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Reliability analysis of high-dimensional models using low-rank tensor approximations
16 references·12 citing·31 second hop
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References

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286 cited
  • 1989Asymptotic approximations for probability integrals200 cited
  • Cited by

    • 2021On dimensionality reduction via partial least squares for Kriging-based reliability analysis with active learning44 cited
    • 2022Ensemble of metamodels-assisted probability density evolution method for structural reliability analysis32 cited
    • 2023Partial least squares-based polynomial chaos Kriging for high-dimensional reliability analysis29 cited
    • 2023Uncertainty quantification in low-probability response estimation using sliced inverse regression and polynomial chaos expansion29 cited
    • 2023Polynomial chaos Kriging-based structural reliability analysis via the expected margin volume reduction28 cited
    • 2019Fast uncertainty quantification for dynamic flux balance analysis using non-smooth polynomial chaos expansions26 cited
    • 2023Gaussian process regression based on deep neural network for reliability analysis in high dimensions24 cited
    • 2022A two-stage point selection strategy for probability density evolution method-based reliability analysis20 cited
    • 2022Uncertain frequency response analysis of clamp-pipe systems via the coordinate transformed polynomial chaos expansion17 cited
    • 2023Global sensitivity analysis for multivariate outputs using generalized RBF-PCE metamodel enhanced by variance-based sequential sampling16 cited
    • 2022Sequential Active Learning of Low-Dimensional Model Representations for Reliability Analysis13 cited
    • 2023Performance assessment of Kriging with partial least squares for high-dimensional uncertainty and sensitivity analysis10 cited