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Accelerating Monte Carlo estimation with derivatives of high-level finite element models
14 references·10 citing·38 second hop
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References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 2008Multilevel Monte Carlo Path Simulation1,436 cited
  • 2008The stochastic finite element method: Past, present and future999 cited
  • 2004Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations556 cited
  • 2011Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients490 cited
  • 2004Finite elements for elliptic problems with stochastic coefficients364 cited
  • 2015Chaospy: An open source tool for designing methods of uncertainty quantification336 cited
  • 2011Multi-level Monte Carlo Finite Element method for elliptic PDEs with stochastic coefficients296 cited
  • 2000Variance Reduction Techniques for Estimating Value-at-Risk217 cited
  • 2006On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data191 cited
  • 2013Adaptive stochastic Galerkin FEM111 cited
  • 2008Stochastic finite elements: Computational approaches to stochastic partial differential equations98 cited

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Cited by

  • 2019Model order reduction accelerated Monte Carlo stochastic isogeometric method for the analysis of structures with high-dimensional and independent material uncertainties48 cited
  • 2021Uncertainty quantification of spatially uncorrelated loads with a reduced-order stochastic isogeometric method36 cited
  • 2023Uncertainty quantification of mechanical property of piezoelectric materials based on isogeometric stochastic FEM with generalized nth-order perturbation33 cited
  • 2020An nth high order perturbation-based stochastic isogeometric method and implementation for quantifying geometric uncertainty in shell structures31 cited
  • 2022Probabilistic failure analysis of quasi-isotropic CFRP structures utilizing the stochastic finite element and the Karhunen–Loève expansion methods26 cited
  • 2017A generalized probabilistic edge-based smoothed finite element method for elastostatic analysis of Reissner–Mindlin plates23 cited
  • 2020A new stochastic isogeometric analysis method based on reduced basis vectors for engineering structures with random field uncertainties20 cited
  • 2018Projection methods for stochastic dynamic systems: A frequency domain approach16 cited
  • 2019Damage tolerance reliability analysis combining Kriging regression and support vector machine classification15 cited
  • 2017Calculating the Malliavin derivative of some stochastic mechanics problems14 cited