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Probabilistic Modeling of Discrete Structural Response with Application to Composite Plate Penetration Models
6 references·0 citing·17 second hop
Probabilistic Modeling of Discrete Structural Response with Application to Composite Plate Penetration Models (2021)Probabilistic Modeling of Discrete Struct…Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis (2018)Stochastic collocation approa…An efficient adaptive sparse grid collocation method through derivative estimation (2017)An efficient adaptive sparse …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…A D-Optimality-Based Sensitivity Test (1994)A D-Optimality-Based Sensitiv…A D -Optimality-Based Sensitivity Test (1994)A D -Optimality-Based Sensiti…A 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…A Stochastic Approximation Method (1951)On a Stochastic Approximation Method (1954)Optimal Design (1980)Active Learning Through Sequential Design, With Applications to Detection of Money Laundering (2009)Three-phase optimal design of sensitivity experiments (2013)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Uncertainty quantification for complex systems with very high dimensional response using Grassmann manifold variations (2018)A fully adaptive multilevel stochastic collocation strategy for solving elliptic PDEs with random data (2020)On the usefulness of gradient information in surrogate modeling: Application to uncertainty propagation in composite material models (2020)A two-dimensional interpolation function for irregularly-spaced data (1968)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Uncertainty quantification of bladed disc systems using data driven stochastic reduced order models (2020)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1994A D-Optimality-Based Sensitivity Test116 cited
  • 1994A D -Optimality-Based Sensitivity Test93 cited
  • 2018Stochastic collocation approach with adaptive mesh refinement for parametric uncertainty analysis27 cited
  • 2017An efficient adaptive sparse grid collocation method through derivative estimation25 cited

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