approximation of partial differential equations with high-dimensional random inputs (2009)An adaptive multi-element generalized polynomial chaos method for stochastic differential equations (2005)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Fast Numerical Methods for Stochastic Computations: A Review (2009)
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References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2003Modeling uncertainty in flow simulations via generalized polynomial chaos1,428 cited
  • 2009An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations447 cited
  • 2007Sparse grid collocation schemes for stochastic natural convection problems401 cited
  • 2006On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data191 cited
  • 2007Modeling diffusion in random heterogeneous media: Data-driven models, stochastic collocation and the variational multiscale method96 cited
  • 2011Kernel principal component analysis for stochastic input model generation93 cited
  • 2008A non-linear dimension reduction methodology for generating data-driven stochastic input models60 cited
  • 2009Identification of random shapes from images through polynomial chaos expansion of random level set functions49 cited
  • 2009The effect of multiple sources of uncertainty on the convex hull of material properties of polycrystals36 cited
  • 2008A stabilized stochastic finite element second-order projection method for modeling natural convection in random porous media28 cited

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